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• STL algorithms and concurrent programming

  - by Andrew

  Hello everyone, Can any of STL algorithms/container operations like std::fill, std::transform be executed in parallel if I enable OpenMP for my compiler? I am working with MSVC 2008 at the moment. Or maybe there are other ways to make it concurrent? Thanks.

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• Applications of concurrent queues and stacks in .NET 4

  - by Jon Harrop

  .NET 4 includes new concurrent data structures. The Bag and Dictionary collections have obvious applications but I cannot see any use for the Queue and Stack data structures. What are people using these for? Also, I've noticed that the design based upon linked lists incurs a lot of allocation and that destroys scalability. This is surprising given that the sole purpose of these collections is multicore programming. Is this an inherent limitation or are they just badly implemented?

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• Tab Sweep - Jazoon aftermath, PaaS press, REST +WebSocket, ...

  - by alexismp

  Recent Tips and News on Java EE 6 & GlassFish: •The GlassFish Tale - Oracle Scene (Markus) • Notes from Jazoon 2011 (Marek) • Jazoon '11 presentations (Jazoon.com) • Enterprise Java upgrade geared to PaaS clouds (TechCentral.ie) • JavaOne 2011: Content review process and Tips for submissions (Arun) • REST + WebSocket applications? Why not using the Atmosphere Framework (Jeanfrancois) • Get your Java 7 screensaver! (Duke)

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• Tab Sweep: Java EE 6 Scopes, Observer, SSL, Workshop, Virtual Server, JDBC Connection Validation

  - by arungupta

  Recent Tips and News on Java, Java EE 6, GlassFish & more : • How Java EE 6 Scopes Affect User Interactions (DevX.com) • Why is Java EE 6 better than Spring ? (Arun Gupta) • JavaEE Revisits Design Patterns: Observer (Murat Yener) • Getting started with Glassfish V3 and SSL (JavaDude) • Software stacks market share within Jelastic: March 2012 (Jelastic) • All aboard the Java EE 6 Love Boat! (Bert Ertman) • Full stack Java EE workshop (Kito Mann) • Create a virtual server from console in glassfish (Hector Guzman) • Glassfish – JDBC Connection Validation explained (Alexandru Ersenie) • Automatically setting the label of a component in JSF 2 (Arjan Tijms) • JSF2 + Primefaces3 + Spring3 & Hibernate4 Integration Project (Eren Avsarogullari) • THE EXECUTABLE FEEL OF JAX-RS 2.0 CLIENT (Adam Bien) Here are some tweets from this week ... web-app dtd(s) on http://t.co/4AN0057b R.I.P. using http://t.co/OTZrOEEr instead. Thank you Oracle! finally got GlassFish and Cassandra running embedded so I can unit test my app #jarhell #JavaEE6 + #NetBeans is really a pleasure to work with! Reading latest chapter in #Spring vs #JavaEE wars https://t.co/RqlGmBG9 (and yes, #JavaEE6 is better :P) @javarebel very easy install and very easy to use in combination with @netbeans and @glassfish. Save your time.

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• Tab Sweep - More OSGi, Coherence, Oracle Java moves, JMS 2.0 and more

  - by alexismp

  Recent Tips and News on Java, Java EE 6, GlassFish & more : • Why I will use Java EE (JEE, and not J2EE) instead of Spring in new Enterprise Java Projects (Kai) • What is Happening vs. What is Interesting (Geertjan) • Oracle Coherence & Oracle Service Bus: REST API Integration (Nino) • Oracle's Top 10 Java Moves of 2011 (eWeek) • JEP 122: Remove the Permanent Generation (OpenJDK.org) • JEE6 – Glassfish 3.1, Clustering & Failover (Xebia.fr) • Testing LAZY mechanism in EJB 3 (e-blog-java) • Discoing with Vorpal (Chuk) • Devoxx : les évolutions de JMS 2.0 (Ippon.fr) • More OSGi... (Jarda) • Practical Migration to Java 7 - Small Codeexamples (FOSSLC) • Coherence Part III : Filtres (Zenika.com)

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• Tab Sweep - Upgrade to Java EE 6, Groovy NetBeans, JSR310, JCache interview, OEPE, and more

  - by alexismp

  Recent Tips and News on Java, Java EE 6, GlassFish & more : • Implementing JSR 310 (New Date/Time API) in Java 8 Is Very Strongly Favored by Developers (java.net) • Upgrading To The Java EE 6 Web Profile (Roger) • NetBeans for Groovy (blogs.oracle.com) • Client Side MOXy JSON Binding Explained (Blaise) • Control CDI Containers in SE and EE (Strub) • Java EE on Google App Engine: CDI to the Rescue - Aleš Justin (jaxenter) • The Java EE 6 Example - Testing Galleria - Part 4 (Markus) • Why is OpenWebBeans so fast? (Strub) • Welcome to the new Oracle Enterprise Pack for Eclipse Blog (blogs.oracle.com) • Java Spotlight Episode 75: Greg Luck on JSR 107 Java Temporary Caching API (Spotlight Podcast) • Glassfish cluster installation and administration on top of SSH + public key (Paulo) • Jfokus 2012 on Parleys.com (Parleys) • Java Tuning in a Nutshell - Part 1 (Rupesh) • New Features in Fork/Join from Java Concurrency Master, Doug Lea (DZone) • A Java7 Grammar for VisualLangLab (Sanjay) • Glassfish version 3.1.2: Secure Admin must be enabled to access the DAS remotely (Charlee) • Oracle Announces the Certification of the Oracle Database on Oracle Linux 6 and Red Hat Enterprise Linux 6

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• Load balancing with multiple gateways

  - by ttouch

  I have to different ISPs, each on each own network. The main connects via ethernet and the secondary via wifi. The two networks have no relation at all. I just connect to them simultaneously. The reason I want to load balance between them is to achieve higher Internet speeds. Note: I have no advanced network hardware. Just my pc and the two routers that I have no access... main network: if: eth0 gw: 192.168.178.1 my ip: 192.168.178.95 speed: 400 kbit/s secondary network: if: wlan0 gw: 192.168.1.1 my ip: 192.168.1.95 speed: 300 kbit/s A diagram to explain the situation: http://i.imgur.com/NZdsv.jpg I'm on Arch Linux x64. I use netcfg to configure the interfaces Configs: # /etc/network.d/main CONNECTION='ethernet' DESCRIPTION='A basic static ethernet connection using iproute' INTERFACE='eth0' IP='static' ADDR='192.168.178.95' # /etc/network.d/second CONNECTION='wireless' DESCRIPTION='A simple WEP encrypted wireless connection' INTERFACE='wlan0' SECURITY='wep' ESSID='wifi_essid' KEY='the_password' IP="static" ADDR='192.168.1.95' And I use iptables to load balance, rules: #!/bin/bash /usr/sbin/ip route flush table ISP1 2>/dev/null /usr/sbin/ip rule del fwmark 101 table ISP1 2>/dev/null /usr/sbin/ip route add table ISP1 192.168.178.0/24 dev eth0 proto kernel scope link src 192.168.178.95 metric 202 /usr/sbin/ip route add table ISP1 default via 192.168.178.1 dev eth0 /usr/sbin/ip rule add fwmark 101 table ISP1 /usr/sbin/ip route flush table ISP2 2>/dev/null /usr/sbin/ip rule del fwmark 102 table ISP2 2>/dev/null /usr/sbin/ip route add table ISP2 192.168.1.0/24 dev wlan0 proto kernel scope link src 192.168.1.95 metric 202 /usr/sbin/ip route add table ISP2 default via 192.168.1.1 dev wlan0 /usr/sbin/ip rule add fwmark 102 table ISP2 /usr/sbin/iptables -t mangle -F /usr/sbin/iptables -t mangle -X /usr/sbin/iptables -t mangle -N MARK-gw1 /usr/sbin/iptables -t mangle -A MARK-gw1 -m comment --comment 'send via 192.168.178.1' -j MARK --set-mark 101 /usr/sbin/iptables -t mangle -A MARK-gw1 -j CONNMARK --save-mark /usr/sbin/iptables -t mangle -A MARK-gw1 -j RETURN /usr/sbin/iptables -t mangle -N MARK-gw2 /usr/sbin/iptables -t mangle -A MARK-gw2 -m comment --comment 'send via 192.168.1.1' -j MARK --set-mark 102 /usr/sbin/iptables -t mangle -A MARK-gw2 -j CONNMARK --save-mark /usr/sbin/iptables -t mangle -A MARK-gw2 -j RETURN /usr/sbin/iptables -t mangle -A PREROUTING -j CONNMARK --restore-mark /usr/sbin/iptables -t mangle -A PREROUTING -m comment --comment "this stream is already marked; escape early" -m mark ! --mark 0 -j ACCEPT /usr/sbin/iptables -t mangle -A PREROUTING -m comment --comment 'prevent asynchronous routing' -i eth0 -m conntrack --ctstate NEW -j MARK-gw1 /usr/sbin/iptables -t mangle -A PREROUTING -m comment --comment 'prevent asynchronous routing' -i wlan0 -m conntrack --ctstate NEW -j MARK-gw2 /usr/sbin/iptables -t mangle -N DEF_POL /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'default balancing' -p tcp -m conntrack --ctstate ESTABLISHED,RELATED -j CONNMARK --restore-mark /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'default balancing' -p udp -m conntrack --ctstate ESTABLISHED,RELATED -j CONNMARK --restore-mark /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j MARK-gw1 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j ACCEPT /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j MARK-gw2 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 tcp' -p tcp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j ACCEPT /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j MARK-gw1 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw1 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 0 -j ACCEPT /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j MARK-gw2 /usr/sbin/iptables -t mangle -A DEF_POL -m comment --comment 'balance gw2 udp' -p udp -m conntrack --ctstate NEW -m statistic --mode nth --every 2 --packet 1 -j ACCEPT /usr/sbin/iptables -t mangle -A PREROUTING -j DEF_POL /usr/sbin/iptables -t nat -A POSTROUTING -m comment --comment 'snat outbound eth0' -o eth0 -s 192.168.0.0/16 -m mark --mark 101 -j SNAT --to-source 192.168.178.95 /usr/sbin/iptables -t nat -A POSTROUTING -m comment --comment 'snat outbound wlan0' -o wlan0 -s 192.168.0.0/16 -m mark --mark 102 -j SNAT --to-source 192.168.1.95 /usr/sbin/ip route flush cache (this script was made by fukawi2, I don't know how to use iptables) but I have no Internet connection... output of iptables -t mangle -nvL Chain PREROUTING (policy ACCEPT 1254K packets, 1519M bytes) pkts bytes target prot opt in out source destination 1278K 1535M CONNMARK all -- * * 0.0.0.0/0 0.0.0.0/0 CONNMARK restore 21532 15M ACCEPT all -- * * 0.0.0.0/0 0.0.0.0/0 /* this stream is already marked; escape early */ mark match ! 0x0 582 72579 MARK-gw1 all -- eth0 * 0.0.0.0/0 0.0.0.0/0 /* prevent asynchronous routing */ ctstate NEW 2376 696K MARK-gw2 all -- wlan0 * 0.0.0.0/0 0.0.0.0/0 /* prevent asynchronous routing */ ctstate NEW 1257K 1520M DEF_POL all -- * * 0.0.0.0/0 0.0.0.0/0 Chain INPUT (policy ACCEPT 1276K packets, 1535M bytes) pkts bytes target prot opt in out source destination Chain FORWARD (policy ACCEPT 0 packets, 0 bytes) pkts bytes target prot opt in out source destination Chain OUTPUT (policy ACCEPT 870K packets, 97M bytes) pkts bytes target prot opt in out source destination Chain POSTROUTING (policy ACCEPT 870K packets, 97M bytes) pkts bytes target prot opt in out source destination Chain DEF_POL (1 references) pkts bytes target prot opt in out source destination 1236K 1517M CONNMARK tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* default balancing */ ctstate RELATED,ESTABLISHED CONNMARK restore 15163 2041K CONNMARK udp -- * * 0.0.0.0/0 0.0.0.0/0 /* default balancing */ ctstate RELATED,ESTABLISHED CONNMARK restore 555 33176 MARK-gw1 tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 tcp */ ctstate NEW statistic mode nth every 2 555 33176 ACCEPT tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 tcp */ ctstate NEW statistic mode nth every 2 277 16516 MARK-gw2 tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 tcp */ ctstate NEW statistic mode nth every 2 packet 1 277 16516 ACCEPT tcp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 tcp */ ctstate NEW statistic mode nth every 2 packet 1 1442 384K MARK-gw1 udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 udp */ ctstate NEW statistic mode nth every 2 1442 384K ACCEPT udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw1 udp */ ctstate NEW statistic mode nth every 2 720 189K MARK-gw2 udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 udp */ ctstate NEW statistic mode nth every 2 packet 1 720 189K ACCEPT udp -- * * 0.0.0.0/0 0.0.0.0/0 /* balance gw2 udp */ ctstate NEW statistic mode nth every 2 packet 1 Chain MARK-gw1 (3 references) pkts bytes target prot opt in out source destination 2579 490K MARK all -- * * 0.0.0.0/0 0.0.0.0/0 /* send via 192.168.178.1 */ MARK set 0x65 2579 490K CONNMARK all -- * * 0.0.0.0/0 0.0.0.0/0 CONNMARK save 2579 490K RETURN all -- * * 0.0.0.0/0 0.0.0.0/0 Chain MARK-gw2 (3 references) pkts bytes target prot opt in out source destination 3373 901K MARK all -- * * 0.0.0.0/0 0.0.0.0/0 /* send via 192.168.1.1 */ MARK set 0x66 3373 901K CONNMARK all -- * * 0.0.0.0/0 0.0.0.0/0 CONNMARK save 3373 901K RETURN all -- * * 0.0.0.0/0 0.0.0.0/0

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• .net 4.0 concurrent queue dictionary

  - by freddy smith

  I would like to use the new concurrent collections in .NET 4.0 to solve the following problem. The basic data structure I want to have is a producer consumer queue, there will be a single consumer and multiple producers. There are items of type A,B,C,D,E that will be added to this queue. Items of type A,B,C are added to the queue in the normal manner and processed in order. However items of type D or E can only exist in the queue zero or once. If one of these is to be added and there already exists another of the same type that has not yet been processed then this should update that other one in-place in the queue. The queue position would not change (i.e. would not go to the back of the queue) after the update. Which .NET 4.0 classes would be best for this?

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• Why servlet halt a moment in concurrent request.

  - by Hlex

  I use Axis for webservice service. when more than 8 concurrent , there are some request halt randomly for about 30 seconds. I debug by log in every line and found from my code: public class foo{ void bar(){ a(); log.debug('exit from a'); } void a(){ log.debug('exit a'); } the time between "exit a" and "exit from a" are delay about 30 second. This is no reason. I try to increase web container thread pool , heap but didn't help ============== Enviroment websphere 6.1 Spring 2.5 , Hibernate 3 ,Axis 1.6.5 Min heap to 768 Max heap to 1024 Thread pool defult max to 300 Thread pool web container max to 500 ===============

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• Logic for controll concurrent in block or funciton

  - by Hlex

  1)My environment is web application, I accept large request from selvets. A) In some block/method i want to control concurrent to not greater than 5 B) if there are 5 request in that block , the new coming must wait up to 60 second then throws error C) if there are sleep/waiting request most then 30,throws error How I do this? 2)(Optional Question) from above I have to distribute control logic to all clustered host. I plan to use hazelcast to share the control logic (e.g. current counter) I see they provide BlockingQueue & ExectorService but I have no idea how to use in my case. Please recommend if you have idea.

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• Logic for controll concurrent in block/method

  - by Hlex

  1)My environment is web application, I develop servlet to receive request. A) In some block/method i want to control concurrent to not greater than 5 B) if there are 5 request in that block , the new coming must wait up to 60 second then throws error C) if there are sleep/waiting request more then 30, the 31th request will be throwed an error How I do this? 2)(Optional Question) from above I have to distribute control logic to all clustered host. I plan to use hazelcast to share the control logic (e.g. current counter) I see they provide BlockingQueue & ExectorService but I have no idea how to use in my case. Please recommend if you have idea.

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• Limiting the maximum number of concurrent requests django/apache

  - by Johan

  Hi, I have a django site that demonstrates the usage of a tool. One of my views takes a file as input and runs some fairly heavy computation trough an external python script and returns some output to the user. The tool runs fast enough to return the output in the same request though. I would however want to limit how many concurrent requests to this URL/view to keep the server from getting congested. Any tips on how i would go about doing this? The page in itself is very simple and the usage will be low.

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• ASP.NET - Exception logging approach for concurrent user scenario

  - by Whiskey-Tango-Foxtrot

  I am involved in designing a asp.net webforms application using .NET 3.5. I have a requirement where we need to log exceptions. What is the best approach for exception handling, given that there would be concurrent users for this application? Is there a need or possibility to log in exceptions at a user level? My support team in-charge wants to have a feature where the support team can get user specific log files. To give you a background, this application is currently on VB 6.0 and we are migrating it along with some enhancements. So, today the support personnel have a provision to get user specific log files.

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• Ubuntu 14.04 aura pour nom « Trusty Tahr », Mark Shuttleworth s'en prend aux détracteurs de Mir

  Ubuntu 14.04 aura pour nom « Trusty Tahr » Mark Shuttleworth s'en prend aux détracteurs de Mir qui attaquent le serveur d'affichage pour des raisons purement politiquesPas de repos pour Canonical. Moins d'une semaine après la sortie grand public d'Ubuntu 13.10 alias Saucy Salamander, la société se penche déjà sur son successeur Ubuntu 14.04.Mark Shuttleworth, fondateur de Canonical, a publié un billet de blog un jour après la publication d'Ubuntu 13.10, pour révéler le nom et les choix de conception...

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• CNBC Exclusive: Mark Hurd On BT Win, Oracle Growth, And Investing In The Cloud

  - by Roxana Babiciu

  CNBC Europe recently interviewed Mark Hurd on Oracle's growth strategy and cloud investments, using our BT HCM Cloud win as a jumping-off point. When the CNBC panel misstated that cloud is “a new line for Oracle,” Mark responded, "Larry has been driving at this longer than anybody, and it shows in the products and the portfolio we have today." Case in point? Our BT win. Share this wide-ranging interview with partners today.

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• C++ socket concurrent server

  - by gregpi

  Hi all; Im writing a concurrent server that's supposed to have a communication channel and a data channel. The client initially connect to the communication channel to authenticate, upon successful authentication, the client is then connected to the data channel to access data. My program is already doing that, and im using threads.My only issue is that if I try to connect another client, I get a "cannot bind : address already in use" error. I have it this way: PART A Client connect to port 4567 (and enter his login info). A thread spawn to handle the client(repeated for each client that connects). In the thread created, I have a function(let's call it FUNC_A) that checks the client's login info(dont worry about how the check is done), if successful, the thread starts the data server(listening on 8976) then sends an OK to the client, once received the client attempts to connect to the data server. PART B Once a client connect to the data server, from inside FUNC_A the client is accepted and another thread is spawn to handle the client's connection to the data server.(hopefully everything is clear). Now, all that is working fine. However, if I try to connect with second client when it gets to PART B I get a "cannot bind error: address already in use". I've tried so many different ways, I've even tried spawning a thread to start the data server and accept the client and then start another thread to handle that connection. still no luck. Please give me a suggestion as to what I'm doing wrong, how do I go about doing this or what's the best way to implement it. Thank you

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• Performance of concurrent software on multicore processors

  - by Giorgio

  Recently I have often read that, since the trend is to build processors with multiple cores, it will be increasingly important to have programming languages that support concurrent programming in order to better exploit the parallelism offered by these processors. In this respect, certain programming paradigms or models are considered well-suited for writing robust concurrent software: Functional programming languages, e.g. Haskell, Scala, etc. The actor model: Erlang, but also available for Scala / Java (Akka), C++ (Theron, Casablanca, ...), and other programming languages. My questions: What is the state of the art regarding the development of concurrent applications (e.g. using multi-threading) using the above languages / models? Is this area still being explored or are there well-established practices already? Will it be more complex to program applications with a higher level of concurrency, or is it just a matter of learning new paradigms and practices? How does the performance of highly concurrent software compare to the performance of more traditional software when executed on multiple core processors? For example, has anyone implemented a desktop application using C++ / Theron, or Java / Akka? Was there a boost in performance on a multiple core processor due to higher parallelism?

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• Need a Holistic view of your Concurrent Processing? Choose CP Analyzer

  - by user793044

  The Concurrent Processing Analyzer is a Self-Service Health-Check script which reviews the overall Concurrent Processing Footprint, analyzes the current configurations and settings for the environment providing feedback and recommendations on Best Practices. This is a non-invasive script which provides recommended actions to be performed on the instance it was run on.  For production instances, always apply any changes to a recent clone to ensure an expected outcome. Benefits include: E-Business Applications Concurrent Processing Analyzer Overview E-Business Applications Concurrent Request Analysis E-Business Applications Concurrent Manager Analysis Identifies Concurrent System Setup and configurations Identifies and recommends Concurrent Best Practices Easy to add Tool for regular Concurrent Maintenance Execute Analysis anytime to compare trending from past outputs Go to Doc ID 1411723.1 for more details and script download. Feedback welcome!

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• Java Spotlight Episode 105: Mark Reinhold on the Future of Java

  - by Roger Brinkley

  Our yearly interview with Mark Reinhold, Chief Java Architect, Java Platform Group on the future of Java. Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link:  Java Spotlight Podcast in iTunes. Show Notes News Two Java Update Releases New Java SE 6 software updates from Apple for OS X 10.8, 10.7 and 10.6 are now live and available to all customers via the Mac App Store / Software Update. The JavaFX Community Site on Java.net JSR 360: Connected Limited Device Configuration 8 JSR 361: Java ME Embedded Profile 2012 JCP EC Election Ballot open Meet the EC Candidates Recording and Materials Events Oct 22-23, Freescale Technology Forum - Japan, Tokyo, Japan Oct 23-25, EclipseCon Europe, Ludwigsburg, Germany Oct 30-Nov 1, Arm TechCon, Santa Clara, United States of America Oct 31, JFall, Hart van Holland, Netherlands Nov 2-3, JMaghreb, Rabat, Morocco Nov 5-9, Øredev Developer Conference, Malmö, Sweden Nov 13-17, Devoxx, Antwerp, Belgium Nov 20-22, DOAG 2012, Nuremberg, Germany Dec 3-5, jDays, Göteborg, Sweden Dec 4-6, JavaOne Latin America, Sao Paolo, Brazil Feature InterviewMark Reinhold is Chief Architect of the Java Platform Group at Oracle, where he works on the Java Platform, Standard Edition, and OpenJDK. His past contributions to the platform include character-stream readers and writers, reference objects, shutdown hooks, the NIO high-performance I/O APIs, library generification, and service loaders. Mark was the lead engineer for the 1.2 and 5.0 releases and the specification lead for Java SE 6. He is currently leading the Jigsaw and JDK 7 Projects in the OpenJDK Community. Mark holds a Ph.D. in Computer Science from the Massachusetts Institute of Technology. In this interview he discusses the future of Java Platform with regards to Jigsaw, Lambda, and Nashorn components as well as the OpenJDK community. What’s Cool QotD: Ubuntu 12.10 Release Notes on OpenJDK 7 New Lambda binary drop Development forest for Compact Profiles (JEP 161)

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• Mark Hurd Believes HR is the Next Major Revenue Driver: Read His Latest LinkedIn Influencer Blog

  - by kristin.jellison

  “Most CEOs realize they need to make some dramatic changes in how they recruit people, align and manage performance, make compensation decisions, and optimize talent,” Oracle President Mark Hurd writes. The key issue, he explains, is that many CEOs aren’t equipping their HR teams with the tools and resources they need to unlock employees’ full value. This oversight is keeping HR organizations walled off from revenue generation and customer engagements—two chief sources of value for a company. So what is a CEO to do, given tightening budgets, a sluggish economy and a rapidly changing workforce? Hurd’s answer: invest in a modern Human Capital Management (HCM) system—one equipped with built-in intelligence and predictive analytics capabilities. To find out more about how to deliver effective HCM transformations, read Mark Hurd’s full article, “How CEOs Can Transform HR into a Revenue Driver” and visit the Oracle HCM Cloud Service site. We also encourage you to log into your LinkedIn account and “Follow” Mark to receive future posts. Share the link to his blog with your networks via Twitter, Facebook and other social media channels. You can also “Like” the post on Oracle’s LinkedIn and Facebook pages, and/or retweet via @Oracle.

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• Web framework able to handle many concurrent users [closed]

  - by Jonas

  Social networking sites needs to handle many concurrent users e.g. for chat functionality. What web frameworks scales well and are able to handle more than 10.000 concurrent users connected with Comet or WebSockets. The server is a Linux VPS with limited memory, e.g. 1GB-8GB. I have been looking for some Java frameworks but they consume much memory per connection. So I'm looking for other alternatives too. Are there any good frameworks that are able to handle more than 10.000 concurrent users with limited memory resources?

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• How to sort TBB concurrent_vector or concurrent_queue?

  - by Jackie

  Now I have a solver in that I need to keep a set of self-defined data type objects in a concurrent_vector or queue. It has to be concurrent because the objects come from different threads.With this concurrent container, I hope to sort these objects, eliminate duplicates and send them back when other threads need them. However, I know TBB offers concurrent_vector and concurrent_queue which can be read and written concurrently from different threads. But how to sort the objects inside a container? Does everyone know how to do that? Thanks.

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• C#: System.Collections.Concurrent.ConcurrentQueue vs. Queue

  - by James Michael Hare

  I love new toys, so of course when .NET 4.0 came out I felt like the proverbial kid in the candy store!  Now, some people get all excited about the IDE and it’s new features or about changes to WPF and Silver Light and yes, those are all very fine and grand.  But me, I get all excited about things that tend to affect my life on the backside of development.  That’s why when I heard there were going to be concurrent container implementations in the latest version of .NET I was salivating like Pavlov’s dog at the dinner bell. They seem so simple, really, that one could easily overlook them.  Essentially they are implementations of containers (many that mirror the generic collections, others are new) that have either been optimized with very efficient, limited, or no locking but are still completely thread safe -- and I just had to see what kind of an improvement that would translate into. Since part of my job as a solutions architect here where I work is to help design, develop, and maintain the systems that process tons of requests each second, the thought of extremely efficient thread-safe containers was extremely appealing.  Of course, they also rolled out a whole parallel development framework which I won’t get into in this post but will cover bits and pieces of as time goes by. This time, I was mainly curious as to how well these new concurrent containers would perform compared to areas in our code where we manually synchronize them using lock or some other mechanism.  So I set about to run a processing test with a series of producers and consumers that would be either processing a traditional System.Collections.Generic.Queue or a System.Collection.Concurrent.ConcurrentQueue. Now, I wanted to keep the code as common as possible to make sure that the only variance was the container, so I created a test Producer and a test Consumer.  The test Producer takes an Action<string> delegate which is responsible for taking a string and placing it on whichever queue we’re testing in a thread-safe manner: 1: internal class Producer 2: { 3: public int Iterations { get; set; } 4: public Action<string> ProduceDelegate { get; set; } 5: 6: public void Produce() 7: { 8: for (int i = 0; i < Iterations; i++) 9: { 10: ProduceDelegate(“Hello”); 11: } 12: } 13: } Then likewise, I created a consumer that took a Func<string> that would read from whichever queue we’re testing and return either the string if data exists or null if not.  Then, if the item doesn’t exist, it will do a 10 ms wait before testing again.  Once all the producers are done and join the main thread, a flag will be set in each of the consumers to tell them once the queue is empty they can shut down since no other data is coming: 1: internal class Consumer 2: { 3: public Func<string> ConsumeDelegate { get; set; } 4: public bool HaltWhenEmpty { get; set; } 5: 6: public void Consume() 7: { 8: bool processing = true; 9: 10: while (processing) 11: { 12: string result = ConsumeDelegate(); 13: 14: if(result == null) 15: { 16: if (HaltWhenEmpty) 17: { 18: processing = false; 19: } 20: else 21: { 22: Thread.Sleep(TimeSpan.FromMilliseconds(10)); 23: } 24: } 25: else 26: { 27: DoWork(); // do something non-trivial so consumers lag behind a bit 28: } 29: } 30: } 31: } Okay, now that we’ve done that, we can launch threads of varying numbers using lambdas for each different method of production/consumption.  First let's look at the lambdas for a typical System.Collections.Generics.Queue with locking: 1: // lambda for putting to typical Queue with locking... 2: var productionDelegate = s => 3: { 4: lock (_mutex) 5: { 6: _mutexQueue.Enqueue(s); 7: } 8: }; 9:  10: // and lambda for typical getting from Queue with locking... 11: var consumptionDelegate = () => 12: { 13: lock (_mutex) 14: { 15: if (_mutexQueue.Count > 0) 16: { 17: return _mutexQueue.Dequeue(); 18: } 19: } 20: return null; 21: }; Nothing new or interesting here.  Just typical locks on an internal object instance.  Now let's look at using a ConcurrentQueue from the System.Collections.Concurrent library: 1: // lambda for putting to a ConcurrentQueue, notice it needs no locking! 2: var productionDelegate = s => 3: { 4: _concurrentQueue.Enqueue(s); 5: }; 6:  7: // lambda for getting from a ConcurrentQueue, once again, no locking required. 8: var consumptionDelegate = () => 9: { 10: string s; 11: return _concurrentQueue.TryDequeue(out s) ? s : null; 12: }; So I pass each of these lambdas and the number of producer and consumers threads to launch and take a look at the timing results.  Basically I’m timing from the time all threads start and begin producing/consuming to the time that all threads rejoin.  I won't bore you with the test code, basically it just launches code that creates the producers and consumers and launches them in their own threads, then waits for them all to rejoin.  The following are the timings from the start of all threads to the Join() on all threads completing.  The producers create 10,000,000 items evenly between themselves and then when all producers are done they trigger the consumers to stop once the queue is empty. These are the results in milliseconds from the ordinary Queue with locking: 1: Consumers Producers 1 2 3 Time (ms) 2: ---------- ---------- ------ ------ ------ --------- 3: 1 1 4284 5153 4226 4554.33 4: 10 10 4044 3831 5010 4295.00 5: 100 100 5497 5378 5612 5495.67 6: 1000 1000 24234 25409 27160 25601.00 And the following are the results in milliseconds from the ConcurrentQueue with no locking necessary: 1: Consumers Producers 1 2 3 Time (ms) 2: ---------- ---------- ------ ------ ------ --------- 3: 1 1 3647 3643 3718 3669.33 4: 10 10 2311 2136 2142 2196.33 5: 100 100 2480 2416 2190 2362.00 6: 1000 1000 7289 6897 7061 7082.33 Note that even though obviously 2000 threads is quite extreme, the concurrent queue actually scales really well, whereas the traditional queue with simple locking scales much more poorly. I love the new concurrent collections, they look so much simpler without littering your code with the locking logic, and they perform much better.  All in all, a great new toy to add to your arsenal of multi-threaded processing!

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• Java Spotlight Episode 139: Mark Heckler and José Pereda on JES based Energy Monitoring @MkHeck @JPeredaDnr

  - by Roger Brinkley

  Interview with Mark Heckler and José Pereda on using JavaSE Embedded with the Java Embedded Suite on a RaspberryPI along with a JavaFX client to monitor an energy production system and their JavaOne Tutorial- Java Embedded EXTREME MASHUPS: Building self-powering sensor nets for the IoT Right-click or Control-click to download this MP3 file. You can also subscribe to the Java Spotlight Podcast Feed to get the latest podcast automatically. If you use iTunes you can open iTunes and subscribe with this link: Java Spotlight Podcast in iTunes. Show Notes News Java Virtual Developer Day Session Videos Available JavaFX Maven Plugin 2.0 Released JavaFX Scene Builder 1.1 build b28 FXForm 2 release 0.2.2 OpenJDK8/Zero cross compile build for Foundation model HSAIL-based GPU offload: the Quest for Java Performance Begins Progress on Moving to Gradle Java EE 7 Launch Keynote Replay Java EE 7 Technical Breakouts Replay Java EE 7 support in NetBeans 7.3.1 Java EE 7 support in Eclipse 4.3 Java Magazine - May/June Events Jul 16-19, Uberconf, Denver, USA Jul 22-24, JavaOne Shanghai, China Jul 29-31, JVM Language Summit, Santa Clara Sep 11-12, JavaZone, Oslo, Norway Sep 19-20, Strange Loop, St. Louis Sep 22-26 JavaOne San Francisco 2013, USA Feature Interview Mark Heckler is an Oracle Corporation Java/Middleware/Core Tech Engineer with development experience in numerous environments. He has worked for and with key players in the manufacturing, emerging markets, retail, medical, telecom, and financial industries to develop and deliver critical capabilities on time and on budget. Currently, he works primarily with large government customers using Java throughout the stack and across the enterprise. He also participates in open-source development at every opportunity, being a JFXtras project committer and developer of DialogFX, MonologFX, and various other projects. When Mark isn't working with Java, he enjoys writing about his experiences at the Java Jungle website (https://blogs.oracle.com/javajungle/) and on Twitter (@MkHeck). José Pereda is a Structural Engineer working in the School of Engineers in the University of Valladolid in Spain for more than 15 years, and his passion is related to applying programming to solve real problems. Being involved with Java since 1999, José shares his time between JavaFX and the Embedded world, developing commercial applications and open source projects (https://github.com/jperedadnr), and blogging (http://jperedadnr.blogspot.com.es/) or tweeting (@JPeredaDnr) of both. What’s Cool AquaFX 0.1 - Mac OS X skin for JavaFX by Claudine Zillmann DromblerFX adds a docking framework Part 2 of Gerrit’s taming the Nashorn for writing JavaFX apps in Javascript Tool from mihosoft called JSelect for quickly switching JDKs Apache Maven Javadoc Plugin 2.9.1 Released Proposal: Java Concurrency Stress tests (jcstress) Slide-free Code-driven session at SV JUG JavaOne approvals/rejects gone out

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• exclamation mark for sitemaps in webmastertools when resubmited

  - by Jayapal Chandran

  Hi, I have three sitemaps submitted to webmastertools. In that one has very few links and was accepted. It showed a green tick. The other two had around 150 links. They had been accepted in think yet webmastertools displays the exclamation mark. I think i saw this already but what confused was my hosting was blocking frequent bots recently by using a firewall and just now they added googles ip range in their witelist. and then my robots and sitemaps were read by webmastertools. But two sitemaps shows exclamation. I hope it is nothing to do with the above problem. What are all the reasons and where can i see the reason for that exclamation mark.? Here is the screen shot.

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