This presentation is about advanced multithreading and concurrency in Java. I have tried my best to explain the concepts with code. Feel free to reach me if you have any questions or concerns.
Advanced Introduction to Java Multi-Threading - Full (chok)choksheak
Designed for the beginning Java developer to grasp advanced Java multi-threading concepts quickly. Talks mainly about the Java Memory Model and the Concurrent Utilities. This presentation is Java-specific and we intentionally omit general non-Java-specific details, such as hardware architecture, OS, native threads, algorithms, and general software design principles etc.
Java Multi Threading Concept
By N.V.Raja Sekhar Reddy
www.technolamp.co.in
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This presentation is about advanced multithreading and concurrency in Java. I have tried my best to explain the concepts with code. Feel free to reach me if you have any questions or concerns.
Advanced Introduction to Java Multi-Threading - Full (chok)choksheak
Designed for the beginning Java developer to grasp advanced Java multi-threading concepts quickly. Talks mainly about the Java Memory Model and the Concurrent Utilities. This presentation is Java-specific and we intentionally omit general non-Java-specific details, such as hardware architecture, OS, native threads, algorithms, and general software design principles etc.
Java Multi Threading Concept
By N.V.Raja Sekhar Reddy
www.technolamp.co.in
Want more...
Like us @ https://www.facebook.com/Technolamp.co.in
subscribe videos @ http://www.youtube.com/user/nvrajasekhar
Multithreading is the ability of a program or an
operating system process to manage its use by
more than one user at a time and to even manage
multiple requests by the same user without
having to have multiple copies of the
programming running in the computer.
Multithreading in java is a process of executing multiple threads simultaneously. The thread is basically a lightweight sub-process, the smallest unit of processing. Multiprocessing and multithreading, both are used to achieve multitasking.
Multithreading is the ability of a program or an
operating system process to manage its use by
more than one user at a time and to even manage
multiple requests by the same user without
having to have multiple copies of the
programming running in the computer.
Multithreading in java is a process of executing multiple threads simultaneously. The thread is basically a lightweight sub-process, the smallest unit of processing. Multiprocessing and multithreading, both are used to achieve multitasking.
Azul Virtual Machine Engineer Douglas Hawkins describes how decisions made by the JVM affect how your code is compiled and run. Learn how this affects application performance and what steps you can take to optimize how the JVM acts on your code.
JVM Mechanics: When Does the JVM JIT & Deoptimize?Doug Hawkins
HotSpot promises to do the "right" thing for us by identifying our hot code and compiling "just-in-time", but how does HotSpot make those decisions?
This presentation aims to detail how HotSpot makes those decisions and how it corrects its mistakes through a series of demos that you run yourself.
While most bugs reveal their cause within their stack trace, Java’s OutOfMemoryError is less talkative and therefore regarded as being difficult to debug by a majority of developers. With the right techniques and tools, memory leaks in Java programs can however be tackled like any other programming error. This talks discusses how a JVM stores data, categorizes different types of memory leaks that can occur in a Java program and presents techniques for fixing such errors. Furthermore, we will have a closer look at lambda expressions and their considerable potential of introducing memory leaks when they are used incautiously.
How to build applications that support various types of disabilities, using the tools available for iOS. Talks by Marco Chareyron and Mouhcine El Amine during the Appsterdam Milan #TalkLab
Una introduzione alla tecnologia iBeacon, con una applicazione demo funzionante su GitHub.
Presentazione di Mouhcine El Amine e Marco Chareyron tenuta durante l'Appsterdam TalkLab del Gennaio 2014.
Il talk di Diego Trinciarelli per il TalkLab di Ottobre 2013.
Una introduzione al mondo del fitness per potersi allenare in modo corretto e sicuro, migliorare la propria alimentazione, senza spendere una barca di soldi.
Qual è il processo ideale di design, almeno agli occhi due UX designer? Come si può andare incontro a una progettazione più User Centered?
5 Takeaways derivanti dall'esperienza di Luana Donetti (@ldonetti) e Marco Buonvino (@marcobuonvino) all'interno di web agency e agenzie di comunicazione.
http://www.slideshare.net/bastianlion/follow-the-ux-path-appsterdam
Talk presentato da Alessia Gallian e Lucia Di Pippa durante il TalkLab di Settembre. Il tema è il dialogo tra chi si occupa di content e chi si occupa di sviluppo in una agenzia.
Il talk di Alessio Roberto sul pattern dei blocchi in iOS. Breve introduzione teorica ed esempi tratti dal framework di Veespo che Alessio sta sviluppando.
Il video del talk lo trovate sulla nostra pagina YouTube: http://youtu.be/jQkQzb5rDK4
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
2. Major release versions
JDK 1.0 (January 21, 1996)
JDK 1.1 (February 19, 1997)
J2SE 1.2 (December 8, 1998)
J2SE 1.3 (May 8, 2000)
J2SE 1.4 (February 6, 2002) # api NIO
J2SE 5.0 (September 30, 2004) # package java.util.concurrent
Java SE 6 (December 11, 2006)
Java SE 7 (July 28, 2011) # api NIO2
Java SE 8 (is expected in September, 2013)
Java SE 9 (2015) # automatic parallelization using OpenCL
3. WHAT'S …. THREAD??!
Un thread, o thread di esecuzione, in informatica, è una suddivisione
di un processo in due o più filoni o sottoprocessi, che vengono
eseguiti concorrentemente da un sistema di elaborazione
monoprocessore (multithreading) o multiprocessore.
Fonte: it.wikipedia.org
5. Scriviamolo in Java...
class ThreadMain {
public static void main(String[] args) {
MyBusinessObject mbs = new MyBusinessObject();
Worker w1 = new Worker(mbs); w1.start();
Worker w2 = new Worker(mbs); w2.start();
}
class Worker extends Thread { run() { … } }
}
class MyBusinessObject {
Boolean value = false;
AtomicBoolean atomicvalue = new AtomicBoolean(false);
Function1() { …. } //funzione uno che accede al campo della classe
Function2() { …. } //funzione due che accede al campo della classe
}
6. Function / Method
methodname( ...args... ) {
– Istruzione1
– Istruzione2
– DescriptiveStatistics de = new DescriptiveStatistics(doublearryay);
– max = de.getMax(); // long computation
– min = de.getMin();// long computation
– avg = de.getMean(); // long computation
– Istruzione7
– Istruzione8
– Ecc...
}
7. La classe MyBusinessObject è safeness
?
class MyBusinessObject {
Boolean lock = false;
AtomicBoolean atomicvalue = new AtomicBoolean(false); //java.util.concurrent
// other references...
Function1() {
If(!lock) {
//do something …. am I really 'safe' ?
}
}
Function2() {
//Semantic: AtomicBoolean.compareAndSet(boolean expect, boolean update)
if(atomicValue.compareAndSet(false,true)) {
// I'm safe!!
}
}
}
8. TCP Socket in Java <1.4: Server
public class Server { //Main THREAD
private ExecutorService executors = Executors.newFixedThreadPool(10);
public static void main(String... args) throws ... {
new Server().launch(Integer.parseInt(args[0]));
}
public void launch(int port) throws ... {
ServerSocket sso = new ServerSocket(port);
while (true) {
Socket s = sso.accept(); // bloccante
Worker w = new Worker(s); // 1.4 style
w.start();
executors.execute(new Worker(s)); // ExecutorService in 1.5
}
}
}
9. TCP Socket in Java <1.4: Worker
private class Worker extends Thread {
private LineNumberReader in = null;
...
Worker(Socket s) throws ... {
setName(“Pippo Thread ” + new Random().nextInt());
in = new LineNumberReader(new InputStreamReader(...));
out = ...
}
public void run() {
//esecuzione del codice da parte del thread
}
}
10. TCP Socket in Java <1.4: run method
public void run() {
while (true) {
try {
// blocking read of a request (line)
String request = in.readLine();
// processing the request
...
String response = ...
// return the response
out.write(resonse);
out.flush();
} catch (Exception e ) { ….. }
}
out.close();
in.close();
}
11. TCP Socket in Java >= 1.4
Reactor Pattern
...
while (TRUE) { //Main THREAD
// blocking call, to wait for new readiness events
int eventCount = selector.select();
// get the events
Iterator<SelectionKey> it = selector.selectedKeys().iterator();
while (it.hasNext()) {
SelectionKey key = it.next();
it.remove();
if (key.isValid() && key.isReadable()) { // readable event?
eventHandler.onReadableEvent(key.channel());
}
if (key.isValid() && key.isWritable()) { // writable event?
key.interestOps(SelectionKey.OP_READ); // reset to read only
eventHandler.onWriteableEvent(key.channel());
}
...
}
...
}
12. TCP Socket in Java >= 1.7
NIO2: The asynchronous channel APIs
● AsynchronousSocketChannel
● AsynchronousServerSocketChannel
● AsynchronousFileChannel
● AsynchronousDatagramChannel
Future<AsynchronousSocketChannel> acceptFuture = server.accept();
OR
CompletionHandler<Integer, Object> handler = new CompletionHandler<Integer, Object>() {
@Override
public void completed(Integer result, Object attachment) {
System.out.println(attach+ " completed with " + result + " bytes written");
}
@Override
public void failed(Throwable e, Object attachment) {
System.err.println(attachment + " failed with:");
e.printStackTrace();
}
};
13. REFERENCES
Architecture of a Highly Scalable NIO-Based Server
http://today.java.net/pub/a/today/2007/02/13/architecture-of-
highly-scalable-nio-server.html
An NIO.2 primer, Part 1: The asynchronous channel APIs
http://www.ibm.com/developerworks/library/j-nio2-1/