Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Pr...OPNFV
Jose Lausuch, Ericsson, Nikolas Hermanns, Ericsson
How can we make sure that new code in OPNFV does not break or stop CI?
How can we ensure quick feedback for each patch-set?
With the new way to snapshot a virtual deployment it is now possible to get virtual clouds up and running in about 2 min. In addition, through low amount of disk/cpu consumption and isolation of the networking it is possible to have a very high number of virtual deployments co-existing in the same bare-metal server.
Running Neutron at Scale - Gal Sagie & Eran Gampel - OpenStack Day Israel 2016Cloud Native Day Tel Aviv
For the past 2 years we’ve been working on running OpenStack in ever growing scales. In Juno we started Dragonflow, a Neutron integrated distributed SDN project with an ambitious goal – scaling to 10,000 physical servers in a single zone. Although we’re not there yet, we’re definitely on the right track.
Dragonflow employs the following principles
• Pluggable NoSQL DB – to adapt for different size deployments and SLAs
• Distribution of Policies rather than flows – moving the “brain” to the edges
• Distributed architecture – enforcing network policies in the compute nodes
• Hybrid flow pipeline – Utilizing both proactive and reactive flows to easily allow built-in distributed smart apps (e.g. distributed DHCP)
Taking Cloud to Extremes: Scaled-down, Highly Available, and Mission-critical...Altoros
We consider uses cases typical for some advanced applications of Cloud architectures incorporating Cloud Foundry PaaS. High-Availability, Fault-Tolerance, scaling down to smaller form-factors while operating in mission-critical environments - all these requirements put constraints on architecture, configuration, and testing. Cloud Foundry's operation depends on the number of external and internal dependencies. Points of failure may exist on different levels stretching from hardware / IaaS foundation to microservices.
Seastar at Linux Foundation Collaboration SummitDon Marti
We have developed a new framework, Seastar, for high-throughput server applications, along with a key-value store capable of millions of transactions per second. Seastar, which runs on OSv and Linux, is completely asynchronous and based on shared-nothing data structures that eliminate costly locking between CPUs. SeaStar is event-driven and supports writing non-blocking, asynchronous server code in a straightforward manner that facilitates debugging and reasoning about performance.
Hyperconverged Cloud, Not just a toy anymore - Andrew Hatfield, Red HatOpenStack
Audience Level
Intermediate
Synopsis
Hypercoverged Compute, Network and Storage is ready for production workloads – where it makes sense.
Whether you’re a telecommunications carrier, service provider or enterprise; implementing Network Function Virtualisation (NFV), focusing on specific known workloads or simply a dev / test cloud – deploying a hypercoverged OpenStack cloud makes a lot of sense.
Come along and discover which workloads fit a hyperconverged architecture, see examples and look into the very near future and learn how OpenStack is truly ready to serve your every need.
Speaker Bio
Andrew has over 20 years experience in the IT industry across APAC, specialising in Databases, Directory Systems, Groupware, Virtualisation and Storage for Enterprise and Government organisations. When not helping customers slash costs and increase agility by moving to the software-defined future, he’s enjoying the subtle tones of Islay Whisky and shredding pow pow on the world’s best snowboard resorts.
Supercomputing by API: Connecting Modern Web Apps to HPCOpenStack
Audience Level
Intermediate
Synopsis
The traditional user experience for High Performance Computing (HPC) centers around the command line, and the intricacies of the underlying hardware. At the same time, scientific software is moving towards the cloud, leveraging modern web-based frameworks, allowing rapid iteration, and a renewed focus on portability and reproducibility. This software still has need for the huge scale and specialist capabilities of HPC, but leveraging these resources is hampered by variation in implementation between facilities. Differences in software stack, scheduling systems and authentication all get in the way of developers who would rather focus on the research problem at hand. This presentation reviews efforts to overcome these barriers. We will cover container technologies, frameworks for programmatic HPC access, and RESTful APIs that can deliver this as a hosted solution.
Speaker Bio
Dr. David Perry is Compute Integration Specialist at The University of Melbourne, working to increase research productivity using cloud and HPC. David chairs Australia’s first community-owned wind farm, Hepburn Wind, and is co-founder/CTO of BoomPower, delivering simpler solar and battery purchasing decisions for consumers and NGOs.
AWS has different pricing models to match your needs. One example is the different instance types available such as On-Demand, Reserved and Spot Instances. Customers can develop cost-saving strategies based upon their usage patterns, models and growth expectations. In some cases, a set of larger instances can be cheaper than multiple small instances. Learn how to size your AWS applications to maximize your use and minimize your spend. Companies such as Pinterest take very active roles to constantly reduce their spend; learn how they do it and develop your own cost-saving approaches.
Testing, CI Gating & Community Fast Feedback: The Challenge of Integration Pr...OPNFV
Jose Lausuch, Ericsson, Nikolas Hermanns, Ericsson
How can we make sure that new code in OPNFV does not break or stop CI?
How can we ensure quick feedback for each patch-set?
With the new way to snapshot a virtual deployment it is now possible to get virtual clouds up and running in about 2 min. In addition, through low amount of disk/cpu consumption and isolation of the networking it is possible to have a very high number of virtual deployments co-existing in the same bare-metal server.
Running Neutron at Scale - Gal Sagie & Eran Gampel - OpenStack Day Israel 2016Cloud Native Day Tel Aviv
For the past 2 years we’ve been working on running OpenStack in ever growing scales. In Juno we started Dragonflow, a Neutron integrated distributed SDN project with an ambitious goal – scaling to 10,000 physical servers in a single zone. Although we’re not there yet, we’re definitely on the right track.
Dragonflow employs the following principles
• Pluggable NoSQL DB – to adapt for different size deployments and SLAs
• Distribution of Policies rather than flows – moving the “brain” to the edges
• Distributed architecture – enforcing network policies in the compute nodes
• Hybrid flow pipeline – Utilizing both proactive and reactive flows to easily allow built-in distributed smart apps (e.g. distributed DHCP)
Taking Cloud to Extremes: Scaled-down, Highly Available, and Mission-critical...Altoros
We consider uses cases typical for some advanced applications of Cloud architectures incorporating Cloud Foundry PaaS. High-Availability, Fault-Tolerance, scaling down to smaller form-factors while operating in mission-critical environments - all these requirements put constraints on architecture, configuration, and testing. Cloud Foundry's operation depends on the number of external and internal dependencies. Points of failure may exist on different levels stretching from hardware / IaaS foundation to microservices.
Seastar at Linux Foundation Collaboration SummitDon Marti
We have developed a new framework, Seastar, for high-throughput server applications, along with a key-value store capable of millions of transactions per second. Seastar, which runs on OSv and Linux, is completely asynchronous and based on shared-nothing data structures that eliminate costly locking between CPUs. SeaStar is event-driven and supports writing non-blocking, asynchronous server code in a straightforward manner that facilitates debugging and reasoning about performance.
Hyperconverged Cloud, Not just a toy anymore - Andrew Hatfield, Red HatOpenStack
Audience Level
Intermediate
Synopsis
Hypercoverged Compute, Network and Storage is ready for production workloads – where it makes sense.
Whether you’re a telecommunications carrier, service provider or enterprise; implementing Network Function Virtualisation (NFV), focusing on specific known workloads or simply a dev / test cloud – deploying a hypercoverged OpenStack cloud makes a lot of sense.
Come along and discover which workloads fit a hyperconverged architecture, see examples and look into the very near future and learn how OpenStack is truly ready to serve your every need.
Speaker Bio
Andrew has over 20 years experience in the IT industry across APAC, specialising in Databases, Directory Systems, Groupware, Virtualisation and Storage for Enterprise and Government organisations. When not helping customers slash costs and increase agility by moving to the software-defined future, he’s enjoying the subtle tones of Islay Whisky and shredding pow pow on the world’s best snowboard resorts.
Supercomputing by API: Connecting Modern Web Apps to HPCOpenStack
Audience Level
Intermediate
Synopsis
The traditional user experience for High Performance Computing (HPC) centers around the command line, and the intricacies of the underlying hardware. At the same time, scientific software is moving towards the cloud, leveraging modern web-based frameworks, allowing rapid iteration, and a renewed focus on portability and reproducibility. This software still has need for the huge scale and specialist capabilities of HPC, but leveraging these resources is hampered by variation in implementation between facilities. Differences in software stack, scheduling systems and authentication all get in the way of developers who would rather focus on the research problem at hand. This presentation reviews efforts to overcome these barriers. We will cover container technologies, frameworks for programmatic HPC access, and RESTful APIs that can deliver this as a hosted solution.
Speaker Bio
Dr. David Perry is Compute Integration Specialist at The University of Melbourne, working to increase research productivity using cloud and HPC. David chairs Australia’s first community-owned wind farm, Hepburn Wind, and is co-founder/CTO of BoomPower, delivering simpler solar and battery purchasing decisions for consumers and NGOs.
AWS has different pricing models to match your needs. One example is the different instance types available such as On-Demand, Reserved and Spot Instances. Customers can develop cost-saving strategies based upon their usage patterns, models and growth expectations. In some cases, a set of larger instances can be cheaper than multiple small instances. Learn how to size your AWS applications to maximize your use and minimize your spend. Companies such as Pinterest take very active roles to constantly reduce their spend; learn how they do it and develop your own cost-saving approaches.
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
IEEE 2014 DOTNET CLOUD COMPUTING PROJECTS Automatic scaling of internet appli...IEEEMEMTECHSTUDENTPROJECTS
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09666155510, 09849539085 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.org
AWS re:Invent 2016: Hardware-Accelerating Graphics Desktop Workloads with Ama...Amazon Web Services
Amazon WorkSpaces is a desktop computing service that runs in the cloud, and now offers GPU configurations to support design and engineering applications and three-dimensional modeling. We show you how running these applications on Amazon WorkSpaces graphics bundles, in close proximity to data you already store on AWS, can help you process and visualize the results you need. We discuss the economics of running Amazon WorkSpaces graphics bundles, and demonstrate the experience of running a graphics-intensive application on a GPU-enabled Amazon WorkSpace. We also invite Autodesk (or TRC or ESRi) to discuss how they are using Amazon WorkSpaces graphics bundles in their business.
High Performance Computing (HPC) and Engineering Simulations in the CloudThe UberCloud
UberCloud Customer Workshop for engineers and scientist and their software providers, discussing cloud challenges and their solution, based on novel UberCloud software container technology which allows access and use of cloud resources and engineering applications and data, on demand, at your fingertips.
info.theubercloud.com/case-studies-and-resources
High Performance Computing (HPC) and Engineering Simulations in the CloudWolfgang Gentzsch
UberCloud Customer Workshop for engineers and scientist and their software providers, discussing cloud challenges and their solution, based on novel UberCloud software container technology which allows access and use of cloud resources and engineering applications and data, on demand, at your fingertips.
Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand. It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources (e.g., computer networks, servers, storage, applications and services),
Deep learning is an implementation of machine learning that uses neural networks to solve difficult and complex problems, such as computer vision, natural language processing, and recommendations. Due to the availability of deep learning libraries and frameworks, developers have the ability to enhance the capabilities of their applications and projects. In this workshop, you learn how to build and deploy a powerful deep learning framework called MXNet on containers. The portability and resource management benefit of containers means developers can focus less on infrastructure and more on building. The labs start by demonstrating the automation capabilities of AWS CloudFormation to stand up core infrastructure; as an added bonus, you use Spot Fleet to leverage the cost benefits of using Spot Instances, especially for developer environments. Then, you walk through creating an MXNet container in Docker and deploying it with Amazon ECS. Finally, you walk through an image classification demo of MXNet to validate that everything is working as expected. Note: This workshop focuses on containerizing MXNet. The features of MXNet and capabilities of deep learning in general are vast, and there are recorded sessions from re:Invent that dive deeper on these topics. All you need to participate is a laptop and AWS account. Pizza will be provided.
Introduction to requirement of microservicesAvik Das
We are talking about microservices. It is a pattern to resolve the complexity of the system those need to process a high amount of data within a short period.
Financial lose may occur on implementation of this pattern for an application of limited complexity in the initial phase. Initial phases have a learning curve to understand the relation and behavior of domain entities.
Small and medium companies lean this during development. Large companies can allocate additional times for documentation and correction on design phases for a reasonable long period. So, sometimes it is good to start with a monolithic architecture and grow with the achievement of the company then migrate to microservices.
스마트 엔지니어링: 제조사를 위한 품질 예측 시뮬레이션 및 인공지능 모델 적용 사례 소개 – 권신중 AWS 솔루션즈 아키텍트, 천준홍 두산...Amazon Web Services Korea
제조 고객사의 품질 개선 활동이나 시뮬레이션을 자원의 제약 없이 보다 신속하고 효율적으로 개선할 수 있는 AWS의 서비스와 참조 아키텍처를 소개 드립니다. 탄력적이고 확장 가능한 클라우드 인프라를 활용하여 품질 예측 시뮬레이션을 수행한 두산중공업의 사례와 한국타이어앤테크놀로지가 타이어 성능을 결정하는 ‘컴파운드’라는 고무 물질 관련 축적 데이터를 AWS와 함께 쉽고 빠르게 분석, 활용하여 성능과 안정성이 강화된 타이어를 개발해나가는 사례를 직접 전해 드립니다.
OS for AI: Elastic Microservices & the Next Gen of MLNordic APIs
AI has been a hot topic lately, with advances being made constantly in what is possible, there has not been as much discussion of the infrastructure and scaling challenges that come with it. How do you support dozens of different languages and frameworks, and make them interoperate invisibly? How do you scale to run abstract code from thousands of different developers, simultaneously and elastically, while maintaining less than 15ms of overhead?
At Algorithmia, we’ve built, deployed, and scaled thousands of algorithms and machine learning models, using every kind of framework (from scikit-learn to tensorflow). We’ve seen many of the challenges faced in this area, and in this talk I’ll share some insights into the problems you’re likely to face, and how to approach solving them.
In brief, we’ll examine the need for, and implementations of, a complete “Operating System for AI” – a common interface for different algorithms to be used and combined, and a general architecture for serverless machine learning which is discoverable, versioned, scalable and sharable.
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!
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
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.
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.
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/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
3. 100 Google searches = 30Wh
How much energy do you use when you type in a Google search or watch a
YouTube video?
Google said that
100 searches are equal to a 60-watt light bulb burning for 28 minutes.
"Specifically, we currently use about 0.0003 kWh of energy to answer the
average search query," Google said. "This translates into roughly 0.2g of
carbon dioxide."
2011 PC Magazine
60W
28min
x 100 =
We ICT user should care about energy consumption of the service that we use.
5. Eco Application Framework
Eco Programming
Eco Platform
Software
x
efficiency =
work served
by program
Energy
consumption
Measurement of
Runtime Efficiency
Hardware
(Application Framework)
(CPU, …, Shipho)
Programmer
PHP
engine
6. Eco Programming
Only using eco platform
is not enough
eco platform + good program = efficient
Eco car
Only using eco car
is not enough
eco car + bad driving = wasting energy
eco car + eco driving = efficient
eco platform + bad program = not efficient
Programming Convention
Driving Manner
Eco
Platform
Eco
Platform
Eco
Platform
7. Eco Platform
OS
Library
Language
Server Cluster
CPUs
print “Hello World”
programmer
Framework
Current framework and
language is designed
only for programmer
Eco Platform is designed for the
earth and programmer.
= flexible, scalable, and efficient
across the entire stack
and easy to maintain
PHP, Ruby, Python,
Java, Javascript, C#, …,
Django, RoR, …,
OpenMPI, …
programmer
language Application
framework
H/W
(CPU)
library
e.g.
- eco PHP platform
- eco Ruby platform
Application
- Web Application
- High Performance Computing (CFD, bio, …)
8. Distributed Computing Platform for Cluster
……
App
App
App
App
App
App
App App AppApp App AppApp
App
IaaS/Hardware Distributed Platform
OS
VM distributed application platform
server server
Distributed Platform consists of
- distributed execute engine: load management and execution fault tolerance
- distributed storage: fault tolerance for persistent data
- distributed memory: fault tolerance for runtime data (temporary data)
- easy to maintain
Flavor
- Web: small and frequent application (affinity and cache consideration)
- HPC: big and long life application (runtime robust, <-homomorphic coding)
For cluster (many servers), high efficient and easy-to-use platform is needed.
9. Astimegoon
-Complex
-Heavy
-Expensive
Web Application Framework for Cluster
HTTP + Cookie + CGI
HTTP + Application Server + Session
HTTP + Heavy Application Server + Heavy Object Session
Load Balancer
Heavy Load Balancer
memchache
Web App Framework History
- simple server framework for cluster
- minimum session, minimum server persistence
- reconsideration of cookie and client (instead of session & load balancer model)
- not only request/response model but also publish/subscribe model or …
Reconsideration of Web App Framework for efficiency
e.g.
HTTP + Cookie + CGI/wsgi/rack/… or PHP
(no session or minimum session framework)
Light Load Balance
(low cost and loose relation of
user & server, DNS RR, SDN, …)
+
+ +
RDB+
RDB
NoSQL+ +cache+
Rails, Django, …
NoSQL
time
10. Eco PHP Platform
•Eco PHP language= subset of PHP
(optimized for Compiler and CPU like http://asmjs.org/ in JS world)
•Eco programming convention and Eco Programmer
•Eco library
•Eco language engine
•HipHop compiler
•HipHop machine (VM, Processor, SoC)
•Eco framework for cluster
•Application framework with distributed computing
technology
•Disaggregated Rack
11. Eco Programming Culture
new programming culture
Eco programming is more electric-power-efficient
programming. Eco language, eco platform, eco
programming convention, and eco programmer makes
the world better.
eco PHP
is cool!
Like Eco Wordpress
12. Goal
Create new programming culture
• Build eco application framework (eco PHP and middleware)
• Foster eco programmer (eco programming conventions)
Key technology
• Building eco platform to maximize runtime efficiency on OCP
physical system
• Measurement of runtime efficiency
14. Measuring efficiency
Hacking Conventional Computing Infrastructure
We started a project at Facebook almost two years ago with a
pretty big goal: to build one of the most efficient computing
infrastructures at the lowest possible cost. We decided to honor
our hacker roots and challenge convention by custom designing
and building our software, servers and data centers from the
ground up – and then share these technologies as they evolve.
Measure the runtime efficiency
15. Runtime energy efficiency
calls of Function A
Energy
consumption of
CPU (Wh)
user operations of Application A
Energy
consumption of
server (Wh)
Work served
Energy
consumption
e.g.
17. energy measurement scope
work granularity
CPU CPU
+ memory
CPU
+ memory + IO
… Server … Servers …
Code snippet
Function
Application
work served
energy consumption
Choice of numerator and denominator
Work granularity
•Code snippet: e.g. for(){…}, …
•Function: e.g. regex, image
processing, …
•Application: e.g. wordpress
•Service: facebook
Energy consumption
measurement scope
•CPU
•CPU + memory
…
•Server
…
•+ Network + Client
18. Type of measurement application / server
work load eco Wordpress 201x
Load scenario A
- user behavior A
- 1000 user
- 10 min
energy measurement scope Server (OCP1.0 H/W) x 1
Example 1: Application/Server
Application (wordpress)
A Server
Energy
consumption
Work(Load)
Eco wordpress
2014
Eco wordpress
2015
Eco wordpress
2016
Year
Test pattern (work load) is contributed by facebook/linaro results?
19. Example2: CFD Benchmark/A Disaggregated Rack
Fluid Calculation (CFD Benchmark)
A Disaggregated Rack for HPC
20. Relations with other OCP Project
• HipHop Project (PHP Compiler, PHP VM)
• Processor or SoC Project? (Intel, AMD, ARM, …)
• Disaggregated Rack
• Japan chapter: “eco Ruby” sub project