Execution Environments for Distributed Computing

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  • 1. EEDC 34330ExecutionEnvironments for Part 0.Distributed CourseComputingMaster in Computer Architecture,Networks and Systems - CANS Introduction
  • 2. ContentPart 0. Course Introduction 0.1. Welcome 0.2. Course Organization 0.3. Course Content and Motivation 0.4. Students presentation warm-up 0.5. Conferences and Journals in Computers Science. How its work? 2
  • 3. EEDC 34330ExecutionEnvironments for 0.1DistributedComputing WelcomeMaster in Computer Architecture,Networks and Systems - CANS
  • 4. Professor Background (Who am I?)§ Who am I? – Current Teaching Activity: • System Performance Evaluation (FIB) • Execution Environments for Distributed Computing (CANS) – Research interests : IT Resource Management • Cloud Computing, Green Computing, Big Data … – Research groups • Professor at High Performance Computing Group at DAC (UPC). • Manager of Autonomic Systems and eBusiness Platforms research group at BSC. – Other interests: • I enjoy talking about technology and mountain biking – For more details : www.JordiTorres.org 4
  • 5. Welcome And you? 5
  • 6. 6
  • 7. EEDC 34330ExecutionEnvironments for 0.2Distributed CourseComputingMaster in Computer Architecture, MotivationNetworks and Systems - CANS & Organization
  • 8. Syllabus Stuff (official course description)§ “Guia docente oficial” (Spanish) : http://docencia.ac.upc.edu/master//es/course.24.html§ 2006 OBJETIVOS/OBJECTIVES (“absolete”): El objetivo del curso es ofrecer una visión de los desarrollos y la investigación en los entornos de ejecución para sistemas paralelos y distribuidos. En el curso se hará especial énfasis en los entornos requeridos en las nuevas aplicaciones ebusiness y grid. Se estudiará la organización interna y la gestión que recursos requerida para garantizar funcionalidades y calidad de servicio. 8
  • 9. Syllabus Stuff (official course description)§ METODOLOGÍA: Esta asignatura es avanzada y los conceptos básicos se suponen ya conocidos en asignaturas anteriores y está enfocada principalmente a introducir al estudiante en los conceptos más avanzados. Con clases magistrales se introducirán los temas que se trabajarán sobre artículos recientes publicados en congresos o revistas especializadas y propuestas de proyectos en desarrollo. Los alumnos deberán realizar la lectura y discusión de estos artículos. Los alumos realizaran un trabajo personal y presentaran un tema de investigación relacionado con la asignatura. El estudiante tendrá que desarrollar su capacidad crítica para evaluar la adecuación de las soluciones presentadas o, en su caso, proponer posibles ideas. 9
  • 10. Syllabus Stuff (official course description)§ De las 150 horas de trabajo, la distribución será: – 60 horas (4 horas semana, 15 semanas) de clase presencial: se distribuirán en: • clase magistrales, • trabajos, • casos de estudio y debate de artículos de investigación • presentación de trabajos – 90 horas de trabajo no presencial: • lectura de artículos de investigación, • realización de trabajos, • preparación de las presentaciones • y estudio. 10
  • 11. Where to find the information§ Teacher contact : Office: Campus Nord, Block C6, office 217 Phone: +34 93 401 7223 Email: torres@ac.upc.edu§ Course Slides web site http://www.jorditorres.org/teaching/eedc-2011-execution- environments-for-distributed-computing/eedc2012-slides/§ Students EEDC web site http://www.jorditorres.org/news/§ Official web site for personal and confidential information “RACÓ” at http://www.fib.upc.edu 11
  • 12. Students EEDC web site 12
  • 13. EEDC as a network of contacts (LinkedIn) 13
  • 14. This course provides§ an overview of the wide scope of this area and introduces past and current research focusing on conceptual and practical aspects.§ The course also has the objective of introducing the student to research. In general the EEDC course is focused on developing skills rather than content.§ For this reason each year we focus the course on some of the dichotomies which come to mind when looking at the strategies available to deal with concrete problems in the wider EEDC space and in relation to some problem of the utmost relevance. 14
  • 15. Content§ paper readings assigned for some of the classes.§ We will have two main reading parts in the course, – one for general papers (and homework) and – one for more in depth research in the area (related with the research project).§ All students taking the course are required to complete a research project (or “state-of-the-field” review).§ Discussions will be led by one or more students and may include brief presentations.§ Moreover we will introduce the student to the research information resources.§ We expect also to have seminars by IT companies. 15
  • 16. This year’s special focus§ Current Execution Environment of Distributed Systems: Explosion of Cloud Computing, dominated by the boom of available information (Big Data) and all in a sustainable way (Green Computing). 16
  • 17. Syllabus Stuff§ “state-of-the-field” review All students taking the course are required to complete a research project (or “state-of-the-field” review). The project is intended to provide the student with an opportunity to gain experience with research in a topic related to the content of the course. Moreover we will introduce the student to the research information resources 17
  • 18. Tentative Grading Policy (*)§ Paper Readings/Presentations (and homework): 35% – Delivery: 20 % – Content: 10 % – Public presentation: 5%§ Research Project: 35% – Research survey content and writing 20% – Presentation of the workshop paper 10%§ Participation: 35% – Class/Seminars participation (in paper discussions) 10% – Class attendance: 25% (*) pending to know the final number of students enrolled. Default organization of course have to be changed 18
  • 19. GROUPS (*)§ Paper Reading/Presentation: 8 group x 3 members§ Research Project Group: 1 or 2 students (*) pending to know the final number of students enrolled. Default organization of course have to be changed 19
  • 20. EEDC 34330ExecutionEnvironments forDistributedComputing 0.3Master in Computer Architecture,Networks and Systems - CANS Course Content
  • 21. Today landscape§ Today’s applications: – Heterogeneous set of T10 T20 applications with different T30 T40 characteristics and service T50 T11 T21 goals: T31 T41 • Characteristics: Streaming T51 CPU, I/O, network, Workflow memory… intensive Hardware • Service goals: Transactional Response time, throughput, fault-tolerant, deadlines… Indexing Big Data 21
  • 22. Today landscape§ Types of applications – This set of applications includes: • Interactive web workload • Non-interactive workloads such document indexing or data-intensive jobs. • Scientific applications that range from a single thread intensive CPU consuming to multi-threading applications. •… – Current workloads: based on a heterogeneous set of applications that deliver critical services to their customers (SLA). 22
  • 23. Today landscape§ Type of applications – The SLA for different applications tend to be based on different characteristics: • Performance goals: – For interactive : response time or … – For non interactive : for example completion time. • Time scale of managing: – Non-interactive workloads typically require computation for an extended period of time. – Interactive workloads present a short duration for individual requests and require short control cycles. • Clients priority: e.g. Gold, Silver, Platinum, Standard. • … and others 23
  • 24. Example (commercial data centers)§ Current use: – Resource provisioning: maximum granularity is a node – Off peak periods: wasted computing power – Set of applications: time partition (if possible!) • Transactional on work hours • Batch on nights Example: Web workload§ Challenges: Workload intensity – Reduce waste of resources – Increase provisioning granularity – Management of mixed workloads – Service level guarantees – Better exploitation of resources – … Day 1 Day 2 Day 3 24
  • 25. Execution Environment§ To efficiently execute all these kinds of applications, a new execution environment is needed Streaming T10 T20 T30 T40 Grid T50 T11 T21 Big Data T41 T31 T51 Transactional Indexing 25
  • 26. How do these applications access resources?§ Solution: software layer abstracts the details in a heterogeneous distributed computing environment. Streaming T10 T20 T30 T40 Grid T50 T11 T21 Big Data T41 T31 T51 Transactional Indexing 26
  • 27. Execution Environment or Middleware? Middleware is a somewhat overloaded term!!!!!!§ For this course: – Generally speaking, middleware provides software services for application programs INCLUDING the basic operating system and networking services above the resources. USER Application Software services Operating System and Networking Services Resources 27
  • 28. Different layers§ Who is responsible for managing resources? Data Center Infrastructure … Web Services Aplication Server Applications Web server Java Virtual Machine System Operating System Virtualization layer … Hardware MIDDLEWARE 28
  • 29. EEDC Content (2012)§ Part 0: Introduction§ Part 1 : Distributed Computing Scenario§ Part 2: Current Trends in EEDC: Cloud Computing as a core part§ Part 3: Scientific EEDC§ Part 4: Energy Challenges in today EEDC: Green Computing§ Part 5: Big Data challenges in EEDC§ Part 6: Other challenges in today EEDC§ Part 7: EEDC Open Seminars§ Part 8: Fourth EEDC Workshop 29
  • 30. EEDC Workshop series 30
  • 31. EEDC open seminars§ A series of seminars with the view of IT industry and IT entrepreneurs. (Invited speakers)§ Aimed to stimulate intellectual conversations about real cases related with the course§ as well as to allow an opportunity to learn more about each “case study” presented through Q&A session.§ The seminars are open to FIB community 31
  • 32. EEDC open seminars§ Tentative 2012 EEDC Open Seminar case study areas: – “Infrastructure as a Service” – “Software as a Service” – “Green Computing” – “Open Data” – “Big Data” 32
  • 33. Tentative schedule 33
  • 34. EEDC 34330ExecutionEnvironments forDistributed 0.4ComputingMaster in Computer Architecture, StudentsNetworks and Systems - CANS Presentation Warm-up
  • 35. Procedure for delivering homework1. Read the assigned documentation/paper – Each of you have to read the document/paper – Meet with your team to discuss and do the homework2. Build the presentation – Consider the specifications for the corresponding homework – Be sure to follow the EEDC template – Be sure to include your names on the first slide3. Upload the presentation on to slideshare (or similar) – Create your account if necessary at http://www.slideshare.net4. Link your presentation to EEDC students website – You will have an account at www.JordiTorres.org/news – Find the correct post and edit it to link the presentation5. Check that everything is ok before the deadline 35
  • 36. Procedure for presenting homework1. Prepare the presentation and bring it to the class with your «pendrive» or similar – Optionally you could use the uploaded presentation2. Only two (*) groups will present the paper/homework – The groups will be chosen at random3. There will be a Q&A session after presentations – This will be considered as class participation and count towards final marks4. After the presentation listeners will choose the best presentation (*)(*) In some cases only 1 group will present 36
  • 37. First homework: Wark-up§ Project: – prepare a presentation about an easy topic: «Distributed Systems»§ Characteristics: – A 15 minute presentation (aprox.).§ Source of information? – For this homework you could use any information on the Internet (e.g. Wikipedia) – Where can we find more? (next day!)§ Delivery deadline: – Thursday 23th February at 11:00am§ Presentation: – Thursday 23th February at 12:00am (class room) 37