Mạng máy tính - Grid computing

Grid scalability Resource management mechanisms/models  Large number of heterogeneous resources  Grid infrastructure and Grid application evaluations How to benchmark Grid systems and applications  Trust and security How to trust the environment How to protect sensitive data

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Grid Computing Lectured by: Dr. Pham Tran Vu Email: ptvu@cse.hcmut.edu.vn Faculty of Computer Science and Engineering HCMC University of Technology 2 Course Objectives  Grid computing concepts  Roles of Grid computing  Grid architecture  Grid related technologies  Grid programming models  Developing Grid applications Faculty of Computer Science and Engineering HCMC University of Technology 3 Assessment  Exercises: 30%  Seminar: 20%  Final exam: 50% Faculty of Computer Science and Engineering HCMC University of Technology 4 References  Books  I. Foster and C. Kesselman, The Grid: Blueprint for a New Computing Infrastructure. Morgab Kaufmann Publishers, 1999.  Maozhen Li, Mark Baker, The Grid Core Technologies, Wiley, 2005.  Fran Berman, Anthony J. G. Hey and Geoffrey C. Fox, Grid computing: Making the Global Infrastructure a Reality. John Wiley & Sons Ltd, 2003.  Luis Ferrelra et al. Grid Services Programming and Application Enablement. IBM Redbooks, 2004.  Mark Endrei et al. Patterns: Service Oriented Architecture and Web Services. IBM Redbooks, 2004.  Web links:  Globus project:  Global Grid Forum:  Course resources: Introduction to Grid Computing Faculty of Computer Science and Engineering HCMC University of Technology 6 Let’s Imagine CERN (founded 1954) = “Conseil Européen pour la Recherche Nucléaire” “European Organisation for Nuclear Reseach” 27 km circumferenc tun el Large Hadron Collider Concorde (15 Km) Balloon (30 Km) CD stack with 1 year LHC data! (~ 20 Km) Mt. Blanc (4.8 Km) 50 CD-ROM = 35 GB 6 c m Faculty of Computer Science and Engineering HCMC University of Technology 7 A Bit of History  I.Foster and C.Kesselman come from the parallel computing field Parallelism  1970-80 : The pioneers  Vectorial computers (Cray 1, Cray 2,..)  1980-90 : The exuberance  Massively Parallel Computers (CrayT3D/T3E, Connection Machine,)  1990-2000 : The profit  Cluster (Beowulf, ASCII Red,..)  2000 ->? The Globalization  GRID  Global Computing Faculty of Computer Science and Engineering HCMC University of Technology 8 Definitions  What is a Grid?  Analogous to grid in electrical power grids (Foster & Kesselman 1999, Chetty & Buyya 2002)  “Hardware and software infrastructures that provides dependable consistent, pervasive and inexpensive access to high-end computational capabilities” (Foster & Kesselman 1999)  “Flexible, secure, coordinated resource sharing and problem solving in dynamic, multi-institutional virtual organisations” (Foster et al. 2001) Faculty of Computer Science and Engineering HCMC University of Technology 9 and Definitions  “Grid is a type of parallel and distributed system that enables the sharing, selection, and aggregation of geographically distributed ‘autonomous’ resources dynamically at runtime depending on their availability, capability, performance, cost, and users’ quality-of-service requirements” (Buyya 2002)  The three point checklist:  (i) Coordinates resources that are not subject to a centralised control  (Ii) Uses standard, open, general purpose protocol and interfaces  (iii) Delivers nontrivial quality of service (Foster 2002) Faculty of Computer Science and Engineering HCMC University of Technology 10 My Keywords  “Distributed”  “Coordinated sharing”  “Resources”  “Large scale”  “Non-trivial”  “Big problem”  “Internet” Faculty of Computer Science and Engineering HCMC University of Technology 11 Grid Generations  1st generation - sharing high performance computing resources in distributed environment  2nd generation - middleware to address issues of scalability, heterogeneity and adaptability in distributed environments with the focus on large scale computational power and huge volumes of data  3rd generation - addresses the requirements for distributed collaboration in virtual environments; service oriented; automation; knowledge technology De Roure, Baker, Jennings & Shadbolt (2003) Faculty of Computer Science and Engineering HCMC University of Technology 12 Types of Grid  Usually one distinguishes three types of GRID  Knowledge GRID  To share knowledge  Idea: Virtual distributed laboratory  Data GRID  To share the data  Idea: Large scale data storage  Computing GRID  To share computing power  Idea: Alternative to supercomputers Faculty of Computer Science and Engineering HCMC University of Technology 13 The GRID today -1  Knowledge GRID  Virtual distributed Institutes/Laboratories allowing remote people to collaborate as they would be at the same location  Purpose: to share knowledge, to collaborate for researches or specific activities  Few specific tries  Remote surgery  . Faculty of Computer Science and Engineering HCMC University of Technology 14 The GRID today - 2  Data GRID  Also referenced as « peer-to-peer » technology  Versus to the « Client/Server » technology who dominated the market of distributed systems during last decades, with this approach every participant is both client and server  Nobody knows exactly where the data are  The system figures to find the nearest requested data out  The requested data could be distributed on several location and same data could be located at several places (data coherence problem)  The pursuit of the data is transparent to the user  Some examples:  DATAGRID (CERN), The British Atmospheric Data Centre Faculty of Computer Science and Engineering HCMC University of Technology 15 The GRID today - 3  Computational GRID  A supercomputer on you the table of your kitchen  Some facts  Supercomputers are very expensive and age very rapidly  Except for some very specific persons, we do not need a supercomputer every day but when we need one it is very frustrating not to have one !  The total time personal and other computer waste time not doing anything is huge  I am (almost) permanently connected to a lot of computers.  Potentially I am permanently connected to a supercomputer  First try to exploit this fact: Project SETI@home Faculty of Computer Science and Engineering HCMC University of Technology 16 “Grid” vs. cluster computing  “Partial view” vs. “Global view” of the environment  Large scale, geographically distributed  Non-structured  Heterogeneous  Dynamic, unstable  Multiple administrative domains Faculty of Computer Science and Engineering HCMC University of Technology 17 Supercomputer PC Supercomputer My laptop Workstation SMPCluster Computing Grid: our goal ? Faculty of Computer Science and Engineering HCMC University of Technology 18 The Dream  To make computers user friendly: To switch  from a program centric view  « Execute this program on this (these) machine(s)»  to a service centric view  « Provide me this service with this QoS level » Faculty of Computer Science and Engineering HCMC University of Technology 19 The Grid We are Building Faculty of Computer Science and Engineering HCMC University of Technology 20 Grid Characteristics  Large-scale  Need for dynamic selection  Partial view of the environment  Heterogeneity  Hardware, OS, network, software environments (languages, libraries, tools...)  Complex  unpredictable structure  Dynamic  unpredictable behaviour  Multiple administrative domain  no centralized control Faculty of Computer Science and Engineering HCMC University of Technology 21 Challenges (1)  Efficient exploitation of Grid performance  New programming models  Service-centric vision  Resource connectivity  Middleware services  Applications  Interoperability vs. performance  Good interoperability -> slow performance  Fast -> not so interoperable Faculty of Computer Science and Engineering HCMC University of Technology 22 Challenges (2)  Grid scalability  Resource management mechanisms/models  Large number of heterogeneous resources  Grid infrastructure and Grid application evaluations  How to benchmark Grid systems and applications  Trust and security  How to trust the environment  How to protect sensitive data

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