1 / 8

Topics in Grid Computing Orientation

This course provides an overview of Grid Computing, explaining its differences from parallel and distributed computing. It explores the need for a collaborative and challenging environment for various applications and discusses the research challenges and opportunities in the field.

ksusan
Download Presentation

Topics in Grid Computing Orientation

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Topics in Grid ComputingOrientation Sathish Vadhiyar

  2. Grid?? • What is a Grid? A bunch of machines put together for problem solving • Why need a bunch of machines? • For solving quickly • For solving larger sized problems • To improve the quality of the solutions • Not all components for solving a problem reside on a single machine • Many more

  3. What’s new • How is Grid computing different from the earlier parallel computing, distributed computing etc.? • Shared resources with multiple ownerships • So? Many of the assumptions you make on traditional resources go away. Multiple system administrators, multiple usage policies Load patterns in the resources can vary Resources can be arbitrarily brought down

  4. New Research Challenges • Interfacing/Integrating multiple research techniques • Multiple security protocols • Multiple job spawning protocols • Multiple user interfaces • Multiple scheduling policies • ….. • Scheduling and rescheduling • Fault tolerance and migration • Identifying and developing new applications on the Grid paradigm

  5. But, why do we need such a challenging environment? • For ever-greedy applications • For long running applications • For multi-component applications • For parameter sweep applications • For collaborative computing • For remote resource usage

  6. Why the term Grid • Analogy to the electrical power grid • 20,000 generators, billions of outlets, different ownerships • Various appliances, different kinds of users • Ease of use

  7. About the Course • Course web page:http://www.serc.iisc.ernet.in/~vss/courses/GC2008 • Course Details • Research-oriented course • Timings • Grading scheme • Syllabus • Other rules of the game.. • Registration…

  8. Definitions Relevant to the Course • Seamless access • Real scientific (parallel) applications • Automatically acquiring or shrinking resources • Linking disparate software resources • Something that seamlessly facilitates something (computing or whatever) either not possible or possible with much severe constraints on local (owned, 1-site) resources • Resources have to be heterogeneous in some way or other. • Has to involve at least 2 different sites to realistically present network heterogeneity

More Related