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GRID COMPUTING Faisal N. Abu-Khzam  &  Michael A. Langston University of Tennessee
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hour 1: Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
What is Grid Computing? ,[object Object],[object Object],[object Object],[object Object],[object Object]
Computational Grids ,[object Object],[object Object],[object Object]
Computational Grids ,[object Object],[object Object]
Cousins of Grid Computing ,[object Object],[object Object],[object Object],[object Object]
Distributed Computing ,[object Object],[object Object]
PEER2PEER Computing ,[object Object],[object Object]
Methods of Grid Computing ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distributed Supercomputing ,[object Object],[object Object]
High-Throughput Computing ,[object Object]
On-Demand Computing ,[object Object],[object Object]
Data-Intensive Computing ,[object Object],[object Object]
Collaborative Computing ,[object Object],[object Object]
Logistical Networking ,[object Object],[object Object],[object Object]
Who Needs Grid Computing? ,[object Object],[object Object],[object Object]
An Illustrative Example ,[object Object],[object Object]
Example (continued) ,[object Object]
Example (continued) ,[object Object],[object Object],[object Object]
Grid Users ,[object Object],[object Object],[object Object],[object Object],[object Object]
Grid Developers ,[object Object],[object Object]
Tool Developers ,[object Object],[object Object],[object Object],[object Object],[object Object]
Tool Developers ,[object Object],[object Object],[object Object],[object Object],[object Object]
Application Developers ,[object Object],[object Object]
System Administrators ,[object Object],[object Object],[object Object]
Some Highly-Visible Grids ,[object Object],[object Object],[object Object],[object Object]
DTF ,[object Object],[object Object]
DTF Expectations ,[object Object],[object Object],[object Object]
GRID COMPUTING ,[object Object]
Hour 2: Using the Grid ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Globus ,[object Object],[object Object]
Globus ,[object Object],[object Object]
The Globus Toolkit ,[object Object],[object Object],[object Object],[object Object],[object Object]
The Globus Toolkit ,[object Object],[object Object],[object Object],[object Object]
The Globus Toolkit ,[object Object],[object Object],[object Object],[object Object]
Condor ,[object Object],[object Object]
Condor ,[object Object],[object Object],[object Object]
The Condor Pool Software ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The Condor Pool Software ,[object Object],[object Object],[object Object],[object Object],[object Object]
Condor-G ,[object Object],[object Object],[object Object]
Legion ,[object Object],[object Object]
Legion ,[object Object],[object Object]
Harness ,[object Object],[object Object],[object Object]
Harness ,[object Object],[object Object]
IBP ,[object Object],[object Object]
IBP ,[object Object],[object Object]
IBP ,[object Object]
IBP ,[object Object]
NetSolve ,[object Object],[object Object]
The NetSolve Agent  ,[object Object],[object Object]
The NetSolve Agent ,[object Object],[object Object]
The NetSolve Client ,[object Object],[object Object],[object Object],[object Object]
The NetSolve Server ,[object Object],[object Object],[object Object]
The NetSolve Server ,[object Object],[object Object]
The PDF Template ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Network Weather Service ,[object Object],[object Object],[object Object],[object Object]
Gridware Collaboarations ,[object Object],[object Object],[object Object],[object Object]
Gridware Collaboarations ,[object Object],[object Object]
GRID COMPUTING ,[object Object]
Hour 3: Ongoing Research ,[object Object],[object Object],[object Object],[object Object],[object Object]
Motivation ,[object Object],[object Object],Graph from  Scientific American  (Jan-2001) by Cleo Vilett,  source Vined Khoslan, Kleiner, Caufield and Perkins
Special Projects ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The SInRG Project
The Grid Service Cluster ,[object Object],[object Object],[object Object]
The Grid Service Cluster
An advanced data switch ,[object Object],[object Object]
Computational Ecology GSC ,[object Object],[object Object],[object Object],[object Object]
Medical Imaging GSC ,[object Object],[object Object],[object Object]
Molecular Design GSC  ,[object Object],[object Object],[object Object],[object Object]
Machine Design GSC ,[object Object],[object Object],[object Object],[object Object]
Machine Design GSC
Types of Hardware ,[object Object],[object Object],[object Object]
The FPGA ,[object Object],[object Object],[object Object]
The Pilchard Environment ,[object Object],[object Object],[object Object],[object Object]
Objectives ,[object Object],[object Object],[object Object],[object Object]
Sample Implementations ,[object Object],[object Object],[object Object],[object Object]
Implementation Techniques ,[object Object],[object Object],[object Object],[object Object]
The Hardware Function ,[object Object],[object Object],[object Object]
The Hardware Function ,[object Object],[object Object],[object Object]
Behind the Scenes Software and  Hardware functions PDFs, Libraries VHDL code Configuration file VHDL programmer Server administrator Software programmer Synthesis Client NetSolve server Request Request results
Conclusions ,[object Object],[object Object],[object Object]
Unbridled Parallelism ,[object Object],[object Object]
A Naked SSH Approach ,[object Object],[object Object],[object Object],[object Object],[object Object]
Grid Security ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some General Issues ,[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
References ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
GRID COMPUTING ,[object Object]

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Grid Computing

  • 1. GRID COMPUTING Faisal N. Abu-Khzam & Michael A. Langston University of Tennessee
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  • 81. Behind the Scenes Software and Hardware functions PDFs, Libraries VHDL code Configuration file VHDL programmer Server administrator Software programmer Synthesis Client NetSolve server Request Request results
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Notas del editor

  1. Because network speed is increasing faster than platform speeds. It’s easier to tie platforms together rather than building new platforms.
  2. On-campus infrastructure, funded by NSF, to mirror technologies and interdisciplinary collaborations .
  3. Regarded as the basic grid building block. Some are General-purpose and some are special-purpose. GSCs will use the same software infrastructure as is now being deployed on the national Grid, but tuned to take advantage of the highly structured and controlled design of the cluster.
  4. Because a GSC is built around a single advanced data switch,communication services, such as advanced forms of QoS, can be easily implemented within a GSC even though similar services would be problematic across an advanced network.
  5. Pilchard is a sardine-like fish. Common to the Mediterranean area.
  6. If user requests a software version, the NetSolve agent may send the request to any server. But, if the user requests the hardware version, then we know that (as it’s currently configured) the agent will send the request to the Machine Design server. The hardware version has the potential to run several hundred times faster than the software version.
  7. Langston-Dongarra-Plank-Beck-Eijkhout. A big project underway at Tennessee to incorporate grid security. 1-(entire problem is concealed) 2-corroborate: verify if something is true. Send data out, put cryptography on it and check if you receive the right data. 3- more checkpointing enhances reliability and fault tolerance. (there is much overlap between all of the above. Voting: many processrs and some of them are untrusted. Give all of them the same computation and check the answers. Those that do note have the same as majority are thrown out. Scalability: all of the above are concerned with scalability 9as grids get bigger…)
  8. 1- What’s the right structure? How should grids be organised? Which strategy is better? Harness looks like it’s not dreally popular but Globus is extremely popular. Is it going to be like cars or like PCs? 2- like Netsove? Where everybody can sign on or ? How do you handle Trojan horses? NetSolve ignores them! Because the code runs on the server machine and is not sent to it. So it can’t be infected. Condor actually passes code. So it’s vulnerable to Trojan horses. 2- How much time does a user get on a machine? How much space? Are there clear priority structures? 3-What’s the right metric? Throughput? Elapsed time? 4- What are you monitoring? They measure how busy and loaded a machine is. So how do you monitor a machine without affecting its performance? 5- This will always be an issue in grid computing.