Experiences in running workloads over grid3

Authors:
Catalin L. Dumitrescu;Ioan Raicu;Ian Foster
Affiliations:
Computer Science Department, The University of Chicago, Chicago, IL;Computer Science Department, The University of Chicago, Chicago, IL;Computer Science Department, The University of Chicago, Chicago, IL
Venue:
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Year:
2005

Citing 10
Cited 8

A Community Authorization Service for Group Collaboration

POLICY '02 Proceedings of the 3rd International Workshop on Policies for Distributed Systems and Networks (POLICY'02)
Usage Policy-Based CPU Sharing in Virtual Organizations

GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Balancing Risk and Reward in a Market-Based Task Service

HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
The Grid2003 Production Grid: Principles and Practice

HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Connecting client objectives with resource capabilities: an essential component for grid service managent infrastructures

Proceedings of the 2nd international conference on Service oriented computing
Cremona: an architecture and library for creation and monitoring of WS-agreents

Proceedings of the 2nd international conference on Service oriented computing
The Future Interconnection Environment

Computer
A Model for Usage Policy-Based Resource Allocation in Grids

POLICY '05 Proceedings of the Sixth IEEE International Workshop on Policies for Distributed Systems and Networks
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications
GangSim: a simulator for grid scheduling studies

CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02

AssessGrid Strategies for Provider Ranking Mechanisms in Risk---Aware Grid Systems

GECON '08 Proceedings of the 5th international workshop on Grid Economics and Business Models
How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications

GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
On grid performance evaluation using synthetic workloads

JSSPP'06 Proceedings of the 12th international conference on Job scheduling strategies for parallel processing
An opportunistic algorithm for scheduling workflows on grids

VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Problems for resource brokering in large and dynamic grid environments

Euro-Par'06 Proceedings of the 12th international conference on Parallel Processing
The characteristics and performance of groups of jobs in grids

Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
The Failure Trace Archive: Enabling the comparison of failure measurements and models of distributed systems

Journal of Parallel and Distributed Computing
SimMatrix: SIMulator for MAny-Task computing execution fabRIc at eXascale

Proceedings of the High Performance Computing Symposium

Quantified Score

Hi-index	0.00

Visualization

Abstract

Running workloads in a grid environment is often a challenging problem due the scale of the environment, and to the resource partitioning based on various sharing strategies. A resource may be taken down during a job execution, be improperly setup or just fail job execution. Such elements have to be taken in account whenever targeting a grid environment for execution. In this paper we explore these issues on a real grid, Grid3, by means of a specific workload, the BLAST workload, and a specific scheduling framework, GRUBER – an architecture and toolkit for resource usage service level agreement (SLA) specification and enforcement. The paper provides extensive experimental results. We address in high detail the performance of different site selection strategies of GRUBER and the overall performance in scheduling workloads in Grid3 with workload sizes ranging from 10 to 10,000 jobs.