Efficient management of grid resources using a bi-level decision-making architecture for "processable" bulk data

Authors:
Imran Ahmad;Shikharesh Majumdar
Affiliations:
Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada;Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada
Venue:
OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II
Year:
2007

Citing 7
Cited 3

A Policy Service for GRID Computing

GRID '02 Proceedings of the Third International Workshop on Grid Computing
XML-Based Policy Engine Framework for Usage Policy Management in Grids

GRID '02 Proceedings of the Third International Workshop on Grid Computing
End-to-End Provision of Policy Information for Network QoS

HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Enabling the Co-Allocation of Grid Data Transfers

GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Handbook of Scheduling: Algorithms, Models, and Performance Analysis

Handbook of Scheduling: Algorithms, Models, and Performance Analysis
Lognormal and Pareto distributions in the Internet

Computer Communications
Efficient management of grid resources using a bi-level decision-making architecture for "processable" bulk data

OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II

Performance of resource management algorithms for "Processable Bulk Data Transfer" Tasks in Grid Environments

WOSP '08 Proceedings of the 7th international workshop on Software and performance
A Two Level Approach for Managing Resource and Data Intensive Tasks in Grids

OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Efficient management of grid resources using a bi-level decision-making architecture for "processable" bulk data

OTM'07 Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems: CoopIS, DOA, ODBASE, GADA, and IS - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

The problem of efficient assignment of resources to perform a given bag-of-tasks in a distributed computing environment has been extensively studied by research communities. To develop an efficient resource assignment mechanism, this paper focuses on a particular type of resource intensive tasks and presents a bi-level decision-making architecture in a grid computing environment. In the proposed architecture, the higher decision-making module has the responsibility to select a partition of resources for each of the tasks. The lower decision-making module uses Integer Linear Programming based algorithm to actually assign resources from this selected partition to a particular task from the given set of tasks. This paper analyzes the performance of the proposed architecture at various workload conditions. This architecture can be extended for other types of tasks using the concepts presented.