High occupancy resource allocation for grid and cloud systems, a study with DRIVE

Chard, Kyle, Bubendorfer, Kris and Komisarczuk, Peter (2010) High occupancy resource allocation for grid and cloud systems, a study with DRIVE. In: 19th ACM International Symposium on High Performance Distributed (HPDC '10), 21-25 June 2010, Chicago, USA.

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Economic models have long been advocated as a means of efficient resource allocation, however they are often criticized due to a lack of performance and high overheads. The widespread adoption of utility computing models as seen in commercial Cloud providers has re-motivated the need for economic allocation mechanisms. The aim of this work is to address some of the performance limitations of existing economic allocation models, by reducing the failure/reallocation rate, increasing occupancy and thereby increasing the obtainable utilization of the system. This paper is a study of high performance resource utilization strategies that can be employed in Grid and Cloud systems. In particular we have implemented and quantified the results for strategies including overbooking, advanced reservation, justin-time bidding and using substitute providers for service delivery. These strategies are analyzed in a meta-scheduling context using synthetic workloads derived from a production Grid trace to quantify the performance benefits obtained.

Item Type: Conference or Workshop Item (Paper)
ISBN: 9781605589428
Identifier: 10.1145/1851476.1851486
Page Range: pp. 73-84
Identifier: 10.1145/1851476.1851486
Keywords: Economic Resource Allocation, Cloud Computing, Grid Computing
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 21 Mar 2014 15:10
Last Modified: 28 Aug 2021 07:17
URI: https://repository.uwl.ac.uk/id/eprint/780

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