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Scalability of Distributed Dynamic Load Balancing Mechanisms

Authors:
Alcides Calsavara
Luiz Augusto Paula Lima Jr.

Keywords: load balancing; scalability; distributed algorithm; autonomic systems

Abstract:
A load balancing mechanism for large-scale systems should be distributed and dynamic in order to accomplish scalability and high availability. Also, it should be autonomic in order to ease network management. The recent development in utility computing architectures, such as the so-called cloud computing platforms, has increased the demand for such mechanisms. This paper investigates a novel approach, based on the concept of virtual magnetic fields, by which ready-to-start tasks launched on a network middleware are “attracted” to idle nodes. The key issue on such approach is that the update of workload information amongst the cooperating nodes of a network must be a low-cost and an autonomic operation. Two different update algorithms are presented, and their complexity is assessed through simulation. The results show that both algorithms fulfill the scalability requirement.

Pages: 347 to 352

Copyright: Copyright (c) IARIA, 2011

Publication date: January 23, 2011

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-113-7

Location: St. Maarten, The Netherlands Antilles

Dates: from January 23, 2011 to January 28, 2011