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Multi-class Resource Sharing with Batch Arrivals and Complete Blocking

Lookup NU author(s): Dr Paul EzhilchelvanORCiD, Emeritus Professor Isi Mitrani

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Springer Verlag, 2017.

For re-use rights please refer to the publisher's terms and conditions.

Abstract

© 2017, Springer International Publishing AG. A cloud provider hosts virtual machines of different types, with different resource requirements. There are bounds on the total amounts of each kind of resource that are available. Requests arrive in batches of different sizes, and are accepted if all the VMs in the batch can be accommodated; otherwise the request is blocked, with an associated loss of revenue. The trade-offs between costs and benefits are evaluated by means of an appropriate model, for which a novel solution is proposed. The applicability of that solution is extended, by means of a simplification, to very large-scale systems. Numerical examples and comparisons with simulations are presented.

Publication metadata

Author(s): Ezhilchelvan P, Mitrani I

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: International Conference on Quantitative Evaluation of Systems (QEST 2017)

Year of Conference: 2017

Pages: 157-169

Online publication date: 11/08/2017

Acceptance date: 02/04/2016

Date deposited: 03/07/2018

Publisher: Springer Verlag

URL: https://doi.org/10.1007/978-3-319-66335-7_10

DOI: 10.1007/978-3-319-66335-7_10

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ISBN: 9783319663340

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