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Optimized Cloud Resources Management Based on Dynamic Scheduling Policies and Elasticity Models

Authors:
Nikolaos Chelmis
Dimosthenis Kyriazis
Marinos Themistocleous

Keywords: Cloud Computing; Infrastructure as a Service (IaaS); Elasticity; Monitoring; Scheduling Policy; Quality of Service

Abstract:
Nowadays, the interest on Cloud Computing as a technical and business best practice has grown to great length. There is a huge pool of available cloud applications and services offered to end users. As application requirements, reflected to resources requirements (i.e., network, storage, computing capacity), are set by the application provider, a key issue relates to the resulting elasticity needs and their modeling. In addition to elasticity needs, application providers aim to maximize their customer base while considering the associated costs. To this end, business models are needed in order to attract customers while considering cost constraints. Their aim is to optimize the performance of the “investment” for resources compared to the expected number of customers. Nevertheless, the latter is directly linked to the provided quality of service and users’ quality of experience. To this direction, in this paper, we present a mechanism that dynamically maps scheduling policies with the planned and estimated resources based on varying needs.

Pages: 20 to 26

Copyright: Copyright (c) IARIA, 2015

Publication date: March 22, 2015

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-388-9

Location: Nice, France

Dates: from March 22, 2015 to March 27, 2015