Efficient Cloud Resource Scheduling for Stochastic Demand with Heterogeneous Cost Models

DOI

10.2991/iwama-16.2016.22How to use a DOI?

Keywords

heterogeneous cost models; demand stochasticity; cloud computing; resource scheduling

Abstract

Distributed cloud platforms facilitate service providers to deliver geographically dispersed online services to a large number of users all over the world, while the aggregated user requests introduce stochastic demands for various resources in different cloud data centers. Resource scheduling in cloud platform is of high complexity due to various nonlinear cost models and multidimensional demand stochasticity. Existed scheduling algorithms generally utilize linear cost model, thus is hard to utilize budget efficiently. We proposed an efficient Heterogeneous Cost models oriented cloud Resource Scheduling (HCRS) to address the problem. Experiments results show that HCRS increase revenue by up to 40% than that in previous mean demand based algorithm and is of low enough complexity. Therefore, HCRS can be used as a candidate for scheduling in cloud platforms with heterogeneous cost models.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wei Wei
AU  - Yang Liu
PY  - 2016/11
DA  - 2016/11
TI  - Efficient Cloud Resource Scheduling for Stochastic Demand with Heterogeneous Cost Models
BT  - Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation
PB  - Atlantis Press
SP  - 117
EP  - 123
SN  - 2352-5428
UR  - https://doi.org/10.2991/iwama-16.2016.22
DO  - 10.2991/iwama-16.2016.22
ID  - Wei2016/11
ER  -