Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs

Mobile micro-clouds are promising for enabling performance-critical cloud applications. However, one challenge therein is the dynamics at the network edge. In this paper, we study how to place service instances to cope with these dynamics, where multiple users and service instances coexist in the sy...

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Bibliographic Details
Published in:	IEEE transactions on parallel and distributed systems Vol. 28; no. 4; pp. 1002 - 1016
Main Authors:	Wang, Shiqiang, Urgaonkar, Rahul, He, Ting, Chan, Kevin, Zafer, Murtaza, Leung, Kin K.
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.04.2017 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms Approximation algorithms Cloud computing Computer simulation Configurations Cost function Electronic mail fog/edge computing Heuristic algorithms Mathematical analysis online approximation algorithm optimization Placement Polynomials Prediction algorithms Predictions Resource allocation Upper bounds Windows (intervals) wireless networks
ISSN:	1045-9219, 1558-2183
Online Access:	Get full text
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