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Optimization Approach for Resource Allocation on Cloud Computing for IoTopen access

Authors
Choi, YeonghoLim, Yujin
Issue Date
Mar-2016
Publisher
Hindawi Publishing Corporation
Citation
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Journal Title
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/9893
DOI
10.1155/2016/3479247
ISSN
1550-1329
1550-1477
Abstract
Combinatorial auction is a popular approach for resource allocation in cloud computing. One of the challenges in resource allocation is that QoS (Quality of Service) constraints are satisfied and provider's profit is maximized. In order to increase the profit, the penalty cost for SLA (Service Level Agreement) violations needs to be reduced. We consider execution time constraint as SLA constraint in combinatorial auction system. In the system, we determine winners at each bidding round according to the job's urgency based on execution time deadline, in order to efficiently allocate resources and reduce the penalty cost. To analyze the performance of our mechanism, we compare the provider's profit and success rate of job completion with conventional mechanism using real workload data.
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공과대학 (인공지능공학부)
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