Optimization Approach for Resource Allocation on Cloud Computing for IoTopen access
- Authors
- Choi, Yeongho; Lim, 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.
- Files in This Item
-
Go to Link
- Appears in
Collections - ICT융합공학부 > IT공학전공 > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.