OASM: An overload‐aware workload scheduling method for cloud computing based on biogeographical optimization
Author:
Affiliation:
1. Faculty of Computer and Electrical EngineeringSafahan Institute of Higher Education Isfahan Iran
2. Faculty of Computer EngineeringUniversity of Isfahan Isfahan Iran
3. Faculty of Computer EngineeringShahrekord University Shahrekord Iran
Publisher
Wiley
Subject
Computer Networks and Communications,Computer Science Applications
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/nem.2105
Reference48 articles.
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3. DorronsoroB PinelF.Combining machine learning and genetic algorithms to solve the independent tasks scheduling problem. In: 2017 3rd IEEE International Conference on Cybernetics (CYBCONF) 21‐23IEEE;2017;Exeter UK:1‐8.
4. Phase–Reconfigurable Shuffle Optimization for Hadoop MapReduce
5. Survey of load balancing and scaling approaches in cloud;Kukade PP;Int J Emerg Trend Technol Comput Sci(IJETTCS),2015
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