Distributed Autonomous Virtual Resource Management in Datacenters Using Finite-Markov Decision Process

Author:

Chen Liuhua1,Shen Haiying1,Sapra Karan1

Affiliation:

1. Department of Electrical and Computer Engineering, Clemson University, Clemson, South Carolina 29634

Funder

National Science Foundation

Publisher

ACM

Reference23 articles.

1. Microsoft Azure. http://www.windowsazure.com. Microsoft Azure. http://www.windowsazure.com.

2. BEA System Inc. http://www.bea.com. BEA System Inc. http://www.bea.com.

3. Amazon. Amazon Web Service. http://aws.amazon.com/. Amazon. Amazon Web Service. http://aws.amazon.com/.

4. Quantifying load imbalance on virtualized enterprise servers

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1. An Autonomous Resource Management Model towards Cloud Morphing;Proceedings of the 6th International Workshop on Edge Systems, Analytics and Networking;2023-05-08

2. CloudBench: an integrated evaluation of VM placement algorithms in clouds;The Journal of Supercomputing;2020-01-10

3. An adaptive overload threshold selection process using Markov decision processes of virtual machine in cloud data center;Cluster Computing;2018-03-30

4. Randomized Algorithms for Dynamic Storage Load-Balancing;Proceedings of the Seventh ACM Symposium on Cloud Computing;2016-10-05

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