Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model

Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model

This paper investigates a service level agreements (SLAs)-based resource allocation problem in a server cluster. The objective is to maximise the total profit, which is the total revenue minus the operational cost of the server cluster. The total revenue depends on the average request response time,...

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Bibliographic Details
Main Authors: Pu Zhao, Xue Lin, Yanzhi Wang, Shuang Chen, Massoud Pedram
Format: Article
Language:English
Published: Wiley 2017-10-01
Series:IET Cyber-Physical Systems
Subjects:
contracts
Markov processes
multiprocessing systems
resource allocation
power aware computing
linear programming
cloud computing
hierarchical resource allocation and consolidation framework
multicore server cluster
service level agreements
SLA-based resource allocation problem
joint optimisation framework
dynamic voltage and frequency scaling
request dispatching
DVFS
continuous-time Markov decision process
linear programming-based CTMDP solving method
two-tier hierarchical solution
request dispatch problem
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0060

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https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0060

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