Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization

Optimizing MapReduce Task Scheduling on Virtualized Heterogeneous Environments Using Ant Colony Optimization

Consuming Hadoop MapReduce via virtual infrastructure as a service is becoming common practice as cloud service providers (CSP) offers relevant applications and scalable resources. One of the predominant requirements of cloud users is to improve resource utilization in the virtual cluster during the...

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Bibliographic Details
Main Authors: Rathinaraja Jeyaraj, Anand Paul
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Ant colony optimization
bin packing
heterogeneity
MapReduce
resource utilization
task scheduling
Online Access:https://ieeexplore.ieee.org/document/9779225/

Internet

https://ieeexplore.ieee.org/document/9779225/

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