Dynamic Resource Allocation Using an Adaptive Multi-Objective Teaching-Learning Based Optimization Algorithm in Cloud

Dynamic Resource Allocation Using an Adaptive Multi-Objective Teaching-Learning Based Optimization Algorithm in Cloud

Resource allocation is a non-polynomial complete problem in the cloud data center that selects the proper resources to execute many fine computational granularity tasks. Customer requirements and capacity of applications change frequently. To bridge the gap between frequently changing customer requi...

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Bibliographic Details
Main Authors: Ali Moazeni, Reihaneh Khorsand, Mohammadreza Ramezanpour
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Cloud computing
resource allocation
optimization
teaching and learning
adaptive algorithm
non-dominated sorting
Online Access:https://ieeexplore.ieee.org/document/10049567/

Internet

https://ieeexplore.ieee.org/document/10049567/

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