JOURNAL ARTICLE

Dynamic Resource Allocation in Cloud Environments

Rohith Sunilkumar Nair

Year: 2023 Journal:   International Journal for Research in Applied Science and Engineering Technology Vol: 11 (6)Pages: 417-422   Publisher: International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Abstract

Abstract: The provisioning and use of computing resources has been completely transformed by cloud computing, which provides previously unheard-of levels of scalability, flexibility, and cost-effectiveness. In order to maximize resource utilizatio and guarantee peak performance in cloud settings, dynamic resource allocation is essential. In order to provide a thorough grasp of the most recent developments in this subject, this survey paper offers an in-depth review of dynamic resource allocation methods in cloud computing. The survey includes a wide range of dynamic resource allocation techniques, including as cost-optimization methods, resource provisioning and scheduling techniques, and load-balancing algorithms. Each method is examined in terms of its advantages, drawbacks, and applicability to particular cloud deployment scenarios. The research also investigates evaluation approaches and performance indicators for evaluating the efficacy of dynamic resource allocation systems. It emphasizes the need for continued research and innovation to address the evolving demands of cloud computing environments.

Keywords:
Cloud computing Provisioning Computer science Software deployment Resource allocation Scalability Distributed computing Flexibility (engineering) GRASP Resource (disambiguation) Scheduling (production processes) Dynamic priority scheduling Benchmark (surveying) Database Quality of service Computer network Engineering

Metrics

1
Cited By
0.62
FWCI (Field Weighted Citation Impact)
39
Refs
0.66
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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