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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 74

Article Submitted : 3607

Article Published : 2073

Total Authors : 5501

Total Reviewer : 528

Total Countries : 39

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Paper Title: Resource Allocation Techniques for Improving QoS in Cloud Computing
Authors Name: GUGULOTH LACHIRAM , B SHANKAR NAIK
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IJRTI_182437
Published Paper Id: IJRTI2206136
Published In: Volume 7 Issue 6, June-2022
DOI:
Abstract: Cloud computing has become a crucial platform for processing data and executing computationally intensive applications on a pay-per-use basis. Resource allocation is the mechanism by which cloud providers provide resources to users based on their adaptable needs. Service Level Agreement (SLA) between service providers and customers has grown more critical as data continues to grow exponentially. This process of resource distribution gets increasingly difficult as a result of limited resources and rising customer demands. In light of the uniqueness of the models and approaches, the primary objective of resource allocation is to minimize the related overhead costs. The thematic taxonomy of resource allocation dimensions is examined, along with the articles that fall within each category. Focusing on resource and request validation, we propose the Multi-Agent-based Dynamic Resource Allocation (MADRA) strategy, a multistage framework utilizing the QoS-based Resource Allocation (QRA) algorithm, and the Artificial Immune System Directed Acyclic Graph (AIS-DAG) model for optimal resource allocation use to improve QoS and scalability.
Keywords: Cloud computing, AIS-DAG, Resource allocation, Resource scheduling, QoS
Cite Article: "Resource Allocation Techniques for Improving QoS in Cloud Computing ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.821 - 827, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206136.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2206136
Registration ID:182437
Published In: Volume 7 Issue 6, June-2022
DOI (Digital Object Identifier):
Page No: 821 - 827
Country: khammam, Telangana, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2206136
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2206136
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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