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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21504
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
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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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| Author Reg. ID: |
IJRTI_182437
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| 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 for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.821 - 827, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206136.pdf |
| Downloads: | 000205379 |
| 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 |
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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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