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| 한글제목(Korean Title) |
A Novel Dynamic Optimization Technique for Finding Optimal Trust Weights in Cloud |
| 영문제목(English Title) |
A Novel Dynamic Optimization Technique for Finding Optimal Trust Weights in Cloud |
| 저자(Author) |
Aluri V.H. Sai Prasad
Ganapavarapu V.S. Rajkumar
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| 원문수록처(Citation) |
VOL 16 NO. 06 PP. 2060 ~ 2073 (2022. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Cloud Computing permits users to access vast amounts of services of computing power in a virtualized environment. Providing secure services is essential. There are several problems to real-world optimization that are dynamic which means they tend to change over time. For these types of issues, the goal is not always to identify one optimum but to keep continuously adapting to the solution according to the change in the environment. The problem of scheduling in Cloud where new tasks keep coming over time is unique in terms of dynamic optimization problems. Until now, there has been a large majority of research made on the application of various Evolutionary Algorithms (EAs) to address the issues of dynamic optimization, with the focus on the maintenance of population diversity to ensure the flexibility for adapting to the changes in the environment. Generally, trust refers to the confidence or assurance in a set of entities that assure the security of data. In this work, a dynamic optimization technique is proposed to find an optimal trust weights in cloud during scheduling.
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| 키워드(Keyword) |
Cloud computing
Dynamic programming
Cluster based dynamic optimization techniques
Evolutionary Algorithms
task scheduling
Meta heuristic algorithms and Trust
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| 파일첨부 |
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