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- W4319431168 abstract "Though numerous research works have discussed about approaches towards providing QoS over cloud environment for variable services, research community suggest that the need for an adaptive QoS approach with quantifiable resources is a challenge. Hybrid cloud is currently adopted by industry with need for consistent QoS and variable security features. Variable number of users connected over cloud demand consistent resources such as network link capacity, distributed storage and dynamic processing capabilities for execution of service based on variable cloud. This paper focuses on identification and provisioning of demandable resources over a session for a specific task. The proposed EWOC approach works on an enhanced whale optimization algorithm for QoS supportive sessions in use. This paper models an adaptive resource assignment over PSO, SA scheduling algorithms and their QoS aspects." @default.
- W4319431168 created "2023-02-09" @default.
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- W4319431168 date "2022-12-13" @default.
- W4319431168 modified "2023-10-18" @default.
- W4319431168 title "Design and Analysis of an Adaptive QoS Aware Approach for Supporting Multiple Services using Meta Heuristic Enhanced Whale Optimization Algorithm over Hybrid Cloud Environment (EWOC)" @default.
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- W4319431168 doi "https://doi.org/10.1109/icacrs55517.2022.10029245" @default.
- W4319431168 hasPublicationYear "2022" @default.
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