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About Cloudcomputing 14
This document summarizes a research paper that proposes a new genetic algorithm to schedule service workflows with quality of service (QoS) constraints in cloud computing environments. The algorithm aims to optimize multiple objectives simultaneously, such as makespan (execution time), cost, reliability, and resource utilization. It formulates the workflow scheduling problem as a multi-objective optimization problem to minimize makespan, cost, and maximize reliability. The genetic algorithm evaluates potential solutions based on these objectives to find optimal resource allocations and schedules that meet all QoS constraints. Experimental results demonstrate the effectiveness and scalability of the proposed multi-objective approach.
Detailed Information
| Author: | ['gregory'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 15 |
| Language: | English |
| Format: | |
| Price: | FREE |
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