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About SLA-Based Resource Scheduling For Big Data Analytics As A Service in Cloud Computing Environments
This document discusses resource scheduling for big data analytics applications in cloud computing environments. It proposes an Analytics as a Service (AaaS) platform that provides big data analytics applications to users as consumable services. The key contribution is an admission control and resource scheduling algorithm that aims to satisfy quality of service requirements, maximize profit for AaaS providers, and provide cost-effective resource scheduling. The algorithm admits analytic requests based on budgets and deadlines, schedules resources to ensure SLAs are met, and works to increase profits. The paper presents the architecture and models of the AaaS platform and evaluates the performance of the scheduling algorithm.
Detailed Information
| Author: | ['ajaytiwari2779'] |
|---|---|
| Publication Year: | 2016 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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