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About Ijert Ijert: Survey On Workload Management in Cloud
This document summarizes research on workload management techniques in cloud computing. It discusses how dynamic resource allocation and provisioning are needed to effectively manage fluctuating and unpredictable workloads. It reviews several approaches for workload prediction, including cubic spline interpolation and hot spot detection algorithms. It also describes skewness algorithms for measuring server utilization and combining workloads, as well as Workload-Tailored Elastic Compute Units (WECU) that can dynamically scale resources based on workloads. The goal is to survey techniques that improve the performance and efficiency of workload management in cloud environments.
Detailed Information
| Author: | ['Venkata NS Dhulipala'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 3 |
| Language: | English |
| Format: | |
| Price: | FREE |
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