Long range dependence in cloud servers: a statistical analysis based on Google workload trace

Shaifu Gupta; A. D. Dileep

doi:10.1007/s00607-019-00779-4

ScienceGate Book Chapters

JOURNAL ARTICLE

Long range dependence in cloud servers: a statistical analysis based on Google workload trace

Shaifu Gupta A. D. Dileep

Year: 2020 Journal: Computing Vol: 102 (4)Pages: 1031-1049 Publisher: Springer Science+Business Media

DOI: 10.1007/s00607-019-00779-4

Get Full-Text PDF Get Analytical Report

Keywords:

Cloud computing Computer science Workload Range (aeronautics) Context (archaeology) Server Resource (disambiguation) Aggregate (composite) The Internet Distributed computing TRACE (psycholinguistics) Data mining Computer network Operating system

Metrics

Cited By

1.50

FWCI (Field Weighted Citation Impact)

Refs

0.81

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Complex Network Analysis Techniques

Physical Sciences → Physics and Astronomy → Statistical and Nonlinear Physics

Cloud Computing and Resource Management

Physical Sciences → Computer Science → Information Systems

Peer-to-Peer Network Technologies

Physical Sciences → Computer Science → Computer Networks and Communications

Long range dependence in cloud servers: a statistical analysis based on Google workload trace

Metrics

Citation History

Topics

Related Documents

Analysis of Workload in Google Cluster Trace based on Job Termination Events

Statistical Testing for Long-Range Dependence in the Workload of a Single-Server Queue

Workload Prediction on Google Cluster Trace

[Statistical Methods for Data with Long-Range Dependence]: Comment: Short- Range Consequences of Long-Range Dependence

Experiments with Smart Workload Allocation to Cloud Servers