A log data analytics based scheduling in open source cloud software

Author

Srikrishnan, V. ; Sivasankar, E. ; Pitchiah, R.

Author_Institution

Centre for Dev. of Adv. Comput., Chennai, India

fYear

2014

fDate

11-13 Dec. 2014

Firstpage

390

Lastpage

395

Abstract

The paper proposes a Log Data Analytics based Scheduling in the Private Cloud environment in order to boost up the probability of launching Virtual Machine successfully. Analytics is applied to the logs maintained by Eucalyptus, a Open Source Cloud Software. The Proposed Methodology focuses on scheduling in the private cloud built with Eucalyptus Cloud Software, so that the proposed Scheduling at Eucalyptus Cloud Software is Analytics based; From the logs certain use cases are determined, which shall be used for capacity planning. Analytics is a conjucture, grouping, investigation, tracking and reporting of data for the cause of perception and optimization of utilization.

Keywords

cloud computing; data analysis; public domain software; scheduling; virtual machines; Eucalyptus cloud software; capacity planning; log data analytics based scheduling; open source cloud software; private cloud environment; virtual machine; Cloud computing; Data analysis; Processor scheduling; Servers; Virtual machining; Virtualization; Capacity Planning; Cloud Computing; Data Analytics; Eucalyptus; HDFS; Hadoop; Scheduling; Xen;

fLanguage

English

Publisher

ieee

Conference_Titel

Parallel, Distributed and Grid Computing (PDGC), 2014 International Conference on

Conference_Location

Solan

Print_ISBN

978-1-4799-7682-9

Type

conf

DOI

10.1109/PDGC.2014.7030777

Filename

7030777