VM and workload fingerprinting for software defined datacenters
Name
870532574-MIT.pdf
Description
Full printable version
Size
11.27 MB
Format
Adobe PDF
Checksum (MD5)
f27e93317aaf7a5454b55cef0a2d4ecf
Author(s)
Ionescu, Dragos Ciprian
Advisor(s)
Saman Amarasinghe.
Alternative Title
Virtual machines and workload fingerprinting for software defined datacenters
Date Issued
2013
Publisher
Massachusetts Institute of Technology
Abstract
In this work we develop strategies for mining telemetry streams in virtualized clusters to automatically discover relationships between sets of virtual machines. Examples of relationships include correlations between virtual machines, similarities in resource consumption patterns or dominant resources, and similarities in metric variations. The main challenge in our approach is to transform the raw captured data consisting of resource usage and VM-related metrics into a meaningful fingerprint that identifies the virtual machine and describes its performance. In our analysis we try to determine which of these metrics are relevant and how they can be expressed as a light-weight and robust fingerprint that offers insight about the status of the machine.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 89-90).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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