Scalable, Adaptable, and Fast Estimation of Transient Downtime in Virtual Infrastructures Using Convex Decomposition and Sample Path Randomization-Reference-Cited by-同舟云学术

Scalable, Adaptable, and Fast Estimation of Transient Downtime in Virtual Infrastructures Using Convex Decomposition and Sample Path Randomization

Published:2019-10-16 Issue: Volume: Page:
ISSN:1091-9856
Container-title:INFORMS Journal on Computing
language:en
Short-container-title:INFORMS Journal on Computing

Author:

Guo Zhiling¹^ORCID,Li Jin²³^ORCID,Ramesh Ram⁴^ORCID

Affiliation:

1. School of Information Systems, Singapore Management University, Singapore 178902

2. School of Management, Xi’an Jiaotong University, Xi’an, Shaanxi 710049, China

3. School of Economics and Management, Xidian University, Xi’an, Shaanxi 710071, China

4. Department of Management Science and Systems, State University of New York, Buffalo, New York 14260

Publisher

Institute for Operations Research and the Management Sciences (INFORMS)

Subject

General Engineering

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5. ETSI (2013a) Network functions virtualisation NFV: Architectural framework. Technical report, ETSI Industry Specification Group, Sophia Antipolis, France.

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