Predictive Auto-scaling Techniques for Clouds Subjected to Requests with Service Level Agreements

被引：10

作者：

Biswas, Anshuman ^{[1
]}

Majumdar, Shikharesh ^{[1
]}

Nandy, Biswajit ^{[1
]}

El-Haraki, Ali ^{[2
]}

机构：

[1] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON, Canada

[2] TELUS, Ottawa, ON, Canada

来源：

2015 IEEE WORLD CONGRESS ON SERVICES | 2015年

关键词：

auto-scaling; resource allocation; dynamic resource provisioning; scheduling with SLAs; resource management on clouds; machine learning;

D O I：

10.1109/SERVICES.2015.54

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses research focuses on automatic provisioning of cloud resources performed by an intermediary enterprise that provides a virtual private cloud for a single client enterprise by using resources from a public cloud. This paper concerns auto-scaling techniques for dynamically controlling the number of resources used by the client enterprise. We focus on proactive auto-scaling that is based on predictions of future workload based on the past workload. The primary goal of the auto-scaling techniques is to achieve a profit for the intermediary enterprise while maintaining a desired grade of service for the client enterprise. The technique supports both on demand requests and requests with service level agreements (SLAs). This paper presents an auto-scaling algorithm and includes a discussion of system design and implementation experience for a prototype system that implements the technique. A detailed performance analysis based on measurements made on the prototype is presented.

引用

页码：311 / 318

页数：8

共 18 条

[1]

[Anonymous], 2013, P 4 INT C CLOUD COMP

[2]

Biswas A., 2014, P INT C CLOUD COMP T

[3]

Breitgand D, 2005, ICAC 2005: SECOND INTERNATIONAL CONFERENCE ON AUTONOMIC COMPUTING, PROCEEDINGS, P204

[4]

Buyya R., 2011, Proceedings of the 2011 International Conference on Cloud and Service Computing (CSC 2011), P1, DOI 10.1109/CSC.2011.6138522

[5] Achieving efficiency, quality of service and robustness in multi-organizational Grids [J].

Farooq, Umar ;

Majumdar, Shikharesh ;

Parsons, Eric W. .

JOURNAL OF SYSTEMS AND SOFTWARE, 2009, 82 (01) :23-38

[6] A distributed resource management architecture that supports advance reservations and co-allocation [J].

Foster, I ;

Kesselman, C ;

Lee, C ;

Lindell, B ;

Nahrstedt, K ;

Roy, A .

IWQOS '99: 1999 SEVENTH INTERNATIONAL WORKSHOP ON QUALITY OF SERVICE, 1999, :27-36

[7]

Grossman Robert L., 2009, IT Professional, V11, P23, DOI 10.1109/MITP.2009.40

[8]

Gulati A., 2011, P 3 USENIX C HOTCLOU, P3

[9]

Hongya Wang, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011), P197, DOI 10.1109/FSKD.2011.6019496

[10]

Melendez JO, 2012, J INTERNET TECHNOL, V13, P853

← 1 2 →