A note on software tools and techniques for monitoring and prediction of cloud services

Author:

Ranjan Rajiv1,Buyya Rajkumar2,Leitner Philipp3,Haller Armin4,Tai Stefan5

Affiliation:

1. Senior Research Scientist and CSIRO Julius Fellow; CSIRO CCI Division; GPO Box 664 Canberra ACT 2601

2. Director, Cloud Computing and Distributed Systems (CLOUDS) Lab, Department of Computing and Information Systems; The University of Melbourne; Australia

3. University of Zurich, Department of Informatics; Binzmühlestrasse 14 CH-8050 Zurich Switzerland

4. Research Scientist; CSIRO CCI Division; GPO Box 664 Canberra ACT 2601

5. Institute AIFB - Building 11.40; Karlsruhe Institute of Technology; D-76128 Karlsruhe

Publisher

Wiley

Subject

Software

Reference19 articles.

1. Runtime measurements in the cloud: observing, analyzing, and reducing variance;Schad;Proceedings of the VLDB Endowment,2010

2. Alhamazani K Ranjan R Mitra K Jayaraman P Rabhi F Khan SU Guabtni A Bhatnagar V An overview of the commercial cloud monitoring tools: research dimensions, design issues, and state-of-the-art Springer Journal of Computing 2014

3. The network weather service: a distributed resource performance forecasting service for metacomputing;Wolski;Future Generation Computer Systems,1999

4. Zhang X Freschl J Schopf JM A performance study of monitoring and information services for distributed systems Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing (HPDC '03) IEEE Computer Society Washington, DC, USA 2003 270 281

5. A taxonomy of grid monitoring systems;Zanikolas;Future Generation Computer Systems,2005

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