International Journal of Communications, Network and System Sciences

Volume 4, Issue 12 (December 2011)

ISSN Print: 1913-3715   ISSN Online: 1913-3723

Google-based Impact Factor: 1.39  Citations  

Towards Cloud Management by Autonomic Manager Collaboration

HTML  Download Download as PDF (Size: 2052KB)  PP. 790-802  
DOI: 10.4236/ijcns.2011.432097    4,591 Downloads   8,638 Views  Citations

Affiliation(s)

.

ABSTRACT

The management of clouds comprised of hundreds of hosts and virtual machines present challenging problems to administrators in ensuring that performance agreements are met and that resources are efficiently utilized. Automated approaches can help in managing such environments. Autonomic managers using policy-based management can provide a useful approach to such automation. We outline how collections of collaborating autonomic managers in cloud can be a step towards better management of clouds. We describe how a hierarchy of policy-based autonomic managers can collaborate using messages. The messages and when to communicate is inferred automatically from the policies given to the managers. We evaluate the approach via a prototype inspired by a cloud virtualized infrastructure and show how collaboration between managers in a hierarchy can improve the response time of a web server and avoid service level agreement violations. Results of three different scenarios shows the importance of collaboration between managers at different authority levels and how this collaboration can help to increase efficiency of current infrastructures.

Share and Cite:

O. Mola and M. Bauer, "Towards Cloud Management by Autonomic Manager Collaboration," International Journal of Communications, Network and System Sciences, Vol. 4 No. 12A, 2011, pp. 790-802. doi: 10.4236/ijcns.2011.432097.

Cited by

[1] A hierarchical decentralized architecture to enable adaptive scalable virtual machine migration
… Practice and Experience, 2023
[2] SHDF-A Scalable Hierarchical Distributed Framework for Data Centre Management
2017
[3] Self-adaptive Decision Making for the Management of Component-Based Applications
On the Move to Meaningful Internet Systems. OTM 2017 Conferences, 2017
[4] A Study of a Multi-Agent Organizational Framework with Virtual Machine Clusters as the Unit of Granularity in Cloud Computing
2016
[5] Autonomic Cloud Services to Enhance Secure Data Services for Digital Library
American Research Journal of Computer Science and Information Technology, 2015
[6] SUDPARIS et L'UNIVERSITÉ PIERRE ET MARIE CURIE
Thesis, 2014
[7] End-to-end security architecture for cloud computing environments
Thèse, 2014
[8] A Hierarchical Self-Healing SLA for Cloud Computing
International Journal of Digital Information and Wireless Communications (IJDIWC), 2014
[9] A Hierarchical Self-X SLA for Cloud Computing.
International Journal of Digital Content Technology & its Applications, 2014
[10] A hierarchical self-X SLA for cloud computing
International Journal of Digital Content Technology and its Applications, 2014
[11] HS-SLA: A Hierarchical Self-Healing SLA Model for Cloud Computing
The Second International Conference on Informatics Engineering & Information Science (ICIEIS2013), 2013
[12] Controlling Performance and Cost of Clustered Applications in Large Shared Virtual Environments
2012
[13] Towards an agent-based symbiotic architecture for autonomic management of virtualized data centers
2012
[14] Self-Defending Clouds: Myth and Realities⋆
2012
[15] VESPA: multi-layered self-protection for cloud resources
Proceedings of the 9th international conference on Autonomic computing, 2012
[16] Self-management of Systems Built from Adaptable Components
Doctoral dissertation, INSTITUTO SUPERIOR TéCNICO, 2012
[17] Policy-Based Autonomic Collaboration for Cloud Management
ICCGI 2012, The Seventh International Multi- …, 2012
[18] Self-Defending Clouds: Myth and Realities?
M Lacoste, A Wailly, H Debar - C&ESAR 2012, 2012

Copyright © 2025 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.