A CBR Approach to Allocate Computational Resources Within a Cloud Platform

Cloud Computing paradigm continues growing very quickly. The underlying computational infrastructure has to cope with this increase on the demand and the high number of end-users. To do so, platforms usually use mathematical models to allocate the computational resource among the offered services to the end-user. Although these mathematical models are valid and they are widely extended, they can be improved by means of use intelligent techniques. Thus, this study proposes an innovative approach based on an agent-based system that integrated a case-based reasoning system. This system is able to dynamically allocate resources over a Cloud Computing platform.

[1]  Salvatore Venticinque,et al.  A Cloud Agency for SLA Negotiation and Management , 2010, Euro-Par Workshops.

[2]  Geoffrey C. Fox,et al.  Comparison of Multiple Cloud Frameworks , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[3]  Vanish Talwar,et al.  No "power" struggles: coordinated multi-level power management for the data center , 2008, ASPLOS.

[4]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[5]  Buqing Cao,et al.  A Service-Oriented Qos-Assured and Multi-Agent Cloud Computing Architecture , 2009, CloudCom.

[6]  Naixue Xiong,et al.  A game-theoretic method of fair resource allocation for cloud computing services , 2010, The Journal of Supercomputing.

[7]  Juan M. Corchado,et al.  Constructing deliberative agents with case‐based reasoning technology , 2003, Int. J. Intell. Syst..

[8]  Xi He,et al.  Cloud Computing: a Perspective Study , 2010, New Generation Computing.

[9]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[10]  Jean-Marc Menaud,et al.  SLA-Aware Virtual Resource Management for Cloud Infrastructures , 2009, 2009 Ninth IEEE International Conference on Computer and Information Technology.

[11]  Kai Jander,et al.  A Middleware for Managing Non-Functional Requirements in Cloud PaaS , 2014, 2014 International Conference on Cloud and Autonomic Computing.

[12]  Li Shen,et al.  A Novel Hardware Assisted Full Virtualization Technique , 2008, 2008 The 9th International Conference for Young Computer Scientists.

[13]  Paul Fisher,et al.  Cloud Computing: Assessing Azure, Amazon EC2, Google App Engine and Hadoop for IT Decision Making and Developer Career Growth , 2010 .

[14]  Kwang Mong Sim,et al.  Agent-Based Cloud Computing , 2012, IEEE Transactions on Services Computing.

[15]  Elizabeth Chang,et al.  Conceptual SLA framework for cloud computing , 2010, 4th IEEE International Conference on Digital Ecosystems and Technologies.

[16]  Xue-Jie Zhang,et al.  Comparison of open-source cloud management platforms: OpenStack and OpenNebula , 2012, 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery.

[17]  Xianghua Xu,et al.  RAS-M: Resource Allocation Strategy Based on Market Mechanism in Cloud Computing , 2009, 2009 Fourth ChinaGrid Annual Conference.

[18]  Raouf Boutaba,et al.  Cloud computing: state-of-the-art and research challenges , 2010, Journal of Internet Services and Applications.

[19]  Rajkumar Buyya,et al.  Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing , 2012, Future Gener. Comput. Syst..

[20]  Nagarajan Kandasamy,et al.  Power and performance management of virtualized computing environments via lookahead control , 2008, 2008 International Conference on Autonomic Computing.

[21]  Yong Yu,et al.  A Synthetical Performance Evaluation of OpenVZ, Xen and KVM , 2010, 2010 IEEE Asia-Pacific Services Computing Conference.

[22]  Jean-Marc Menaud,et al.  Autonomic virtual resource management for service hosting platforms , 2009, 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing.

[23]  Domenico Talia,et al.  Cloud Computing and Software Agents: Towards Cloud Intelligent Services , 2011, WOA.

[24]  Javier Bajo,et al.  REPLANNING MECHANISM FOR DELIBERATIVE AGENTS IN DYNAMIC CHANGING ENVIRONMENTS , 2008, Comput. Intell..

[25]  Domenico Talia,et al.  Clouds Meet Agents: Toward Intelligent Cloud Services , 2012, IEEE Internet Computing.

[26]  Luo Junzhou,et al.  Cloud computing:architecture and key technologies , 2011 .

[27]  Rajkumar Buyya,et al.  Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges , 2010, PDPTA.

[28]  Kwang Mong Sim,et al.  Cloudle: An Ontology-Enhanced Cloud Service Search Engine , 2010, WISE Workshops.

[29]  David Chiu.  Elasticity in the cloud , 2010, ACM Crossroads.