A Stepwise Self-adaptive Model for Improving Cloud Efficiency Based on Multi-Agent Features
2College of Computers and Information Sciences, King Saud University, Saudi Arabia
3Mathematics and Computer Science Department , Faculty of Science, Menoufia University, Shebin El-Kom, Egypt.
Abstract—Today, the multi-agent systems are the most common systems that have intelligent behavior and able to adapt features based on the environmental changes. On the other side, cloud applications enable the stakeholders to customize their resources and software they need based on the requested domain. These applications face many challenges such as how to handle the changes of the stakeholder requirements at run-time, how to reconfigure the constituted architecture dynamically to be in consistency with the new services, and how to cope with the highly inherent expensive cost. To deal with these challenges, we proposed a new model that uses basic agent features for enhancing the cloud infrastructure functionalities by reconfiguring their allocated resources and software at run-time. The proposed model is composed of three levels. The first level is the cloud level which via its functionalities the consistent image that maps the user’s requests through its manual components can be created & established. The second level is the intermediate level, which is responsible for two issues: playing the role of connector between the cloud level and the multi-agent level, and verifying the consistent of outputs for both of the upper and lower levels. The third level is the multi-agent, which is responsible for improving the quality of the constituted cloud images by co-operating the information, reasoning, learning and mobile agents. Finally, the urban transportation system is used to proof the applicability and usage of the proposed model.
Index Terms—Cloud computing, multi-agent system (MAS), resource allocation.
Cite: Amr Tolba, Ahmed Ghoneim, "A Stepwise Self-adaptive Model for Improving Cloud Efficiency Based on Multi-Agent Features," Journal of Software vol. 10, no. 8, pp. 1037-1044, 2015.
May 03, 2016 News!
Papers published in JSW Vol. 11, No. 1- Vol. 11, No. 12 have been indexed by DBLP. [Click]
Jan 05, 2017 News!
[CFP] 2017 the annual meeting of JSW Editorial Board, ICCSM 2017, will be held in Maldives, July 4-6, 2017. [Click]
Feb 27, 2017 News!
Vol 12, No. 1 has been published with online version 6 original aritcles from 3 countries are published in this issue. [Click]
Sep 21, 2016 News!
Vol.11, No.8 has been indexed by EI (Inspec). [Click]
Nov 17, 2015 News!
Welcome Prof. Karim El Guemhioui from Canada to join the Editorial board of JSW. [Click]