Jan. 28, 2013 to Jan. 30, 2013
A. K. Das , Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh
T. Adhikary , Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh
M. A. Razzaque , Dept. of Comput. Sci. & Eng., Univ. of Dhaka, Dhaka, Bangladesh
Choong Seon Hong , Sch. of Electron. & Inf., Kyung Hee Univ., Suwon, South Korea
Cloud Computing has become the most popular distributed computing environment because it does not require any user level management and controlling on the low-level implementation of the system. However, efficient resource provisioning is a key challenge for cloud computing and resolving such kind of problem can reduce under or over utilization of resources, increase user satisfaction by serving more users during peak hours, reduce implementation cost for providers and service cost for users. Existing works on cloud computing focuses to accurate estimation of the capacity needs, static or dynamic VM (Virtual Machine) creation and scheduling. But significant amount of time is required to create and destroy VMs which could be used to serve more user requests. In this paper, an adaptive QoS (Quality of Service) aware VM provisioning mechanism is developed that ensures efficient utilization of the system resources. The VM for similar type of requests has been recycled so that the VM creation time can be minimized and used to serve more user requests. In the proposed model, QoS is ensured by serving all the tasks within the requirements described in SLA. Tasks are separated using multilevel queue and the most urgent task is given high priority. The simulation-based experimental results shows that a great number of tasks can be served compared to others which will help to satisfy customers during the peak hour.
Quality of service, Cloud computing, Virtual machining, Computational modeling, Resource management, Servers, Adaptation models,
A. K. Das, T. Adhikary, M. A. Razzaque, Choong Seon Hong, "An intelligent approach for virtual machine and QoS provisioning in cloud computing", ICOIN, 2013, The International Conference on Information Networking 2014 (ICOIN2014), The International Conference on Information Networking 2014 (ICOIN2014) 2013, pp. 462-467, doi:10.1109/ICOIN.2013.6496423