A genetic: algorithm approach to cost-based multi-QoS job scheduling in cloud computing environment
Proceedings of the International Conference & Workshop on Emerging Trends in Technology
Honey bee behavior inspired load balancing of tasks in cloud computing environments
Applied Soft Computing
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The existing infrastructure of modern civilization is based on some utility services, which are on pay per user basis. As for example, the utility services like water, gas, electricity etc are chargeable per user. Similarly, the agenda of cloud computing is to provide on demand IT resources on pay per user basis. These IT resources consist of different web services. Accessing and scheduling of these web services is always a challenging job. This paper proposes a new paradigm to provide these web services to the end users. In this paper, we have simulated the nature of honey bee colony with the use of fuzziness to capture all the possible run time entities.