| Popis: |
In this digital world, clouds are one of the valuable resources which are widely available everywhere. In fulfilling services, it plays a vital role. Cloud is an optimum service provider in all areas. However, to satisfy the emergency requirement of resource allocation, clouds face many execution and design issues. Increasing demands of services in all areas affects the emergency service requirements due to bandwidth bottleneck, network performance problem, network size, and communication. The main issue is reducing latency produced by the processing time for queues by machines and other network intermediate processes. In the process of delay minimization, the initial stage is admission of the request, which will be scheduled and lined up it in an emergency queue. This process reduces the key time of handling requests. To fulfill this emergency resource requirement, a resource scheduling and queuing method is proposed. The algorithm is organized in two stages, where the priorities of a service will be considered for queuing and scheduling. The resource or service allocation will be carried out in a faster way with the combination of the gray wolf and the multidimensional queuing algorithms. |
