Earticle

According to jamming equation, the characteristics of array, this paper combined with jamming time-window, jamming efficiency ratio, jamming satisfaction, established multi-target fuzzy cloud computing jamming resource scheduling model with time-window, through the simulation, proved the scientificity and rationality of the method. The results showed, the improved firefly algorithm can preferably allocate the resources in cloud computing model, the effect of prediction model time is more close to actual time, can efficiently limit the possibility of falling into local convergence, the optimal solution’s time of objective function value is shorten which meet the user’s needs more.

With the increasing use of cloud services, for both providers and users, saving energy and using needed resources regardless of time and place have got outmost importance. Resource provisioning in the cloud providers has come along availability of workloads in a given time. Most cloud providers conduct inquiries with a limited amount of resources that may be cause to reject the request of customers at the peak of workloads. Cloud federation is an approach to share resources, enhance the scalability and availability. High energy consumption is one of the current challenges for cloud providers; also it should be discussed and researched about providers’ profit as an important issue. We have presented an approach in this paper to reduce power consumption for IaaS Providers, by choosing the most appropriate host and allocating the best virtual machine which leads to satisfy users requests, save energy and reduce the cost of resources. Simulation results show that the proposed approach, compared to the other similar approaches, causes to increase utilization and turns off idle servers to decrease consumed power which followed by an increase in providers’ profit.

Cloud computing is the delivers the computing services over the internet. Cloud services help individuals and organization to use data that are managed by third parties or another person at remote locations. Virtual Machine (VM) is an emulation of a particular computer system. In cloud computing, Virtual machine migration is a useful tool for migrating Operating System instances across multiple physical machines. It is used to load balancing, fault management, low-level system maintenance and reduce energy consumption. There are various techniques and parameters available for VM migration. This paper presents the various virtual machine migration techniques.