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Abstract
Cloud computing technology facilitates computing-intensive applications by providing virtualized resources which can be dynamically provisioned. However, user’s requests are varied according to different applications’ computation ability needs. These applications can be presented as meta-job of user’s demand. The total processing time of these jobs may need data transmission time over the Internet as well as the completed time of jobs to execute on the virtual machine must be taken into account. In this paper, we presented V-heuristics scheduling algorithm for allocation of virtualized network and computing resources under user’s constraint which applied into a service-oriented resource broker for jobs scheduling. This scheduling algorithm takes into account both data transmission time and computation time that related to virtualized network and virtual machine. The simulation results are compared with three different types of heuristic algorithms under conventional network or virtual network conditions such as MCT, Min-Min and Max-Min. e evaluate these algorithms within a simulated cloud environment via an abilenenetwork topology which is real physical core network topology. These experimental results show that V-heuristic scheduling algorithm achieved significant performance gain for a variety of applications in terms of load balance, Makespan, average resource utilization and total processing time.
Highlights
Cloud computing technology is a new paradigm for utility virtualized resources, designed for end users in a dynamic computing environment to provide reliable and guaranteed services [1,2,3,4]
The simulation results are compared with three different types of heuristic algorithms under conventional network or virtual network conditions such as Minimum Completion Time (MCT), Minimum Completion Time (Min-Min) and Maximum-Minimum Completion Time (Max-Min). e evaluate these algorithms within a simulated cloud environment via an abilene network topology which is real physical core network topology
The virtual network and virtual machine can efficiently improve the performance over the cloud computation applications
Summary
Cloud computing technology is a new paradigm for utility virtualized resources, designed for end users in a dynamic computing environment to provide reliable and guaranteed services [1,2,3,4]. In this environment, on-demand services of computing-intensive applications can be increased by user requests. According to the number of users rapidly increasing, the virtualization is one of main techniques to improve the utilization of physical resources in cloud environments [5] It allows abstraction and isolation of underlying physical resource and reduces the number of hardware equipment. VMs can be designed by increasing or decreasing the CPU power and/or the number of CPUs [6]
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