Affiliations: College of Information Technology, Hebei University of Economics and Business, Shijiazhuang, Hebei, China
Correspondence:
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Corresponding author: Zhijuan Du, College of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China. E-mail:[email protected]
Abstract: Many factors give rise to the diffusion of basic computing resources in
cloud computing environment, such as the distribution, shareability and
heterogeneousness of cloud platform and the loose coupling, time variability
and randomness of load. Therefore, the paper studies the scheduling problem
of basic computing resources in cloud computing environments from the
perspective of IaaS resource provider. First, the paper proposes the
resource deployment architecture on the basis of mobile Agent paradigm.
Second, the paper designs a ``searching-decision making-executing''
multistage iterative scheduling model for catching the local features of
workload under the constraints of real time and fine-grained. Third, the
paper introduces the Skyline computing idea to establish the selecting
strategy by using the optimal assigning and scheduling model. Finally, in
comparison with RoundRobin Scheduling Algorithm and Utilization Perception
Algorithm, the proposed schemes own better performance.
Keywords: Dispersion cloud resources, scheduling, mobile agent, skyline computational
