出版社：Faculty of Humanities, Kaunas University of Technology
其他摘要：This paper focuses on SaaS-type Hybrid Cloud architecture, where computing resources in Private Cloud are limited in quantity. In this case, the workload balancing problem must be solved, since some projects are lost because of under provisioning of Private Cloud resources, as well as costly resources are wasted during nonpeak periods. The workload balancing algorithm for Hybrid Cloud is proposed, assuming that a certain part of incoming projects in the workload can be postponed for a short time period. This algorithm is adapted for a rendering service to ensure its Cloud-based delivery. The cash flow model is built to determine the adequate quantity of computing resources in Private Cloud if the demand of resources is variable and has some pattern in time. The implementation of a proposed strategy for workload balancing is practically worth, since the same flow of incoming projects is serviced with a smaller amount of own computing resources, thus reducing their downtime. For this purpose, an experimental study of the expected effect is presented. DOI: http://dx.doi.org/10.5755/j01.eee.20.2.2044
