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Hybrid Cloud Scheduling Method for Cloud Bursting

Chunlin L., Layuan L.

Fundamenta Informaticae

2015

Vol. 138, nr 4

435--455

In the paper, we consider the hybrid cloud model used for cloud bursting, when the computational capacity of the private cloud provider is insufficient to deal with the peak number of customers’ applications, the private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper proposes the model and algorithm of hybrid cloud scheduling optimization for cloud bursting. Public cloud providers and private cloud users communicate by the hybrid cloud marketplace. The hybrid cloud scheduling optimization is conducted at different levels. According to the model formulation and mathematic solutions of hybrid cloud scheduling, hybrid cloud scheduling algorithms for cloud bursting are proposed, which includes the routines of public cloud optimization, private cloud application optimization and private cloud job optimization. In the simulations, compared with other related algorithm, our proposed hybrid cloud scheduling algorithms achieve the better performance.

A Pricing Approach For Grid Resource Scheduling With QoS Guarantees

Chunlin L., Layuan L.

Fundamenta Informaticae

2007

Vol. 76, nr 1-2

59-73

The paper is targeted at concerning pricing approach for grid resource scheduling with QoS guarantees. The two major parties in Grid, namely, resource consumers who submit various applications, and resources providers who share their resources, usually have different motivations when they join the Grid. These incentives are presented by objective functions in scheduling. Economic grid QoS scheduling algorithm adopt both application-centric and resource-centric scheduling objective function aim to optimize the performance of each individual grid user and the performance of the grid resources. The economic cost and profit are considered by grid users and resource providers respectively. Objective functions and QoS scheduling optimization algorithms are proposed. QoS scheduling optimization is decomposed into two sub optimizations of grid user's cost and grid resource provider's profit by utilizing dynamic programming. QoS scheduling algorithm is an interactive process in economic market coordinating grid users and grid resource providers to achieve optimal QoS scheduling. Experiments are to compare the proposed economic QoS scheduling with three partial optimisation approaches, which only consider one criterion.