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In the era of cloud computing and big data, virtualization is gaining great popularity in storage systems. Since multiple guest virtual machines (DomUs) are running on a single physical device, disk I/O fairness among DomUs and aggregated throughput remain the challenges in virtualized environments. Although several methods have been developed for disk I/O performance virtualization among multiple...
It is a challenging task that enables performance isolation while providing performance guarantees among applications that share storage infrastructure. This paper presents admission-control-based proportional allocation (APA), a novel I/O request scheduler that combines the admission control of worst-case resources reserved with the proportional resources allocation to manage the bandwidth resources...
In this paper, we propose a new framework which integrates the optimal share policy with reservation-based algorithms to provide an improved allocating resource reservations for real-time applications in Vehicular Application Specific Operating Systems. While the reservation-based scheduling algorithm realizes performance isolation of real-time applications, optimal share resource allocation policy...
With the rapid proliferation of hardware devices, cluster computing has encountered the problem of heterogeneous resources. We have constructed a multi-cluster system that works with and without storage devices, and evaluated the system performance. We dispatch jobs with the strategy we propose to make the best use of system resources. In this paper we introduce this new scheduling system based on...
As Grid networks grows, the complexity of resource management in Grid networks dramatically increases. To manage the Grid resources efficiently, policy based resource management system is suitable. However, the policy which made at a moment could not be appropriate to other time because the condition of the grid resources with time space changes. Thus, in this paper, we propose asynchronous policy-based...
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