Scheduling for Responsive Grids
Abstract
In the 70s, the transition from batch systems to interactive computing fueled the widespread diffusion of advances in integrated circuit technology. Grids are facing a similar challenge, namely the seamless integration of the grid power into everyday use. One critical component for this integration is responsiveness, the capacity to support on-demand computing and interactivity. A large contributor to responsiveness is the Quality of Service (QoS) for the job execution time. Grid scheduling is involved at two levels in order to provide QoS: the policy level and the implementation level. The main contributions of this paper are as follows. First, we present a detailed analysis of the performance of the EGEE grid with respect to responsiveness. Second, we define and demonstrate a virtualization scheme, which achieves QoS, schedulability analysis, and coexistence of QoS and best-effort poli- cies, within a brokering-based system organized as a federation of batch-scheduled clusters. Last, we examine two user-level schedulers located between the general scheduling layer and the application layer. These are the DIANE (DIstributed ANal- ysis Environment) framework, a general-purpose overlay system, and a specialized, embedded scheduler for gPTM3D, an interactive medical image analysis application.
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