Abstract
In this research a scenario is assumed where periodic real-time jobs are being run on a heterogeneous cluster of computers and new aperiodic parallel real-time jobs, modelled by directed acyclic graphs, arrive at the system dynamically. In the scheduling scheme presented in this paper, a global scheduler situated within the cluster schedules new jobs onto the computers by modelling their spare capabilities left by existing periodic jobs. Admission control is introduced so that new jobs are rejected if their deadlines cannot be met under the precondition of still guaranteeing the real-time requirements of existing jobs. Each computer within the cluster houses a local scheduler, which uniformly schedules both periodic job instances and the subtasks in each parallel real-time job using an early deadline first policy. The modelling of the spare capabilities is optimal in the sense that once a new task starts running on a computer, it will utilise all the spare capability left by the periodic real-time jobs and its finish time will be the earliest possible. The performance of the proposed modelling and scheduling is evaluated through extensive simulation; the results show that the system utilisation is significantly enhanced, while the real-time requirements of the existing jobs remain guaranteed.
Original language | English |
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Pages (from-to) | 165-177 |
Number of pages | 13 |
Journal | International Journal of High Performance Computing and Networking |
Volume | 2 |
Issue number | 2-4 |
DOIs | |
Publication status | Published - 2004 |
Keywords
- cluster computing
- DAG real-time jobs
- dynamic scheduling
- heterogeneous clusters
- performance prediction
- periodic real-time jobs
- spare capabilities
ASJC Scopus subject areas
- Software
- Hardware and Architecture
- Computer Networks and Communications