Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
BOINC: A System for Public-Resource Computing and Storage
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Cluster Computing on the Fly: resource discovery in a cycle sharing peer-to-peer system
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
Hi-index | 0.00 |
The scalability and computing power of large-scale computational platforms has made them attractive for hosting compute-intensive time-critical applications. Many of these applications are composed of computational tasks that require specific deadlines to be met for successful completion. In this paper, we show that combining redundant scheduling with deadline-based scheduling in these systems leads to a fundamental tradeoff between throughput and fairness. We propose a new scheduling algorithm called Limited Resource Earliest Deadline (LRED) that couples redundant scheduling with deadline-driven scheduling in a flexible way by using a simple tunable parameter to exploit this tradeoff. Our evaluation of LRED shows that LRED provides a powerful mechanism to achieve desired throughput or fairness under high loads and low timeliness environments.