Preemptive scheduling under time and resource constraints
IEEE Transactions on Computers - Special Issue on Real-Time Systems
Allocating Modules to Processors in a Distributed System
IEEE Transactions on Software Engineering
Some Results of the Earliest Deadline Scheduling Algorithm
IEEE Transactions on Software Engineering
Scheduling Processes with Release Times, Deadlines, Precedence and Exclusion Relations
IEEE Transactions on Software Engineering
An extendible approach for analyzing fixed priority hard real-time tasks
Real-Time Systems
On non-preemptive scheduling of recurring tasks using inserted idle times
Information and Computation
IEEE Transactions on Computers
Assignment and Scheduling Communicating Periodic Tasks in Distributed Real-Time Systems
IEEE Transactions on Software Engineering
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Heuristic Algorithms for Scheduling Independent Tasks on Nonidentical Processors
Journal of the ACM (JACM)
Dynamic mapping of a class of independent tasks onto heterogeneous computing systems
Journal of Parallel and Distributed Computing - Special issue on software support for distributed computing
How to solve it: modern heuristics
How to solve it: modern heuristics
Scheduling Real-Time Systems with End-to-End Timing Constraints Using the Distributed Pinwheel Model
IEEE Transactions on Computers
Journal of Parallel and Distributed Computing
Efficient Scheduling Algorithms for Real-Time Multiprocessor Systems
IEEE Transactions on Parallel and Distributed Systems
Static Processor Allocation in a Soft Real-Time Multiprocessor Environment
IEEE Transactions on Parallel and Distributed Systems
Heterogeneous Computing: Goals, Methods, and Open Problems
HiPC '01 Proceedings of the 8th International Conference on High Performance Computing
Task Matching and Scheduling in Heterogeneous Systems Using Simulated Evolution
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Performance of Scheduling Scientific Applications with Adaptive Weighted Factoring
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Accommodating QoS Prediction in an Adaptive Resource Management Framework
IPDPS '00 Proceedings of the 15 IPDPS 2000 Workshops on Parallel and Distributed Processing
Scheduling Resources in Multi-User, Heterogeneous, Computing Environments with SmartNet
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
An Overview of MSHN: The Management System for Heterogeneous Networks
HCW '99 Proceedings of the Eighth Heterogeneous Computing Workshop
Segmented Min-Min: A Static Mapping Algorithm for Meta-Tasks on Heterogeneous Computing Systems
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Mapping subtasks with multiple versions on an ad hoc grid
Parallel Computing - Heterogeneous computing
Static allocation of resources to communicating subtasks in a heterogeneous ad hoc grid environment
Journal of Parallel and Distributed Computing - Special issue: Algorithms for wireless and ad-hoc networks
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Real-time applications continue to increase in importance as they are employed in various critical areas, such as command and control systems. These applications have traditionally required custom-made systems to execute them. Recently, with the widespread use of increasingly powerful commercial off-the-shelf (COTS) products, some real-time system designers have started a shift from custom development to COTS-based systems to achieve lower costs and more flexible systems. This research investigates the problem of allocating real-time applications to a set of COTS heterogeneous machines connected together by a COTS high-speed network. The heuristics were implemented on the High Performance Distributed Computing Program's (HiPer-D) Naval Surface Warfare Center (NSWC) testbed. At the specification of NSWC, the goal of this study is to design static resource allocation heuristics that balance the utilization of the computation and network resources in the HiPer-D system based on the system information provided. The broader goal is to maximize the time before dynamic reallocation is required for managing an increased workload at runtime.