A reliability-aware value-based scheduler for dynamic multiprocessor real-time systems

Swaminathan, Sundararaman; Manimaran, G.

doi:10.1109/ipdps.2002.1016485

Cited by 7 publications

(4 citation statements)

References 10 publications

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“…The FARM methodology combines feedback control based scheduling, path based paradigm, and value based scheduling [17], [18], [19]. Figure 5 shows the schematic of the proposed methodology wherein the control variables, namely, the manipulated variable, controlled variable, set point, and the actuation mechanisms are identified.…”

Section: Our Farm Methodologymentioning

confidence: 99%

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FARM: a feedback-based adaptive resource management for autonomous hot-spot convergence system

Swaminathan

Manimaran²

2002

Proceedings 16th International Parallel and Distributed Processing Symposium

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In this paper, we present a novel and comprehensive resource management solution for the autonomous hot-spot convergence system (AHSCS) that uses sensor web. This solution is in response to a call for solution at the WPDRTS 2002. The proposed solution involves system analysis and design and developing a new resource management methodology, which we call Feedback-based Adaptive Resource Management (FARM). The FARM methodology combines the advantages of feedback control scheduling, path-based scheduling, value-based scheduling, and survivability strategies to provide dependable (predictable, reliable, and secure) services to the AHSCS.

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Section: Our Farm Methodologymentioning

confidence: 99%

“…Since AHSCS has many transient and Quasicontinuous paths, dynamic value-based fault-tolerant scheduling (such as the one proposed in [19]) needs to be developed.…”

Section: A Value-based Performability Index and Schedulingmentioning

confidence: 99%

FARM: a feedback-based adaptive resource management for autonomous hot-spot convergence system

Swaminathan

Manimaran²

2002

Proceedings 16th International Parallel and Distributed Processing Symposium

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“…Thus, value-based scheduling is a decision problem involving the choice of tasks to execute so that the overall system value is maximized [2]. However, like many other practical instances of scheduling, this problem is also intractable and hence several heuristics have been proposed [3][4] [5].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Value-Based Scheduler and Its RT-Linux Implementation

Swaminathan

Manimaran

2002

High Performance Computing — HiPC 2002

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Abstract. In dynamic real-time systems, value-based scheduling aims to achieve graceful degradation during overloads, in addition to maintaining a high schedulability during normal and underloads. The objective of this paper is twofold: (1) to propose an adaptive value-based scheduler for multiprocessor real-time systems aimed at maintaining a high system value with less deadline misses, and (2) to present the implementation of the proposed scheduler in a Linux based real-time operating system, RT-Linux, which in its current form does not employ a notion of task value. We evaluate the performance of the proposed scheduler in terms of two performance metrics, namely, "value ratio" and "success ratio" through both simulation and implementation.

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“…Thus, value-based scheduling is a decision problem involving the choice of tasks to execute so that the overall system value is maximized [7]. However, this problem is also intractable and several heuristics have been proposed [8,9].…”

Section: Overload Handling In Real-time Systemsmentioning

confidence: 99%

Value-based scheduling in real-time systems

Sivasubramanian¹

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A reliability-aware value-based scheduler for dynamic multiprocessor real-time systems

Cited by 7 publications

References 10 publications

FARM: a feedback-based adaptive resource management for autonomous hot-spot convergence system

FARM: a feedback-based adaptive resource management for autonomous hot-spot convergence system

An Adaptive Value-Based Scheduler and Its RT-Linux Implementation

Value-based scheduling in real-time systems

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