Workload-Ahead-Driven Online Energy Minimization Techniques for Battery-Powered Embedded Systems with Time-Constraints
Workload-Ahead-Driven Online Energy Minimization Techniques for Battery-Powered Embedded Systems with Time-Constraints
This paper proposes a new online voltage scaling (VS) technique for battery-powered embedded systems with real-time constraints. The VS technique takes into account the tasks execution times and discharge currents to further reduce the battery charge consumption when compared to the recently reported slack forwarding technique, whilst maintaining low online complexity of O(1). Furthermore, we investigate the impact of online rescheduling and remapping on the battery charge consumption for tasks with data dependency which has not been explicitly addressed in the literature and propose a novel rescheduling/remapping technique. We demonstrate and compare the efficiency of the presented techniques using seven real-life benchmarks and numerous automatically generated examples.
Cai, Yuan
f55ca910-e70a-467d-8fa2-063609bcdfc0
Schmitz, Marcus T.
76acfda5-3d49-47a0-a38b-a73273f2ba21
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Reddy, Sudhakar M.
de17466f-a41a-4ec1-b148-a0105a2db68d
2005
Cai, Yuan
f55ca910-e70a-467d-8fa2-063609bcdfc0
Schmitz, Marcus T.
76acfda5-3d49-47a0-a38b-a73273f2ba21
Al-Hashimi, Bashir M.
0b29c671-a6d2-459c-af68-c4614dce3b5d
Reddy, Sudhakar M.
de17466f-a41a-4ec1-b148-a0105a2db68d
Cai, Yuan, Schmitz, Marcus T., Al-Hashimi, Bashir M. and Reddy, Sudhakar M.
(2005)
Workload-Ahead-Driven Online Energy Minimization Techniques for Battery-Powered Embedded Systems with Time-Constraints.
IFIP International Conference on Very Large Scale Integration (VLSI-SOC), Australia.
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Conference or Workshop Item
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Abstract
This paper proposes a new online voltage scaling (VS) technique for battery-powered embedded systems with real-time constraints. The VS technique takes into account the tasks execution times and discharge currents to further reduce the battery charge consumption when compared to the recently reported slack forwarding technique, whilst maintaining low online complexity of O(1). Furthermore, we investigate the impact of online rescheduling and remapping on the battery charge consumption for tasks with data dependency which has not been explicitly addressed in the literature and propose a novel rescheduling/remapping technique. We demonstrate and compare the efficiency of the presented techniques using seven real-life benchmarks and numerous automatically generated examples.
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Published date: 2005
Additional Information:
Event Dates: October, 2005
Venue - Dates:
IFIP International Conference on Very Large Scale Integration (VLSI-SOC), Australia, 2005-10-01
Organisations:
Electronic & Software Systems
Identifiers
Local EPrints ID: 261059
URI: http://eprints.soton.ac.uk/id/eprint/261059
PURE UUID: ca84ea08-ea8f-47fa-9642-73a3f4cba1a9
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Date deposited: 14 Jul 2005
Last modified: 14 Mar 2024 06:46
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Contributors
Author:
Yuan Cai
Author:
Marcus T. Schmitz
Author:
Bashir M. Al-Hashimi
Author:
Sudhakar M. Reddy
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