Journal ArticleDOI
Adaptive energy-efficient scheduling for real-time tasks on DVS-enabled heterogeneous clusters
TLDR
A novel scheduling strategy-adaptive energy-efficient scheduling or AEES-for aperiodic and independent real-time tasks on heterogeneous clusters with dynamic voltage scaling for energy conservation and schedulability is proposed.About:
This article is published in Journal of Parallel and Distributed Computing.The article was published on 2012-06-01. It has received 89 citations till now. The article focuses on the topics: Dynamic voltage scaling & Scheduling (computing).read more
Citations
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Journal ArticleDOI
Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds
TL;DR: This paper proposes a novel rolling-horizon scheduling architecture for real-time task scheduling in virtualized clouds, and develops a novel energy-aware scheduling algorithm named EARH forreal-time, aperiodic, independent tasks.
Journal ArticleDOI
Survey of Techniques and Architectures for Designing Energy-Efficient Data Centers
Junaid Shuja,Kashif Bilal,Sajjad A. Madani,Mazliza Othman,Rajiv Ranjan,Pavan Balaji,Samee U. Khan +6 more
TL;DR: This paper presents the concept of inception of data center energy-efficiency controller that can consolidate data center resources with minimal effect on QoS requirements, and discusses software- and hardware-based techniques and architectures that can be manipulated by the data center controller to achieve energy efficiency.
Journal ArticleDOI
Dynamic Low-Power Reconfiguration of Real-Time Systems With Periodic and Probabilistic Tasks
TL;DR: An intelligent agent is developed, which provides four solutions to reconfigure the system at runtime and modifies their temporal parameters dynamically, in order to feasibly serve the probabilistic tasks and reduce the system's power consumption.
Journal ArticleDOI
A multi-objective co-evolutionary algorithm for energy-efficient scheduling on a green data center
TL;DR: An enhanced multi- objective co-evolutionary algorithm, called OL-PICEA-g, is proposed for solving the multi-objective energy-efficient task scheduling problem on a green data center partially powered by the renewable energy, where the computing nodes of the data center are DVFS-enabled.
Journal ArticleDOI
Energy and performance-efficient task scheduling in heterogeneous virtualized cloud computing
Mehboob Hussain,Lian-Fu Wei,Lian-Fu Wei,Abdullah Lakhan,Samad Wali,Samad Wali,Soragga Ali,Abid Hussain +7 more
TL;DR: The proposed Energy and Performance-Efficient Task Scheduling Algorithm (EPETS) in a heterogeneous virtualized cloud to resolve the issue of energy consumption helps to reduce significant energy consumption and improve performance by 5 % – 20 % with deadline constraint satisfied.
References
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Journal ArticleDOI
Static scheduling algorithms for allocating directed task graphs to multiprocessors
Yu-Kwong Kwok,Ishfaq Ahmad +1 more
TL;DR: A taxonomy that classifies 27 scheduling algorithms and their functionalities into different categories is proposed, with each algorithm explained through an easy-to-understand description followed by an illustrative example to demonstrate its operation.
Journal ArticleDOI
NP-complete scheduling problems
TL;DR: It is shown that the problem of finding an optimal schedule for a set of jobs is NP-complete even in the following two restricted cases, tantamount to showing that the scheduling problems mentioned are intractable.
Journal ArticleDOI
Power and energy management for server systems
TL;DR: This survey shows that heterogeneous server clusters can be made more efficient by conserving power and energy while exploiting information from the service level, such as request priorities established by service-level agreements.
Journal ArticleDOI
Overview of the Blue Gene/L system architecture
Alan Gara,Matthias A. Blumrich,Dong Chen,G. L.-T. Chiu,Paul W. Coteus,Mark E. Giampapa,R. A. Haring,Philip Heidelberger,Dirk Hoenicke,G.V. Kopcsay,T. A. Liebsch,Martin Ohmacht,Burkhard Steinmacher-Burow,Todd E. Takken,Pavlos M. Vranas +14 more
TL;DR: The key architectural features of BlueGene/L are introduced: the link chip component and five Blue Gene/L networks, the PowerPC® 440 core and floating-point enhancements, the on-chip and off-chip distributed memory system, the node- and system-level design for high reliability, and the comprehensive approach to fault isolation.
Journal ArticleDOI
Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems
TL;DR: This paper proposes two novel power-aware scheduling algorithms for task sets with and without precedence constraints executing on multiprocessor systems and proposes a new scheme of slack reservation to incorporate voltage/speed adjustment overhead in the scheduling algorithms.
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