Adaptive online processor management algorithms for multimedia data communication with QoS sensitivity

International Journal of Communication Systems

Volumn 22, Issue 4, 2009, Pages 469-482

  Kim, Sungwook ^a  

^a Sogang University   (South Korea)

Author keywords

Adaptive service scheduling; Dynamic voltage processor; Load balancing; Online decisions; Real time system

Indexed keywords

ELECTRIC LOAD FORECASTING; ENERGY EFFICIENCY; INDUSTRIAL MANAGEMENT; INTERACTIVE COMPUTER SYSTEMS; MULTIMEDIA SERVICES; QUALITY CONTROL; QUALITY OF SERVICE; REAL TIME SYSTEMS; SCHEDULING; SCHEDULING ALGORITHMS;

ADAPTIVE SERVICE SCHEDULING; DYNAMIC VOLTAGE PROCESSOR; LOAD BALANCING; ONLINE DECISIONS; REAL TIME SYSTEM;

ADAPTIVE ALGORITHMS;

EID: 63749104826     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.979     Document Type: Article

References (17)

1. Ramanathan D, Irani S, Gupta RK. An analysis of system level power management algorithms and their effects on latency. IEEE Transactions on Computer Aided Design of Integrated Circuits and Systems 2002; 21(3):291-305.
2. Irani S, Shukla S, Gupta R. Algorithms for power savings. Symposium on Discrete Algorithms, Baltimore, MD, 2003; 37-46.
3. Irani S, Shukla S, Gupta R. Online strategies for dynamic power management in systems with multiple power-saving states. ACM Transactions on Embedded Computing Systems 2003; 2(3):325-346.
4. Govil K, Chan E, Wasserman H. Comparing algorithms for dynamic speed-setting of a low-power CPU. International Conference on Mobile Computing and Networking, Berkeley, CA, 1995; 13-25.
5. Hwang C-H, Wu AC-H. A predictive system shutdown method for energy saving of event-driven computation. International Conference on Computer-aided Design (ICCAD'97), San Jose, CA, 1997; 28-32.
6. Pillai P, Shin KG. Real-time dynamic voltage scaling for low-power embedded operating systems. Proceedings of the 18th ACM Symposium on Operating System Principles (SOSP'01), Banff, Alberta, Canada, vol. 35(5), 2001; 89-102.
7. Mochocki B, Hu XS, Quan G. A realistic variable voltage scheduling model for real-time applications. International Conference on Computer Aided Design (ICCAD-02), San Jose, CA, 2002; 726-731.
8. Hong I, Potkonjak M, Srivastava MB. On-line scheduling of hard real-time tasks on variable voltage processor. International Conference on Computer Aided Design (ICCAD-98), San Jose, CA, 1998; 653-656.
9. Kim S, Varshney PK. An integrated adaptive bandwidth management framework for QoS sensitive multimedia cellular networks. IEEE Transactions on Vehicular Technology 2004; 53(3):835-846.
10. Kim S, Varshney PK. An adaptive bandwidth reservation algorithm for QoS sensitive multimedia cellular network. IEEE Vehicular Technology Conference, Vancouver, Canada, September 2002; 1475-1479.
11. Kim S, Varshney PK. Adaptive load balancing with preemption for multimedia cellular networks. IEEE Wireless Communications and Networking Conference (WCNC), New Orleans, U.S.A., vol. 3, March 2003; 1680-1684.
12. Lee Y, Krishna CM. Voltage-clock scaling for low energy consumption in real-time embedded systems. Real-Time Systems 2003; 24(3):303-317.
13. Burd TD, Brodersen RW. Processor design for portable systems. Journal of VLSI Signal Processing 1996; 13:203-222.
14. Azar Y. Online Algorithms-The State of the Art. Springer: Berlin, 1998.
15. Borodin A, El-Yaniv R. Online Computation and Competitive Analysis. Cambridge University Press: Cambridge, 1998.
16. Lu Y-H, Chung E-Y, Simunic T, Benini L, De Micheli G. Quantitative comparison of power management algorithms. Proceedings of Design. Automation, and Test in Europe Conference (DATE'00), Paris, France, 2000; 20-26.
17. Yao F, Deniers A, Shenker S. A scheduling model for reduced CPU energy. IEEE Annual Foundations of Computer Science. IEEE Computer Society: WA, U.S.A., 1995; 374-382.