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Application-specific workload shaping in multimedia-enabled personal mobile devices
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Source International Conference on Hardware Software Codesign archive
Proceedings of the 4th international conference on Hardware/software codesign and system synthesis table of contents
Seoul, Korea
SESSION: HW/SW design exploration for multimedia applications table of contents
Pages: 4 - 9  
Year of Publication: 2006
ISBN:1-59593-370-0
Authors
Balaji Raman  National University of Singapore
Samarjit Chakraborty  National University of Singapore
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
SIGMICRO: ACM Special Interest Group on Microarchitectural Research and Processing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Today, most personal mobile devices (e.g. cell phones and PDAs) are multimedia-enabled and support a variety of concurrently running applications such as audio/video players, word processors and web browsers. Media-processing applications are often computationally expensive and most of these devices typically have 100 - 400 MHz processors. As a result, the user-perceived application response times are often poor when multiple applications are concurrently fired. In this paper we show that by using application-specific dynamic buffering techniques, the workload of these applications can be suitably "shaped" to fit the available processor bandwidth. Our techniques are analogous to traffic shaping which is widely used in communication networks to optimally utilize network bandwidth. Such shaping techniques have recently attracted a lot of attention in the context of embedded systems design (e.g. for dynamic voltage scaling). However, they have not been exploited for enhanced schedulability of multiple applications, as we do in this paper.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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L. Cai and Y.-H. Lu. Energy management using buffer memory for streaming data. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 24(2):141--152, 2005.
 
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C.-F. Chiasserini and R. R. Rao. Improving battery performance by using traffic shaping techniques. IEEE Journal on Selected Areas in Communications, 19(7):1385--1394, 2001.
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J. Hu and Y.-H. Lu. Buffer management for power reduction using hybrid control. In IEEE Conference on Decision and Control and the European Control Conference, 2005.
 
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Collaborative Colleagues:
Balaji Raman: colleagues
Samarjit Chakraborty: colleagues