Disk scheduling in a multimedia I/O system
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Monitoring system activity for OS-directed dynamic power management
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
Dynamic power management for non-stationary service requests
DATE '99 Proceedings of the conference on Design, automation and test in Europe
SMDP: minimizing buffer requirements for continuous media servers
Multimedia Systems
Dynamic power management of laptop hard disk (poster paper)
DATE '00 Proceedings of the conference on Design, automation and test in Europe
Operating-system directed power reduction
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Modeling Power Management for Hard Disks
MASCOTS '94 Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems
Adaptive Hard Disk Power Management on Personal Computers
GLS '99 Proceedings of the Ninth Great Lakes Symposium on VLSI
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
An analysis of system level power management algorithms and their effects on latency
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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In this paper, we present the novel algorithm called Adaptive Round Merge(ARM) of retrieving the multimedia data blocks for real-time playback. We focus on minimizing the power consumption involved in multimedia data retrieval. Different from the legacy text based data, real-time multimedia playback requires that the storage supplies the data block continuously until the end of the playback. This puts immense burden on the power scare environment since the disk has to be active for the entire playback duration. Our algorithm, ARM, carefully analyzes the power consumption profile of the disk drive and establishes the data retrieval schedule for the given playback. The objective is to minimize the power consumption. It determines the amount of data blocks to read, the length of active and idle period. According to our simulation result, the ARM algorithm reduces the power consumption by as much as 40% compared to the Full Buffering strategy. It manifests itself when the playback length is relatively short, typically less than 30 sec.