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Adaptive Hard Disk Power Management on Personal Computers (1999)
| Content Provider | CiteSeerX |
|---|---|
| Author | Lu, Yung-Hsiang Micheli, Giovanni De |
| Description | Dynamic power management can be effective for designing low-power systems. In many systems, requests are clustered into sessions. This paper proposes an adaptive algorithm that can predict session lengths and shut down components between sessions to save power. Compared to other approaches, simulations show that this algorithm can reduce power consumption in hard disks with less impact on performance or reliability. 1. Introduction The increasing popularity of portable electronics and the concept of green computers have generated a need for low-power computer design. In a computer, a hard disk can consume more than one fifth of the total power [4] [8]. Studies show that hard disks will keep consuming a significant portion of power in the near future [7] [9]. Although stopping plate spinning can reduce power consumption, this approach has three problems: a decrease in performance while waiting for the plates to spin up, extra energy while accelerating the plates, and higher failure r... |
| File Format | |
| Language | English |
| Publisher Date | 1999-01-01 |
| Publisher Institution | In Proceedings of the IEEE Great Lakes Symposium |
| Access Restriction | Open |
| Subject Keyword | Computer Design Significant Portion Near Future Low-power System Total Power Personal Computer Dynamic Power Management Many System Hard Disk Portable Electronics Adaptive Hard Disk Power Management Extra Energy Green Computer Adaptive Algorithm Plate Spinning Session Length Power Consumption |
| Content Type | Text |
| Resource Type | Article |
