Weardrive: Fast and energy-efficient storage for wearables

Jian Huang, Anirudh Badam, Ranveer Chandra, Edmund B. Nightingale

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Size and weight constraints on wearables limit their battery capacity and restrict them from providing rich functionality. The need for durable and secure storage for personal data further compounds this problem as these features incur energy-intensive operations. This paper presents WearDrive, a fast storage system for wearables based on battery-backed RAM and an efficient means to offload energy intensive tasks to the phone. WearDrive leverages low-power network connectivity available on wearables to trade the phone's battery for the wearable's by performing large and energy-intensive tasks on the phone while performing small and energy-efficient tasks locally using battery-backed RAM. WearDrive improves the performance of wearable applications by up to 8.85x and improves battery life up to 3.69x with negligible impact to the phone's battery life.

Original languageEnglish (US)
Title of host publicationProceedings of the 2015 USENIX Annual Technical Conference, USENIX ATC 2015
PublisherUSENIX Association
Pages613-625
Number of pages13
ISBN (Electronic)9781931971225
StatePublished - 2015
Externally publishedYes
Event2015 USENIX Annual Technical Conference, USENIX ATC 2015 - Santa Clara, United States
Duration: Jul 8 2015Jul 10 2015

Publication series

NameProceedings of the 2015 USENIX Annual Technical Conference, USENIX ATC 2015

Conference

Conference2015 USENIX Annual Technical Conference, USENIX ATC 2015
Country/TerritoryUnited States
CitySanta Clara
Period7/8/157/10/15

ASJC Scopus subject areas

  • Computer Science(all)

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