SLIM: Mmap from the cloud to device, and back

  • Authors:
  • Jinghao Shi;Mingyuan Xia;Ming Wu;Lintao Zhang;Zheng Zhang

  • Affiliations:
  • University of Science and Technology of China;McGill University, Canada;Microsoft Research Asia;Microsoft Research Asia;Microsoft Research Asia

  • Venue:
  • Proceedings of the Second Asia-Pacific Workshop on Systems
  • Year:
  • 2011

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Abstract

In the era of cloud computing, mobile applications often need to leverage a new storage hierarchy that includes not only the traditional main memory and secondary storage on devices, but also storage and computation capabilities from the cloud. In this paper we propose a new data structure library called SLIM. SLIM provides familiar STL-like interfaces and abstractions while accommodates the storage hierarchy that transcends device/cloud boundary. Initial evaluation shows that using SLIM can greatly simplify application development and reduce network and energy cost compared with traditional approaches.