Distributed memory virtualization with the use of SDDSfL

  • Authors:
  • Arkadiusz Chrobot;Maciej Lasota;Grzegorz Łukawski;Krzysztof Sapiecha

  • Affiliations:
  • Department of Computer Science, Kielce University of Technology, Poland;Department of Computer Science, Kielce University of Technology, Poland;Department of Computer Science, Kielce University of Technology, Poland;Department of Computer Science, Kielce University of Technology, Poland

  • Venue:
  • PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part II
  • Year:
  • 2011

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Abstract

Scalable Distributed Data Structures (sdds) are a user---level software component that makes it possible to create a single coherent memory pool out of distributed rams of multicomputer nodes. In other words they are a tool for distributed memory virtualization. Applications that use sdds benefit from a fast data access and a scalability offered by such data structures. On the other hand, adapting an application to work with sdds may require significant changes in its source code. We have proposed an architecture of sdds called sddsfl that overcomes this difficulty by providing sdds functionality for applications in a form of an operating system service. In this paper we investigate usefulness of sddsfl for different types of applications.