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[36212] Artykuł: Distributed Memory Virtualization with the Use of SDDSfLCzasopismo: 9th International Conference on Parallel Processing and Applied Mathematics (PPAM). Lecture Notes in Computer Science Tom: 7204, Strony: 141-150ISSN: 0302-9743 ISBN: 978-3-642-31499-5 Wydawca: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY Opublikowano: 2012 Seria wydawnicza: Lecture Notes in Computer Science Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 10 Klasyfikacja Web of Science: Proceedings Paper Web of Science Keywords: Scalable Distributed Data Structures  operating system  distributed memory virtualization  |
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.