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Separating Data Storage, Data Computation, and Resource Management One from Another in Operating Systems

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Advanced Parallel Processing Technologies (APPT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2834))

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Abstract

It’s impossible for traditional operating systems to separate the abstract for data storage (process virtual address space), the abstract for data computation (thread), and the abstract for resource management (process itself) one from another. In this paper, firstly we analyze the problems due to not separating these three abstracts. On the basis of the analysis, we propose the idea that these three abstracts should be separated, and on the basis of the idea, we propose Operating Systems Basing Virtual Address Spaces on Files (OS-BVASF). Then we investigate OS-BVASF architecture model, Thread Migration and Instructions Accessing Files Directly that implement the separation. In the end of this paper, we discuss its implementation and performance test.

This work was support by the National Natural Science Foundation of China (60173033, The Architecture Research of Operating System Basing Virtual Address Space on Files); also by the Youth Technology Research Foundation of Shanxi Province (20021016, The Architecture Research of Operating System Basing Virtual Address Space on Files), and by the Defense Science and Technology Key laboratory Foundation (51484030301JW0301, The Architecture Research of Operating System Basing Virtual Address Space on Files for Large Scale and Parallel Computer).

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© 2003 Springer-Verlag Berlin Heidelberg

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Liu, F., You, J. (2003). Separating Data Storage, Data Computation, and Resource Management One from Another in Operating Systems. In: Zhou, X., Xu, M., Jähnichen, S., Cao, J. (eds) Advanced Parallel Processing Technologies. APPT 2003. Lecture Notes in Computer Science, vol 2834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39425-9_13

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  • DOI: https://doi.org/10.1007/978-3-540-39425-9_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20054-3

  • Online ISBN: 978-3-540-39425-9

  • eBook Packages: Springer Book Archive

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