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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM21454

Distributed Shared Memory : A Page-Based Approach

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM21454

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KPK

K Pavan Kumar

VSVK

V Sai Vamsi Krishna

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Abstract

In 1986, Kai Li’s PhD thesis, “Shared Virtual Memory on Loosely Coupled Microprocessors,” introduced the concept of Distributed Shared Memory (DSM) systems, which has since facilitated further research in this field. One approach to implementing DSM in distributed systems is the page-based method, which utilizes virtual memory techniques to map pages of a process’ address space onto the physical memory of multiple nodes. The system automatically moves pages between nodes as needed, ensuring coherence and consistency for shared page updates. Page-based DSM offers several advantages, including improved performance due to reduced communication overhead and better data locality, simplified programming models that resemble centralized systems, and improved scalability by allowing additional nodes to join the system and expand memory capacity. However, its suitability for certain distributed systems depends on their specific requirements and characteristics. Page-based DSM has been applied in various distributed systems, including high-performance computing, cloud computing, and distributed databases. Nonetheless, remote memory access overheads, cache coherence issues, and the necessity of a well-connected network remain potential limitations of this approach.

KEYWORDS

Distributed memory Shared memory Paging Virtual memory memory coherence memory consistency

Cite This Article

K Pavan Kumar, V Sai Vamsi Krishna, "Distributed Shared Memory : A Page-Based Approach," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM21454

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5/16/2023

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