Prof. Daniel Hendler

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Upper bounds for multi-level multi-server paging

Shlomi Dolev, Anat Eyal, Danny Hendler, Philip Derbeko, Marina Kogan-Sadetsky

The distributed multi-level multi-server paging problem (DMLMSP) defined in this paper extends and generalizes the classical distributed paging problem [3] to a distributed concurrent multi-level setting, in which multiple servers share caches at multiple levels. The DMLMSP can be used for modeling algorithms for efficient distributed storage systems, in which multiple servers use caches for accelerating access to a centralized storage, maintaining cache coherency across multiple nodes while minimizing access latency and optimizing cache-hit ratio. The DMLMSP model fits basic principles of Non-Uniform Cache Architectures (NUCAs) and can be used for analyzing multiple-level centralized storage. We present an optimal offline algorithm for the DMLMSP model, with minimum number of page faults and minimum makespan, whose time complexity is polynomial in the length of the servers' page request sequences. The new algorithm generalizes and simplifies the state of the art algorithms [3,1].

Publication language English
Pages 72-76
Journal Information Processing Letters
Volume 142
Publication status Published - 01.02.2019

Keywords

Concurrency
Distributed computing
Distributed systems
Multi-level shared cache
Optimal offline polynomial paging algorithm

ASJC Scopus subject areas

Theoretical Computer Science
Signal Processing
Information Systems
Computer Science Applications
Access to Document
10.1016/j.ipl.2018.10.012
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Link to publication in Scopus