NDLI: Fast LH $$*$$

Content Provider	Springer Nature Link
Author	Chabkinian, Juan Schwarz SJ, Thomas J. E.
Copyright Year	2015
Abstract	Linear Hashing is an efficient and widely used version of extendible hashing. LH $$$$ is its distributed version that stores key-value pairs on up to hundreds of thousands of sites in a distributed system. LH $$$$ implements the dictionary data structure efficiently by not using a central component and allows the key-based operations of insertion, deletion, actualization, and retrieval as well as the scan operation. Because it does not use a central addressing component, clients or servers in LH $$$$ can commit an addressing error by sending a request to a wrong server. This server then forwards the message to the correct server either directly or in one but never more than one additional forward operation. We discuss here methods to avoid this double forward, which, while rare, still might breach quality of service guarantees. We compare our methods with $$\mathrm{LH}_{\mathrm{RS}^{\mathrm{\tiny P2P}}}$$ that pushes information about changes in the file structure to clients, whether they are active or not. A second problem especially relevant in high churn environments such as modern data centers is that sites can suddenly become inaccessible. The various high and scalable reliability versions of LH $$*$$ then reconstruct the data lost on this site elsewhere. We present a solution to the resulting “wandering bucket” problem that allows clients to find the data at their new location.
Starting Page	709
Ending Page	734
Page Count	26
File Format	PDF
ISSN	08857458
Journal	International Journal of Parallel Programming
Volume Number	44
Issue Number	4
e-ISSN	15737640
Language	English
Publisher	Springer US
Publisher Date	2015-07-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Scalable distributed data structures LH $$*$$ Cloud computing Theory of Computation Processor Architectures Software Engineering/Programming and Operating Systems
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Software

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