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Universal Rewriting in Constrained Memories

Jiang, Anxiao (Andrew) and Langberg, Michael and Schwartz, Moshe and Bruck, Jehoshua (2009) Universal Rewriting in Constrained Memories. California Institute of Technology , Pasadena, CA. (Unpublished)

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A constrained memory is a storage device whose elements change their states under some constraints. A typical example is flash memories, in which cell levels are easy to increase but hard to decrease. In a general rewriting model, the stored data changes with some pattern determined by the application. In a constrained memory, an appropriate representation is needed for the stored data to enable efficient rewriting. In this paper, we define the general rewriting problem using a graph model. This model generalizes many known rewriting models such as floating codes, WOM codes, buffer codes, etc. We present a novel rewriting scheme for the flash-memory model and prove it is asymptotically optimal in a wide range of scenarios. We further study randomization and probability distributions to data rewriting and study the expected performance. We present a randomized code for all rewriting sequences and a deterministic code for rewriting following any i.i.d. distribution. Both codes are shown to be optimal asymptotically.

Item Type:Report or Paper (Technical Report)
Langberg, Michael0000-0002-7470-0718
Schwartz, Moshe0000-0002-1449-0026
Bruck, Jehoshua0000-0001-8474-0812
Additional Information:This work was supported in part by the NSF CAREER Award CCF-0747415, the NSF grant ECCS-0802107, the ISF grant 480/08, the GIF grant 2179-1785.10/2007, and the Caltech Lee Center for Advanced Networking.
Group:Parallel and Distributed Systems Group
Record Number:CaltechPARADISE:2009.ETR096
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Official Citation:Anxiao (Andrew) Jiang, Michael Langberg, Moshe Schwartz, and Jehoshua Bruck. Universal Rewriting in Constrained Memories. Technical Report. California Institute of Technology, Pasadena, CA. [CaltechPARADISE:2009.ETR096]
Usage Policy:You are granted permission for individual, educational, research and non-commercial reproduction, distribution, display and performance of this work in any format.
ID Code:26127
Deposited By: Imported from CaltechPARADISE
Deposited On:21 Sep 2009
Last Modified:18 Aug 2021 01:36

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