URN to cite this document: urn:nbn:de:bvb:703epub51298
Title data
Kazemi, Fatemeh ; Kurz, Sascha ; Soljanin, Emina ; Sprintson, Alex:
Efficient Storage Schemes for Desired Service Rate Regions.
Bayreuth
,
2020
.  5 S.


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Abstract
A major concern in cloud/edge storage systems is serving a large number of users simultaneously. The service rate region is introduced recently as an important performance metric for coded distributed systems, which is defined as the set of all data access requests that can be simultaneously handled by the system. This paper studies the problem of designing a coded distributed storage system storing k files where a desired service rate region R of the system is given and the goal is 1) to determine the minimum number of storage nodes n(R) for serving all demand vectors inside the set R and 2) to design the most storageefficient redundancy scheme with the service rate region covering the set R. Towards this goal, we propose three general lower bounds for n(R). Also, for k= 2, we characterizen n(R), i.e., we show that the proposed lower bounds are tight,via designing a novel storageefficient redundancy scheme with n(R) storage nodes and the service rate region covering R.
Further data
Item Type:  Preprint, postprint 

Keywords:  distributed storage; linear codes; service rates of codes; 
DDC Subjects:  000 Computer Science, information, general works > 004 Computer science 500 Science > 510 Mathematics 
Institutions of the University:  Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematical Economics > Chair Mathematical Economics  Univ.Prof. Dr. Jörg Rambau Faculties Faculties > Faculty of Mathematics, Physics und Computer Science 
Language:  English 
Originates at UBT:  Yes 
URN:  urn:nbn:de:bvb:703epub51298 
Date Deposited:  21 Oct 2020 10:01 
Last Modified:  21 Oct 2020 10:01 
URI:  https://epub.unibayreuth.de/id/eprint/5129 