Titelangaben
Kazemi, Fatemeh ; Kurz, Sascha ; Soljanin, Emina ; Sprintson, Alex:
Efficient Storage Schemes for Desired Service Rate Regions.
Bayreuth
,
2020
. - 5 S.
DOI: https://doi.org/10.15495/EPub_UBT_00005129
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 storage-efficient 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 storage-efficient redundancy scheme with n(R) storage nodes and the service rate region covering R.
Weitere Angaben
Publikationsform: | Preprint, Postprint |
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Keywords: | distributed storage; linear codes; service rates of codes; |
Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Wirtschaftsmathematik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Wirtschaftsmathematik > Lehrstuhl Wirtschaftsmathematik - Univ.-Prof. Dr. Jörg Rambau Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 500 Naturwissenschaften und Mathematik > 510 Mathematik |
Eingestellt am: | 24 Okt 2020 21:00 |
Letzte Änderung: | 26 Okt 2020 06:54 |
URI: | https://eref.uni-bayreuth.de/id/eprint/58739 |