## Title data

Kazemi, Fatemeh ; Kurz, Sascha ; Soljanin, Emina ; Sprintson, Alex:

**Efficient Storage Schemes for Desired Service Rate Regions.**

Bayreuth
,
2020
. - 5 p.

DOI: https://doi.org/10.15495/EPub_UBT_00005129

## Abstract in another language

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.

## Further data

Item Type: | Preprint, postprint |
---|---|

Keywords: | distributed storage; linear codes; service rates of codes; |

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 |

Result of work at the UBT: | Yes |

DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 500 Science > 510 Mathematics |

Date Deposited: | 24 Oct 2020 21:00 |

Last Modified: | 26 Oct 2020 06:54 |

URI: | https://eref.uni-bayreuth.de/id/eprint/58739 |