Abstract
In coding for distributed storage systems, efficient data reconstruction and repair through accessing a predefined number of arbitrarily chosen storage nodes is guaranteed by regenerating codes. Traditionally, code parameters, specially the number of helper nodes participating in a repair process, are predetermined. However, depending on the state of the system and network traffic, it is desirable to adapt such parameters accordingly in order to minimize the cost of repair. In this work a class of regenerating codes with minimum storage is introduced that can simultaneously operate at the optimal repair bandwidth, for a wide range of exact repair mechanisms, based on different number of helper nodes.
Original language | English (US) |
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Title of host publication | 2017 IEEE Information Theory Workshop, ITW 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 41-45 |
Number of pages | 5 |
ISBN (Electronic) | 9781509030972 |
DOIs | |
State | Published - Jul 2 2017 |
Event | 2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China Duration: Nov 6 2017 → Nov 10 2017 |
Publication series
Name | IEEE International Symposium on Information Theory - Proceedings |
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Volume | 2018-January |
ISSN (Print) | 2157-8095 |
Other
Other | 2017 IEEE Information Theory Workshop, ITW 2017 |
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Country/Territory | Taiwan, Province of China |
City | Kaohsiung |
Period | 11/6/17 → 11/10/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.