Abstract
Trades, introduced by Hedayat [9], are two sets of blocks of elements which may be exchanged (traded) without altering the counts of certain subcollections of elements within their constituent blocks. They are of importance in applications where certain combinations of elements dynamically become prohibited from being placed in the same group of elements, since in this case one can trade the offending blocks with allowed ones. This is particularly the case in distributed storage systems, where due to privacy and other constraints, data of some groups of users cannot be stored together on the same server. We introduce a new class of balanced trades, important for access balancing of servers, and perturbation resilient balanced trades, important for studying the stability of server access frequencies with respect to changes in data popularity. The constructions and bounds on our new trade schemes rely on specialized selections of defining sets in minimal trades and number-theoretic analyses.
| Original language | English |
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| Pages | 2385-2390 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - Jun 2022 |
| Event | 2022 IEEE International Symposium on Information Theory, ISIT 2022 - Espoo, Finland Duration: 26 Jun 2022 → 1 Jul 2022 |
Conference
| Conference | 2022 IEEE International Symposium on Information Theory, ISIT 2022 |
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| Country/Territory | Finland |
| City | Espoo |
| Period | 26/06/22 → 1/07/22 |
Keywords
- access balancing
- combinatorial trades
- data popularity changes
- distributed storage