Abstract
Network switches and routers scale in rate by distributing the packet read/write operations across multiple memory banks. Rate scaling is achieved so long as sufficiently many packets can be written and read in parallel. However, due to the non-determinism of the read process, parallel pending read requests may contend on memory banks, and thus significantly lower the switching rate. In this paper, we provide a constructive study of codes that guarantee fully parallel data reconstruction without contention. We call these codes 'switch codes,' and construct three optimal switch-code families with different parameters. All the constructions use only simple XOR-based encoding and decoding operations, an important advantage when operated in ultra-high speeds. Switch codes achieve their good performance by spanning simultaneous disjoint local-decoding sets for all their information symbols. Switch codes may be regarded as an extreme version of the previously studied batch codes, where the switch version requires parallel reconstruction of all the information symbols.
| Original language | English |
|---|---|
| Article number | 7843662 |
| Pages (from-to) | 2061-2075 |
| Number of pages | 15 |
| Journal | IEEE Transactions on Information Theory |
| Volume | 63 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2017 |
Keywords
- Distributed-storage codes
- batch codes
- combinatorial designs
- network switches
All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Science Applications
- Library and Information Sciences