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Published April 2017 | public
Journal Article

Switch Codes: Codes for Fully Parallel Reconstruction

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.

Additional Information

© 2017 IEEE. Manuscript received November 29, 2015; revised September 25, 2016; accepted January 13, 2017. Date of publication February 6, 2017; date of current version March 15, 2017. Z. Wang was supported by NSF under Grant CCF-1566587. H. M. Kiah was supported by the Singapore Ministry of Education Tier 1 under Grant 2016-T1-001-156. Y. Cassuto was supported by the Israel Science Foundation joint ISF-UGC program. Part of the results in this paper were presented at the 2013 and 2015 IEEE International Symposia on Information Theory. Communicated by A. G. Dimakis, Associate Editor for Coding Techniques.

Additional details

Created:
August 19, 2023
Modified:
October 25, 2023