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Multi-Tenancy- and Redundancy-Aware In-Network Aggregation using Programmable Switches | IEEE Journals & Magazine | IEEE Xplore

Multi-Tenancy- and Redundancy-Aware In-Network Aggregation using Programmable Switches


Abstract:

Recent advances in programmable switches make it possible to aggregate data in partition-aggregation applications (e.g., MapReduce applications) at programmable switches....Show More

Abstract:

Recent advances in programmable switches make it possible to aggregate data in partition-aggregation applications (e.g., MapReduce applications) at programmable switches. However, a well-designed aggregation scheme is indispensable for aggregating as much data as possible under the limited resources of programmable switches in an environment where multiple applications are running concurrently. In this article, we propose a multi-tenancy and redundancy-aware in-network aggregation (MARINA) scheme that preferentially aggregates highly redundant data at a programmable switch and improves aggregation performance by constructing a multi-tenancy-aware aggregation tree. Evaluation results demonstrate that MARINA can improve data aggregation performance by up to 81 percent compared with the conventional approach using statically partitioned resources and sequential aggregation.
Published in: IEEE Network ( Volume: 37, Issue: 3, May/June 2023)
Page(s): 94 - 100
Date of Publication: 31 October 2022

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