Authors
Cha Hwan Song, Xin Zhe Khooi, Dinil Mon Divakaran, Mun Choon Chan
Publication date
2023/4/1
Journal
Computer Networks
Volume
224
Pages
109607
Publisher
Elsevier
Description
Application offloads on modern high-speed programmable switches have been proposed in a variety of systems (e.g., key–value store systems and network middleboxes) so as to efficiently scale up the traditional server-oriented deployments. However, they largely achieve sub-optimal offloading efficiency due to the lack of (1) capability to perform control actions at sufficient rates, and (2) adaptability to workload changes.
In this paper, we scrutinize the common stumbling blocks of existing frameworks with performance evaluations on real workloads. We present DySO (Dynamic State Offloading), a framework which enables expeditious on-demand control actions and self-tuning of management rules. DySO’s key insight is to perform control actions via a data-path instead of the switch control channel which is the bottleneck to read/write states into data plane. Our software simulations show up to 100% performance …
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