DINC: toward distributed in-network computing

Conference item

In-network computing provides significant performance benefits, load reduction, and power savings. Still, an in-network service’s functionality is strictly limited to a single hardware device. Research has focused on enabling on-device functionality, with limited consideration to distributed in-network computing. This paper explores the applicability of distributed computing to in-network computing. We present DINC, a framework enabling distributed in-network computing, generating deployment strategies, overcoming resource constraints and providing functionality guarantees across a network. It uses multi-objective optimization to provide a deployment strategy, slicing P4 programs accordingly. DINC was evaluated using seven different workloads on both data center and wide-area network topologies, demonstrating feasibility and scalability, providing efficient distribution plans within seconds.

Authors: Zheng, C; Tang, H; Zang, M; Hong, X; Feng, A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Association for Computing Machinery
• Journal: Proceedings of the ACM on Networking
• Volume: 1
• Issue: CoNEXT3
• Article number: 14
• Publication date: 2023-11-28
• Acceptance date: 2023-10-18
• Event title: 19th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2023)
• Event location: Paris, France
• Event website: https://conferences.sigcomm.org/co-next/2023/#!/home
• Event start date: 2023-12-05
• Event end date: 2023-12-08
• DOI: 10.1145/3629136
• Language: English
• Keywords: FFR