Using Probabilistic Data Structures for Monitoring of Multi-tenant P4-based Networks

Martins, Regis Francisco Teles; Verdi, Fábio L.; Villaça, Rodolfo da Silva; Garcia, Luis Fernando Uria

doi:10.1109/iscc.2018.8538352

Cited by 4 publications

(1 citation statement)

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“…• Data structure: This criterion defines the data structure of the network element that has been used in implementation. We have reported the usage of wellknown data structures: bloom filter (data structure that provides capability to test whether an element is a member of a set), sketches (data structures capable of summarizing information about the network e.g., getting traffic statistics requiring a fixed size memory), and hash table [44], [73] • Network element: This criterion defines the network element that is used for evaluation. We found three categories of network elements in the literature: programmable switch/router, FPGA, and Network Interface Card (NIC).…”

Section: ) Proposed Criteria For Evaluation and Comparisonmentioning

confidence: 99%

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Kianpisheh

Taleb

2023

IEEE Commun. Surv. Tutorials

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In comparison with cloud computing, edge computing offers processing at locations closer to end devices and reduces the user experienced latency. The new recent paradigm of innetwork computing employs programmable network elements to compute on the path and prior to traffic reaching the edge or cloud servers. It advances common edge/cloud server based computing through proposing line rate processing capabilities at closer locations to the end devices. This paper discusses use cases, enabler technologies and protocols for in-network computing. According to our study, considering programmable data plane as an enabler technology, potential in-network computing applications are in-network analytics, in-network caching, innetwork security, and in-network coordination. There are also technology specific applications of in-network computing in the scopes of cloud computing, edge computing, 5G/6G, and NFV. In this survey, the state of the art, in the framework of the proposed categorization, is reviewed. Furthermore, comparisons are provided in terms of a set of proposed criteria which assess the methods from the aspects of methodology, main results, as well as application-specific criteria. Finally, we discuss lessons learned and highlight some potential research directions.

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Section: ) Proposed Criteria For Evaluation and Comparisonmentioning

confidence: 99%