Advanced search
Start date
Betweenand


Dyssect: Dynamic Scaling of Stateful Network Functions

Full text
Author(s):
Carvalho, Fabricio B. ; Ferreira, Ronaldo A. ; Cunha, Italo ; Vieira, Marcos A. M. ; Ramanathan, Murali K. ; IEEE
Total Authors: 6
Document type: Journal article
Source: IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2022); v. N/A, p. 10-pg., 2022-01-01.
Abstract

Network Function Virtualization promises better utilization of computational resources by dynamically scaling resources on demand. However, most network functions (NFs) are stateful and require state updates on a per-packet basis. During a scaling operation, cores need to synchronize access to a shared state to avoid race conditions and to guarantee that NFs process packets in arrival order. Unfortunately, the classic approach to control concurrent access to a shared state with locks does not scale to today's throughput and latency requirements. Moreover, network traffic is highly skewed, leading to load imbalances in systems that use only sharding to partition the NF states. To address these challenges, we present Dyssect, a system that enables dynamic scaling of stateful NFs by disaggregating the states of network functions. By carefully coordinating actions between cores and a central controller, Dyssect migrates shards and flows between cores for load balancing or traffic prioritization without resorting to locks or reordering packets. Our experimental evaluation shows that Dyssect reduces tail latency up to 32% and increases throughput up to 19:36% when compared to state-of-the-art competing solutions. (AU)

FAPESP's process: 14/50937-1 - INCT 2014: on the Internet of the Future
Grantee:Fabio Kon
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 20/05183-0 - SkyNet: towards smart data planes
Grantee:Luciano Paschoal Gaspary
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 15/24485-9 - Future internet for smart cities
Grantee:Fabio Kon
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/23085-5 - ProgNet: networks with programmable data plane
Grantee:Marcos Augusto Menezes Vieira
Support Opportunities: Regular Research Grants