Robotron

Sung, Yu-Wei Eric; Tie, Xiaozheng; Wong, Sui‐Lam; Zeng, Hongyi

doi:10.1145/2934872.2934874

Cited by 65 publications

(7 citation statements)

References 24 publications

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“…Propane [8] is a declarative language, allowing the mapping of connectivity intents in legacy network control protocols, such as BGP. Robotron [9] is an intent-based management system used to manage the Facebook network infrastructure. At its core, Robotron uses a data model to track both policy specification, as well as, the device inventory of the underlying infrastruc-Fig.…”

Section: Related Workmentioning

confidence: 99%

To All Intents and Purposes: Towards Flexible Intent Expression

Bezahaf

Davies

Rotsos

et al. 2021

2021 IEEE 7th International Conference on Network Softwarization (NetSoft)

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Intent-based networking provides an efficient mechanism to manage complexity in network management. The paradigm allows users to express their network requirements, and an autonomic framework translates them into a network configuration. Existing efforts focus primarily on modeling connectivity intents for end-users. Nonetheless, in order to deliver autonomic behavior in network management, an intent system must support a wider range of network management processes and model human-to-human interactions, essential for network operation. Furthermore, such interactions may involve nontechnical users and require the design of novel interfaces, supporting free-text and conversational intent expression. Towards this goal, we present an intent architecture that supports novel network management intents, such as network path rerouting and applying periods of 'service protection'. The paper includes details of our prototype implementation that is capable of deploying such intents in under five seconds in a large mininet topology.

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Section: Related Workmentioning

confidence: 99%

To All Intents and Purposes: Towards Flexible Intent Expression

Bezahaf

Davies

Rotsos

et al. 2021

2021 IEEE 7th International Conference on Network Softwarization (NetSoft)

View full text Add to dashboard Cite

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“…Network management automation. To reduce operator-induced downtimes, several systems have been proposed to automate network management [29,38,40]. These systems automate configuration generation and deployment for network operators.…”

Section: Related Workmentioning

confidence: 99%

“…Network operators reconfigure their network literally every day [17,27,39,40,45]. In a Tier-1 ISP for example, network operators modify their BGP configurations up to ≈20 times per day on average [45].…”

Section: Introductionmentioning

confidence: 99%

Snowcap

Schneider

Birkner

Vanbever

2021

Proceedings of the 2021 ACM SIGCOMM 2021 Conference

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Large-scale reconfiguration campaigns tend to be nerve-racking for network operators as they can lead to significant network downtimes, decreased performance, and policy violations. Unfortunately, existing reconfiguration frameworks often fall short in practice as they either only support a small set of reconfiguration scenarios or simply do not scale.We address these problems with Snowcap, the first network reconfiguration framework which can synthesize configuration updates that comply with arbitrary hard and soft specifications, and involve arbitrary routing protocols. Our key contribution is an efficient search procedure which leverages counter-examples to efficiently navigate the space of configuration updates. Given a reconfiguration ordering which violates the desired specifications, our algorithm automatically identifies the problematic commands so that it can avoid this particular order in the next iteration.We fully implemented Snowcap and extensively evaluated its scalability and effectiveness on real-world topologies and typical, large-scale reconfiguration scenarios. Even for large topologies, Snowcap finds a valid reconfiguration ordering with minimal sideeffects (i.e., traffic shifts) within a few seconds at most.

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“…Modular Code Extensive work in the software engineering community [42] and recently validated by large software engineering firms (e.g., Facebook [51,52]) have demonstrated that the key to successfully supporting rapid prototyping and deployment of complex functionality is modularity (code-reuse). Yet, today programmers are forced to write monolithic P4 programs.…”

Section: Rapid Development In Large Networkmentioning

confidence: 99%

P4Visor

Zheng

Benson

2018

Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies

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Programmable data planes, PDPs, enable an unprecedented level of flexibility and have emerged as a promising alternative to existing data planes. Despite the rapid development and prototyping cycles that PDPs promote, the existing PDP ecosystem lacks appropriate abstractions and algorithms to support these rapid testing and deployment life-cycles. In this paper, we propose P4Visor, a lightweight virtualization abstraction that provides testing primitives as a first-order citizen of the PDP ecosystem. P4Visor can efficiently support multiple PDP programs through a combination of compiler optimizations and program analysis-based algorithms. P4Visor's algorithm improves over state-of-the-art techniques by significantly reducing the resource overheads associated with embedding numerous versions of a PDP program into hardware. To demonstrate the efficiency and viability of P4Visor, we implemented and evaluated P4Visor on both a software switch and an FPGA-based hardware switch using fourteen different PDP programs. Our results demonstrate that P4Visor introduces minimal overheads (less than 1%) and is one order of magnitude more efficient than existing PDPs primitives for concurrently supporting multiple programs. CCS CONCEPTS • Networks → Programmable networks; • Software and its engineering → Software testing and debugging;

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Robotron

Cited by 65 publications

References 24 publications

To All Intents and Purposes: Towards Flexible Intent Expression

To All Intents and Purposes: Towards Flexible Intent Expression

Snowcap

P4Visor

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