RECORD
Network Map Reduce
Networking and Internet Architecture · Submitted 10 Sep 2016
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim Rather, the defining characteristics of the next generation white-box are open and programmable, so that the network devices can be made smart and versatile to support new services and applications.
The compiled record
The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.
Open the compiled record
The abstract, sentence by sentence
Networking data analytics is increasingly used for enhanced network visibility and controllability. We draw the similarities between the Software Defined Networking (SDN) architecture and the MapReduce programming model. Inspired by the similarity, we suggest the necessary data plane innovations to make network data plane devices function as distributed mappers and optionally, reducers. A streaming network data MapReduce architecture can therefore conveniently solve a series of network monitoring and management problems. Unlike the traditional networking data analytical system, our proposed system embeds the data analytics engine directly in the network infrastructure. The affinity leads to a concise system architecture and better cost performance ratio. On top of this architecture, we propose a general MapReduce-like programming model for real-time and one-pass networking data analytics, which involves joint in-network and out-of-network computing. We show this model can address a wide range of interactive queries from various network applications. This position paper strives to make a point that the white-box trend does not necessarily lead to simple and dumb networking devices. Rather, the defining characteristics of the next generation white-box are open and programmable, so that the network devices can be made smart and versatile to support new services and applications.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | Networking data analytics is increasingly used for enhanced network visibility and controllability. | background 1.00 | 0.04 | 0.03 | asserted 0.99 |
| s1 | We draw the similarities between the Software Defined Networking (SDN) architecture and the MapReduce programming model. | contribution 0.63 | 0.84 | 0.04 | asserted 0.97 |
| s2 | Inspired by the similarity, we suggest the necessary data plane innovations to make network data plane devices function as distributed mappers and optionally, reducers. | contribution 0.78 | 0.73 | 0.14 | hedged possibility 0.93 |
| s3 | A streaming network data MapReduce architecture can therefore conveniently solve a series of network monitoring and management problems. | interpretation 0.49 | 0.32 | 0.20 | asserted 0.66 |
| s4 | Unlike the traditional networking data analytical system, our proposed system embeds the data analytics engine directly in the network infrastructure. | contribution 0.79 | 0.52 | 0.10 | asserted 1.00 |
| s5 | The affinity leads to a concise system architecture and better cost performance ratio. | interpretation 0.82 | 0.51 | 0.10 | asserted 0.99 |
| s6 | On top of this architecture, we propose a general MapReduce-like programming model for real-time and one-pass networking data analytics, which involves joint in-network and out-of-network computing. | contribution 0.66 | 0.83 | 0.13 | asserted 0.95 |
| s7 | We show this model can address a wide range of interactive queries from various network applications. | result 0.87 | 0.82 | 0.13 | asserted 0.99 |
| s8 | This position paper strives to make a point that the white-box trend does not necessarily lead to simple and dumb networking devices. | interpretation 0.66 | 0.19 | 0.54 | asserted 0.56 |
| s9 | Rather, the defining characteristics of the next generation white-box are open and programmable, so that the network devices can be made smart and versatile to support new services and applications. | interpretation 0.86 | 0.13 | 0.44 | asserted 0.98 |
What was examined, and what was not
- arXiv listing abstract v1
- full text
- figures and tables
- references and citing sentences
- relations to other papers
- P abstract
- S sections
- T body sentences
- C citations
- R cross-paper relations
The paper
Original abstract
Networking data analytics is increasingly used for enhanced network visibility and controllability. We draw the similarities between the Software Defined Networking (SDN) architecture and the MapReduce programming model. Inspired by the similarity, we suggest the necessary data plane innovations to make network data plane devices function as distributed mappers and optionally, reducers. A streaming network data MapReduce architecture can therefore conveniently solve a series of network monitoring and management problems. Unlike the traditional networking data analytical system, our proposed system embeds the data analytics engine directly in the network infrastructure. The affinity leads to a concise system architecture and better cost performance ratio. On top of this architecture, we propose a general MapReduce-like programming model for real-time and one-pass networking data analytics, which involves joint in-network and out-of-network computing. We show this model can address a wide range of interactive queries from various network applications. This position paper strives to make a point that the white-box trend does not necessarily lead to simple and dumb networking devices. Rather, the defining characteristics of the next generation white-box are open and programmable, so that the network devices can be made smart and versatile to support new services and applications.
Human review
Discussion
Know something about this paper? Leave a comment, or highlight any passage above to comment on it.