Enif-Lang: A Specialized Language for Programming Network Functions on Commodity Hardware

Bonelli, Nicola; Giordano, Stefano; Procissi, Gregorio

doi:10.3390/jsan7030034

Cited by 5 publications

(3 citation statements)

References 25 publications

(34 reference statements)

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“…The authors of [16] have identified the principles for the edifice of elevated functioning of software router organisms on commodity hardware. The level of commodity platforms has reached at a place where the production of low-cost hardware with viable alternatives is very much possible with their implementation to the real-time network functions without forfeiting the performance [17]. Further development of these systems needs secure environment where old hardware can be used as effective infrastructure.…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Commodity Server with Freeware Remote Terminal Application in Homogeneous and Heterogeneous Mutli-computing Environments

Sharma

Manuja

Puri³

2021

Lecture Notes in Electrical Engineering

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The technology is bringing new changes rapidly in terms of hardware and software which leads to the increase in the computing cost. One of the prevalent challenges involved in the research endeavors of researchers is to diminish the cost involved in possession of hardware and network technologies. Open source technologies have tried to cut down costs involve at software level, but learning on the software technologies is still a challenge. Commodity hardware utilization is still an option to decrease the hardware level cost. This paper presents the study of the performance of a commodity hardware server in heterogeneous multi-computing environment. Using the commodity hardware of our university and on a client-server-based model, we have developed a system of remote terminal application on a commodity server in homogeneous and heterogeneous multi-computing environments. The nodes used in the current experimental environment are independent of system architecture.

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Section: Related Workmentioning

confidence: 99%

Performance Analysis of Commodity Server with Freeware Remote Terminal Application in Homogeneous and Heterogeneous Mutli-computing Environments

Sharma

Manuja

Puri³

2021

Lecture Notes in Electrical Engineering

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“…As a result, programs can run directly on the switch data path with maximum performance. For general purpose platforms, the PFQ I/O framework [6] provides a programming language especially devoted for packet processing [14], [15] in a streaming fashion based on a functional algebra [16].…”

Section: Related Workmentioning

confidence: 99%

A Probabilistic Counting Framework for Distributed Measurements

2019

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The technological maturity attained by general purpose processors and network interface cards makes today's commodity PCs viable and high performing alternatives to specialized hardware for deploying network devices, such as switches, routers, and generic middleboxes. In addition, the flexibility of the software solution seems to be perfectly in line with the emerging trend towards the data-plane programming abstractions brought by recent proposals such as Openflow and the P4 language. However, if programming abstractions provide the way elementary instructions (primitives) are combined together, the development of such processing primitives is left to the network programmer. Although the type of such functions is strongly domain specific, we can safely assume that the counting primitive is easily required in a great deal of practical contexts. This paper presents a counting framework based on probabilistic sketches and LogLog counters for estimating the cardinality of large multi-sets of data. The proposed data structure is designed to be fast and compact for ready use in the on-line chain of processing of network devices running at multi-gigabit speeds. The complete implementation is provided within the probabilistic data structures (pds) library which has been designed, developed, experimentally assessed, and released as open-source for free download. Although the paper specifically presents two possible use-cases, the pds library can be used in rather general scenarios, even outside the networking domain. INDEX TERMS Approximate counting, loglog counter, multi-set cardinality, network applications, reversible sketches.

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“…While the above approaches target programmable hardware nodes, other programming abstractions for software solutions have been made available in the meantime. Enif-lang [ 14 ] extends the works in [ 15 , 16 ], providing a tool for programming generic network functions on the Linux Operating System (OS). Program safety and correctness are enforced thanks to its strongly typed nature, inherited from the underlying used Haskell functional language.…”

Section: Introductionmentioning

confidence: 99%

Data Stream Processing for Packet-Level Analytics

Fais

Lettieri

Procissi

et al. 2021

Sensors

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One of the most challenging tasks for network operators is implementing accurate per-packet monitoring, looking for signs of performance degradation, security threats, and so on. Upon critical event detection, corrective actions must be taken to keep the network running smoothly. Implementing this mechanism requires the analysis of packet streams in a real-time (or close to) fashion. In a softwarized network context, Stream Processing Systems (SPSs) can be adopted for this purpose. Recent solutions based on traditional SPSs, such as Storm and Flink, can support the definition of general complex queries, but they show poor performance at scale. To handle input data rates in the order of gigabits per seconds, programmable switch platforms are typically used, although they offer limited expressiveness. With the proposed approach, we intend to offer high performance and expressive power in a unified framework by solely relying on SPSs for multicores. Captured packets are translated into a proper tuple format, and network monitoring queries are applied to tuple streams. Packet analysis tasks are expressed as streaming pipelines, running on general-purpose programmable network devices, and a second stage of elaboration can process aggregated statistics from different devices. Experiments carried out with an example monitoring application show that the system is able to handle realistic traffic at a 10 Gb/s speed. The same application scales almost up to 20 Gb/s speed thanks to the simple optimizations of the underlying framework. Hence, the approach proves to be viable and calls for the investigation of more extensive optimizations to support more complex elaborations and higher data rates.

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Enif-Lang: A Specialized Language for Programming Network Functions on Commodity Hardware

Cited by 5 publications

References 25 publications

Performance Analysis of Commodity Server with Freeware Remote Terminal Application in Homogeneous and Heterogeneous Mutli-computing Environments

Performance Analysis of Commodity Server with Freeware Remote Terminal Application in Homogeneous and Heterogeneous Mutli-computing Environments

A Probabilistic Counting Framework for Distributed Measurements

Data Stream Processing for Packet-Level Analytics

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