A Protocol Stack Development Tool Using Generative Programming

Barbeau, Michel; Bordeleau, Francis

doi:10.1007/3-540-45821-2_6

Cited by 15 publications

(14 citation statements)

References 4 publications

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“…In a companion paper [2], it is argued that, with respect to more traditional protocol development tools, PIX offers configurability superiority because of the use generative programming. An important issues that needed to be clarified, was whether or not this configurability superiority was at the expense of performance.…”

Section: Resultsmentioning

confidence: 99%

“…A feature diagram of PIX is drawn as Figure 1, according to [2]. The Protocol concept, the root in the diagram, captures two functions.…”

Section: Overview Of Pixmentioning

confidence: 99%

“…Linux [3], BSD Unix [8] and System V Streams [1] are some well-known protocol implementation frameworks. Protocol Implementation Framework for Linux (PIX) [2] is a framework based on generative programming (GP) [5]. GP is as a technique to build models for families of systems and then generate concrete systems from these models.…”

Section: Introductionmentioning

confidence: 99%

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Performance of generative programming based protocol implementation

Barbeau

2004

Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004.

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Section: Resultsmentioning

confidence: 99%

“…A feature diagram of PIX is drawn as Figure 1, according to [2]. The Protocol concept, the root in the diagram, captures two functions.…”

Section: Overview Of Pixmentioning

confidence: 99%

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Performance of generative programming based protocol implementation

Barbeau

2004

Proceedings. Second Annual Conference on Communication Networks and Services Research, 2004.

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“…The simulation is carried in PIX (Protocol Implementation Framework for Linux) [4]. The main component of the simulation is the extended STP (XSTP).…”

Section: Introductionmentioning

confidence: 99%

Satellite transport protocol handling bit corruption, handoff and limited connectivity

Elaasar¹,

Barbeau

Kranakis

et al. 2005

IEEE Trans. Aerosp. Electron. Syst.

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Being both wireless and mobile, low Earth obiting (LEO) satellite access networks have a unique set of link errors including bit corruption, handoff, and limited connectivity. Unfortunately, most transport protocols are only designed to handle congestion-related errors common in wired networks. This inability to handle multiple kinds of errors results in severe degradation in effective throughput and energy saving, which are relevant metrics for a wireless and mobile environment. A recent study proposed a new transport protocol for satellites called STP that addresses many of the unique problems of satellite networks. There was, however, no explicit attempt to implement a differentiating error control strategy in that protocol. This paper proposes grafting a new probing mechanism in STP to make it more responsive to the prevailing error conditions in the network. The mechanism works by investing some time and transmission effort to determine the cause of error. This overhead is, however, recouped by handsome gains in both the connection's effective throughput and its energy efficiency.

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“…This method has been applied in many domains such as telecom systems [8], [9], network protocols [10], and embedded systems [11]. Using feature modeling can help in generating domain design in SPL.…”

Section: Feature Modelmentioning

confidence: 99%

Model Driven Software Product Line Process for Service/Component-Based Applications

Ouali¹,

Kraïem²,

Al-Khanjari³

et al. 2020

JSW

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Abstract:The software reuse becomes the key for companies to improve development costs, time-to-market, and software quality. The Software Product Line Engineering (SPLE) and the Model Driven Engineering (MDE) are two new forms of software reuse. Software product lines are recognized as a successful approach to reuse in many domains (cars, printers, phones…) and especially in software development. Software Product Line Engineering proposes a set of methods, techniques and a common set of software artifacts for the production of customized software products as atomic or composite services to be reused in SOA-based applications. The main purpose of MDE is to enhance productivity by maximizing compatibility between software systems and simplifying the process of design via reuse of standardized models and design patterns. This paper presents a process for the construction of software product lines using model driven techniques. This process is based on a combination of SPLE and the MDE throw the use of visual techniques for modeling product lines and model driven techniques. We have validated the approach with a common example of software product line to evaluate the approach (airline travel agency reservation system). We propose a tool that supports some software product line visual techniques and model driven techniques.

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A Protocol Stack Development Tool Using Generative Programming

Cited by 15 publications

References 4 publications

Performance of generative programming based protocol implementation

Performance of generative programming based protocol implementation

Satellite transport protocol handling bit corruption, handoff and limited connectivity

Model Driven Software Product Line Process for Service/Component-Based Applications

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