An Extensible Framework for Improving a Distributed Software System's Deployment Architecture

Malek, Sam; Medvidović, Nenad; Mikic-Rakic, Marija

doi:10.1109/tse.2011.3

Cited by 80 publications

(90 citation statements)

References 49 publications

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“…Additionally, a DSPL may exploit knowledge and context profiling as a learning capability for autonomic product evolution by enhancing self-adaptation (Abbas et al, 2011). However, in the era of post-deployment evolution (Malek et al, 2012), where embedded systems can change and be deployed several times, DSPLs offer a solution for software-intensive and embedded system families as they provide dynamic variability mechanisms. There are many embedded systems and application domains where runtime variability can play a key role in order to support the "autonomic" condition (Kephart and Chess, 2003) and manage system capabilities autonomously and dynamically.…”

Section: Related Workmentioning

confidence: 99%

An overview of Dynamic Software Product Line architectures and techniques: Observations from research and industry

Capilla

Bosch

Trinidad

et al. 2014

Journal of Systems and Software

147

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a b s t r a c tOver the last two decades, software product lines have been used successfully in industry for building families of systems of related products, maximizing reuse, and exploiting their variable and configurable options. In a changing world, modern software demands more and more adaptive features, many of them performed dynamically, and the requirements on the software architecture to support adaptation capabilities of systems are increasing in importance. Today, many embedded system families and application domains such as ecosystems, service-based applications, and self-adaptive systems demand runtime capabilities for flexible adaptation, reconfiguration, and post-deployment activities. However, as traditional software product line architectures fail to provide mechanisms for runtime adaptation and behavior of products, there is a shift toward designing more dynamic software architectures and building more adaptable software able to handle autonomous decision-making, according to varying conditions. Recent development approaches such as Dynamic Software Product Lines (DSPLs) attempt to face the challenges of the dynamic conditions of such systems but the state of these solution architectures is still immature. In order to provide a more comprehensive treatment of DSPL models and their solution architectures, in this research work we provide an overview of the state of the art and current techniques that, partially, attempt to face the many challenges of runtime variability mechanisms in the context of Dynamic Software Product Lines. We also provide an integrated view of the challenges and solutions that are necessary to support runtime variability mechanisms in DSPL models and software architectures.

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Section: Related Workmentioning

confidence: 99%

An overview of Dynamic Software Product Line architectures and techniques: Observations from research and industry

Capilla

Bosch

Trinidad

et al. 2014

Journal of Systems and Software

147

View full text Add to dashboard Cite

show abstract

“…The second, more formal approach for evaluating the generated deployment alternative is to compare the generated alternative with another deployment alternative (Aleti et al, 2009a;Malek et al, 2012). The S-IDE tool provides a quality evaluation tool that enables the comparison of two deployment models with respect to given simulation execution configurations.…”

Section: Feasibility Of the Generated Deployment Modelmentioning

confidence: 99%

S-IDE: A tool framework for optimizing deployment architecture of High Level Architecture based simulation systems

Çelik

Tekinerdoğan

2013

Journal of Systems and Software

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One of the important problems in High Level Architecture (HLA) based distributed simulation systems is the allocation of the different simulation modules to the available physical resources. Usually, the deployment of the simulation modules to the physical resources can be done in many different ways, and each deployment alternative will have a different impact on the performance. Although different algorithmic solutions have been provided to optimize the allocation with respect to the performance, the problem has not been explicitly tackled from an architecture design perspective. Moreover, for optimizing the deployment of the simulation system, tool support is largely missing. In this paper we propose a method for automatically deriving deployment alternatives for HLA based distributed simulation systems. The method extends the IEEE Recommended Practice for High Level Architecture Federation Development and Execution Process by providing an approach for optimizing the allocation at the design level. The method is realized by the tool framework, S-IDE (Simulation-IDE) that we have developed to provide an integrated development environment for deriving a feasible deployment alternative based on the simulation system and the available physical resources at the design phase. The method and the tool support have been validated using a case study for the development of a traffic simulation system.

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“…The goal of the algorithm is to make a tradeoff between user's acceptable service level and the user utilities. Greedy [1] is another configuration algorithm proposed for the systems with changeable parameters such as network disconnection rates or bandwidth. A fitness function is calculated for each service on each host and the service with maximum fitness is selected and assigned.…”

Section: Related Workmentioning

confidence: 99%

“…This function represents the overall satisfaction of the users with the QoS delivered by the system. The last algorithm is based on genetic algorithms [1]. Each individual is a solution which represents a service assignment.…”

Section: Related Workmentioning

confidence: 99%

“…MANETs allow ubiquitous service access, anywhere, anytime without any fixed infrastructure and its applications such as audio/video conferencing, webcasting requires very stringent and inflexible QoS. The provision of QoS guarantees is much more challenging in MANETs than wired networks due to node mobility, limited power supply and a lack of centralized control [1].…”

Section: Introductionmentioning

confidence: 99%

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An Extendible Emulator for Investigating Configuration Algorithms in Mobile Ad-hoc Networks

Bushehrian¹,

Shahkolahi²

2012

IJCA

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In this paper, an extendible mobile ad hoc network emulator for investigating different configuration algorithms, for service assignment, is proposed. In this emulator, a configuration algorithm can be plugged as a Java class at runtime. The proposed emulator enables the designer to define different service failure schemes, node movement strategies and routing protocols. The experimental results show the usefulness of the proposed emulator in evaluating a service discovery and assignment protocol from reliability viewpoint.

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An Extensible Framework for Improving a Distributed Software System's Deployment Architecture

Cited by 80 publications

References 49 publications

An overview of Dynamic Software Product Line architectures and techniques: Observations from research and industry

An overview of Dynamic Software Product Line architectures and techniques: Observations from research and industry

S-IDE: A tool framework for optimizing deployment architecture of High Level Architecture based simulation systems

An Extendible Emulator for Investigating Configuration Algorithms in Mobile Ad-hoc Networks

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