Unifying and refactoring DMF to support concurrent Jini and JMS DMS in GIPSY

Ji, Yi; Mokhov, Serguei A.; Paquet, Joey

doi:10.1145/2347583.2347588

Cited by 5 publications

(11 citation statements)

References 11 publications

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“…After tiers are allocated to the registered nodes, the manager tier can connect the different tiers together, and eventually instruct a generator to start the demand-driven evaluation of a GIPSY program. Even after execution is started, the manager tier can accept new nodes registrations, or allocate/deallocate new tiers on any registered node that it manages and make newly allocated tiers to contribute to a program's evaluation on the fly [11,12].…”

Section: Bootstrappingmentioning

confidence: 99%

An interactive graph-based automation assistant

Rabah¹,

Mokhov²,

Paquet³

2013

Proceedings of the 2013 Research in Adaptive and Convergent Systems

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The GIPSY system provides a framework for a distributed multi-tier demand-driven evaluation of heterogeneous programs, in which certain tiers can generate demands, while others can respond to demands to work on them. They are connected through a virtual network that can be flexibly reconfigured at run-time. Although the demand generator components were originally designed specifically for the eductive (demand-driven) evaluation of Lucid intensional programs, the GIPSY's run-time's flexible framework design enables it to perform the execution of various kinds of programs that can be evaluated using the demand-driven computational model. Management of the GISPY networks has become a tedious (although scripted) task that required a manual command-line console, which does not scale for large experiments. Therefore a new component has been designed and developed to allow users to represent, visualize, and interactively create, configure and seamlessly manage such a network as a graph. Consequently, this work presents a Graphical Manager, an interactive graph-based assistant component for the GIPSY network creation and configuration management. Besides allowing the management of the nodes and tiers (mapped to hosts where store, workers, and generators reside), it lets the user to visually control the network parameters and the interconnection between computational nodes at run-time. In this paper we motivate and present the key features of this newly implemented graphbased component. We give the graph representation details, mapping of the graph nodes to tiers, tier groups, and specific commands. We provide the requirements and design specification of the tool and its implementation. Then we detail and discuss some experimental results.

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Section: Bootstrappingmentioning

confidence: 99%

An interactive graph-based automation assistant

Rabah¹,

Mokhov²,

Paquet³

2013

Proceedings of the 2013 Research in Adaptive and Convergent Systems

Self Cite

View full text Add to dashboard Cite

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Section: Graphical Gmt Tool Support For the Gipsy Run-time Systemmentioning

confidence: 99%

An Interactive Graph-Based Automation Assistant: A Case Study to Manage the GIPSY's Distributed Multi-tier Run-Time System

Rabah,

Mokhov,

Paquet

2012

Preprint

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The GIPSY system provides a framework for a distributed multi-tier demanddriven evaluation of heterogeneous programs, in which certain tiers can generate demands, while others can respond to demands to work on them. They are connected through a virtual network that can be flexibly reconfigured at run-time. Although the demand generator components were originally designed specifically for the eductive (demand-driven) evaluation of Lucid intensional programs, the GIPSY's runtime's flexible framework design enables it to perform the execution of various kinds of programs that can be evaluated using the demand-driven computational model. Management of the GISPY networks has become a tedious (although scripted) task that took manual command-line console to do, which does not scale for large experiments. Therefore a new component has been designed and developed to allow users to represent, visualize, and interactively create, configure and seamlessly manage such a network as a graph. Consequently, this work presents a Graphical GMT Manager, an interactive graph-based assistant component for the GIPSY network creation and configuration management. Besides allowing the management of the nodes and tiers (mapped to hosts where store, workers, and generators reside), it lets the user to visually control the network parameters and the interconnection between computational nodes at run-time. In this paper we motivate and present the key features of this newly implemented graph-based component. We give the graph representation details, mapping of the graph nodes to tiers, tier groups, and specific commands. We provide the requirements and design specification of the tool and its implementation. Then we detail and discuss some experimental results.

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“…2) GIPSY: The general intensional programming system (GIPSY) is a framework for the compilation and distributed demand-driven evaluation of context-aware declarative programs where the Intentional programming is defined as multidimensional context programming [12]. More than compilation, GIPSY can execute multiple programming languages, like Lucid, C++ and Java programming language [10].…”

Section: Introductionmentioning

confidence: 99%

“…Also, this refactoring allows modularity and reusability since demand workers and generators source code has been extracted and is now common to both technologies. Other benefit of the actual refactoring is the ability of concurrent use of both technologies, which provide a suitable way for comparison [12].…”

Section: Introductionmentioning

confidence: 99%

Toward Software Measurement and Quality Analysis of MARF and GIPSY Case Studies a Team 13 SOEN6611-S14 Project Report

Albeladi,

Abdalkareem,

Agwaeten

et al. 2014

Preprint

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It is no longer a debate that quality is an essential requirement in any software product, especially in a highly competitive market and a context of mission critical product. To obtain better product quality, software metrics are the only reliable indicators provided to assess and measure this attribute of a software product. Several metrics have been elaborated but none of them were really convenient in an object oriented ecosystem. However, the MOOD metrics have proven their efficiency in gauging the software quality at system level, while CK Metrics measure the quality of software at class level . These metrics, well suited for Object-Oriented design, allow measuring object oriented design properties such as coupling, cohesion, encapsulation, Inheritance and polymorphism. The goal of the present study is using the mentioned metrics to assess the quality of two different case studies, MARF and GIPSY. For this purpose, different tools such as McCabe, Logiscope and, JDeodorant have been used to measure the quality of these projects by implementing in different manners the metrics composing the CK and MOOD suite metrics, whilst MARFCAT has been used to detect vulnerable code files in both case studies. The present study puts the light on the strengths of these tools to measure the quality of proven and largely researched software products.

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Unifying and refactoring DMF to support concurrent Jini and JMS DMS in GIPSY

Cited by 5 publications

References 11 publications

An interactive graph-based automation assistant

An interactive graph-based automation assistant

An Interactive Graph-Based Automation Assistant: A Case Study to Manage the GIPSY's Distributed Multi-tier Run-Time System

Toward Software Measurement and Quality Analysis of MARF and GIPSY Case Studies a Team 13 SOEN6611-S14 Project Report

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