Customizable data distribution for shared data spaces

Giovanni Russello; Michel Chaudron; Maarten van Steen

Customizable data distribution for shared data spaces

Giovanni Russello^*, Michel Chaudron, Maarten van Steen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

24 Downloads (Pure)

Abstract

To support component-based software engineering, sim- ple and efficient mechanisms for dynamic composition and decomposition of components are needed. Shared data spaces are a simple composition mechanism, yet their efficient distributed implementation faces several complicating factors. One of these factors is that the communication needs of components may differ per data type, per application, and may even change over time. While existing data-space implementations treat all data equally, we propose a distributed data-space architecture that provides the means for differentiating distribution policies according to the type of data. Using this approach we are able to cater for the specific needs of the data. We maintain the transparency of the shared data space paradigm to the application programmer, but extend its capabilities for optimizing its efficiency.

Original language	English
Title of host publication	Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003
Subtitle of host publication	June 23-26, 2003, Las Vegas, Nevada, USA
Editors	Hamid R. Arabnia, Youngsong Mun
Publisher	CSREA Press
Pages	122-131
Number of pages	7
Volume	1
ISBN (Print)	1-892512-41-6
Publication status	Published - 1 Dec 2003
Externally published	Yes
Event	International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003 - Las Vegas, United States Duration: 23 Jun 2003 → 26 Jun 2003

Conference

Conference	International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003
Abbreviated title	PDPTA
Country/Territory	United States
City	Las Vegas
Period	23/06/03 → 26/06/03

Keywords

Component-based system
Coordination
Customization
Distributed shared data space
Separation of concerns

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Russello2003customizableAccepted author version, 53.9 KB

Cite this

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title = "Customizable data distribution for shared data spaces",

abstract = "To support component-based software engineering, sim- ple and efficient mechanisms for dynamic composition and decomposition of components are needed. Shared data spaces are a simple composition mechanism, yet their efficient distributed implementation faces several complicating factors. One of these factors is that the communication needs of components may differ per data type, per application, and may even change over time. While existing data-space implementations treat all data equally, we propose a distributed data-space architecture that provides the means for differentiating distribution policies according to the type of data. Using this approach we are able to cater for the specific needs of the data. We maintain the transparency of the shared data space paradigm to the application programmer, but extend its capabilities for optimizing its efficiency.",

keywords = "Component-based system, Coordination, Customization, Distributed shared data space, Separation of concerns",

author = "Giovanni Russello and Michel Chaudron and {van Steen}, Maarten",

year = "2003",

month = dec,

day = "1",

language = "English",

isbn = "1-892512-41-6",

volume = "1",

pages = "122--131",

editor = "Arabnia, {Hamid R.} and Youngsong Mun",

booktitle = "Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003",

publisher = "CSREA Press",

note = "International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003, PDPTA ; Conference date: 23-06-2003 Through 26-06-2003",

}

Russello, G, Chaudron, M & van Steen, M 2003, Customizable data distribution for shared data spaces. in HR Arabnia & Y Mun (eds), Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003: June 23-26, 2003, Las Vegas, Nevada, USA. vol. 1, CSREA Press, pp. 122-131, International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003, Las Vegas, Nevada, United States, 23/06/03.

Customizable data distribution for shared data spaces. / Russello, Giovanni; Chaudron, Michel; van Steen, Maarten.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003: June 23-26, 2003, Las Vegas, Nevada, USA. ed. / Hamid R. Arabnia; Youngsong Mun. Vol. 1 CSREA Press, 2003. p. 122-131.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Customizable data distribution for shared data spaces

AU - Russello, Giovanni

AU - Chaudron, Michel

AU - van Steen, Maarten

PY - 2003/12/1

Y1 - 2003/12/1

N2 - To support component-based software engineering, sim- ple and efficient mechanisms for dynamic composition and decomposition of components are needed. Shared data spaces are a simple composition mechanism, yet their efficient distributed implementation faces several complicating factors. One of these factors is that the communication needs of components may differ per data type, per application, and may even change over time. While existing data-space implementations treat all data equally, we propose a distributed data-space architecture that provides the means for differentiating distribution policies according to the type of data. Using this approach we are able to cater for the specific needs of the data. We maintain the transparency of the shared data space paradigm to the application programmer, but extend its capabilities for optimizing its efficiency.

AB - To support component-based software engineering, sim- ple and efficient mechanisms for dynamic composition and decomposition of components are needed. Shared data spaces are a simple composition mechanism, yet their efficient distributed implementation faces several complicating factors. One of these factors is that the communication needs of components may differ per data type, per application, and may even change over time. While existing data-space implementations treat all data equally, we propose a distributed data-space architecture that provides the means for differentiating distribution policies according to the type of data. Using this approach we are able to cater for the specific needs of the data. We maintain the transparency of the shared data space paradigm to the application programmer, but extend its capabilities for optimizing its efficiency.

KW - Component-based system

KW - Coordination

KW - Customization

KW - Distributed shared data space

KW - Separation of concerns

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M3 - Conference contribution

AN - SCOPUS:1642274027

SN - 1-892512-41-6

VL - 1

SP - 122

EP - 131

BT - Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003

A2 - Arabnia, Hamid R.

A2 - Mun, Youngsong

PB - CSREA Press

T2 - International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA 2003

Y2 - 23 June 2003 through 26 June 2003

ER -

Customizable data distribution for shared data spaces

Abstract

Conference

Keywords

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