Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies

Vitaly Buravlev; Rocco De Nicola; Alberto Lluch Lafuente; Claudio Antares  Mezzina

doi:10.1109/PDP2018.2018.00052

Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies

Vitaly Buravlev, Rocco De Nicola, Alberto Lluch Lafuente, Claudio Antares Mezzina

Department of Applied Mathematics and Computer Science

IMT Institute for Advanced Studies Lucca

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

Data availability is a key aspect of modern distributed systems. We discuss an extension of coordination languages based on tuple spaces with programming abstractions for sharing data and guaranteeing availability with different consistency guarantees. Data can be spread over the system according to user-specified replica placement strategies and user-specified consistency requirements. The framework takes care then of low-level management of the replicas, so that the programmer can just focus on the business logic of the application. We advocate that the proposed programming primitives are beneficial for data-oriented applications where different kinds of data may have different needs in terms of availability and consistency.

Original language	English
Title of host publication	Proceedings of 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
Publisher	IEEE
Publication date	2018
Pages	302-5
ISBN (Print)	978-1-5386-4975-6
DOIs	https://doi.org/10.1109/PDP2018.2018.00052
Publication status	Published - 2018
Event	26th Euromicro International Conference on Parallel, Distributed and Network-based Processing - Cambridge, United Kingdom Duration: 21 Mar 2018 → 23 Mar 2018 Conference number: 26

Conference

Conference	26th Euromicro International Conference on Parallel, Distributed and Network-based Processing
Number	26
Country/Territory	United Kingdom
City	Cambridge
Period	21/03/2018 → 23/03/2018

Bibliographical note

See details at https://ieeexplore.ieee.org/document/8374475/

Keywords

Tuple Spaces
Dynamic replication
Data consistency
Network

Access to Document

10.1109/PDP2018.2018.00052

OpenUrl availability

Full text

Cite this

@inproceedings{21d47c148ae3489e8d3cfa5cb7d45c6b,

title = "Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies",

abstract = "Data availability is a key aspect of modern distributed systems. We discuss an extension of coordination languages based on tuple spaces with programming abstractions for sharing data and guaranteeing availability with different consistency guarantees. Data can be spread over the system according to user-specified replica placement strategies and user-specified consistency requirements. The framework takes care then of low-level management of the replicas, so that the programmer can just focus on the business logic of the application. We advocate that the proposed programming primitives are beneficial for data-oriented applications where different kinds of data may have different needs in terms of availability and consistency.",

keywords = "Tuple Spaces, Dynamic replication, Data consistency, Network",

author = "Vitaly Buravlev and {De Nicola}, Rocco and {Lluch Lafuente}, Alberto and Mezzina, {Claudio Antares}",

note = "See details at https://ieeexplore.ieee.org/document/8374475/; 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, PDP 2018 ; Conference date: 21-03-2018 Through 23-03-2018",

year = "2018",

doi = "10.1109/PDP2018.2018.00052",

language = "English",

isbn = "978-1-5386-4975-6",

pages = "302--5",

booktitle = "Proceedings of 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)",

publisher = "IEEE",

address = "United States",

}

Buravlev, V, De Nicola, R, Lluch Lafuente, A & Mezzina, CA 2018, Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies. in Proceedings of 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). IEEE, pp. 302-5, 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Cambridge, United Kingdom, 21/03/2018. https://doi.org/10.1109/PDP2018.2018.00052

Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies. / Buravlev, Vitaly; De Nicola, Rocco; Lluch Lafuente, Alberto et al.
Proceedings of 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP). IEEE, 2018. p. 302-5.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies

AU - Buravlev, Vitaly

AU - De Nicola, Rocco

AU - Lluch Lafuente, Alberto

AU - Mezzina, Claudio Antares

N1 - Conference code: 26

PY - 2018

Y1 - 2018

N2 - Data availability is a key aspect of modern distributed systems. We discuss an extension of coordination languages based on tuple spaces with programming abstractions for sharing data and guaranteeing availability with different consistency guarantees. Data can be spread over the system according to user-specified replica placement strategies and user-specified consistency requirements. The framework takes care then of low-level management of the replicas, so that the programmer can just focus on the business logic of the application. We advocate that the proposed programming primitives are beneficial for data-oriented applications where different kinds of data may have different needs in terms of availability and consistency.

AB - Data availability is a key aspect of modern distributed systems. We discuss an extension of coordination languages based on tuple spaces with programming abstractions for sharing data and guaranteeing availability with different consistency guarantees. Data can be spread over the system according to user-specified replica placement strategies and user-specified consistency requirements. The framework takes care then of low-level management of the replicas, so that the programmer can just focus on the business logic of the application. We advocate that the proposed programming primitives are beneficial for data-oriented applications where different kinds of data may have different needs in terms of availability and consistency.

KW - Tuple Spaces

KW - Dynamic replication

KW - Data consistency

KW - Network

U2 - 10.1109/PDP2018.2018.00052

DO - 10.1109/PDP2018.2018.00052

M3 - Article in proceedings

SN - 978-1-5386-4975-6

SP - 302

EP - 305

BT - Proceedings of 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)

PB - IEEE

T2 - 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing

Y2 - 21 March 2018 through 23 March 2018

ER -

Improving Availability in Distributed Tuple Spaces Via Sharing Abstractions and Replication Strategies

Abstract

Conference

Bibliographical note

Keywords

Access to Document

OpenUrl availability

Fingerprint

Cite this