Negotiation to execute continuous long-term tasks

Valeriia Haberland; Simon Miles; Michael Luck

doi:10.3233/978-1-61499-419-0-1019

Negotiation to execute continuous long-term tasks

Valeriia Haberland, Simon Miles, Michael Luck

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

3 Citations (Scopus)

81 Downloads (Pure)

Abstract

Recently, research has focused on processing tasks that require continuous execution to produce data in a real-time manner. Such tasks often also need to be executed for long periods of time such as years, requiring large amounts of resources (e.g. CPUs) that can be found in a Grid. However, a Grid may be unwilling or unable to allocate resources for continuous usage far in advance, because of high fluctuations in resource availability and/or resource demand. Therefore, a client must relax its requirements in terms of long-term execution, and negotiate a shorter period of execution time; when this period ends, the client must negotiate again to continue task's execution. We propose a negotiation strategy, ConTask, which helps to increase the periods of execution time, and reduce the length of interruptions between them.

Original language	English
Title of host publication	Frontiers in Artificial Intelligence and Applications
Publisher	IOS Press
Pages	1019-1020
Number of pages	2
Volume	263
ISBN (Print)	9781614994183
DOIs	https://doi.org/10.3233/978-1-61499-419-0-1019
Publication status	Published - 2014
Event	21st European Conference on Artificial Intelligence, ECAI 2014 - Prague, Czech Republic Duration: 18 Aug 2014 → 22 Aug 2014

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	263
ISSN (Print)	09226389

Conference

Conference	21st European Conference on Artificial Intelligence, ECAI 2014
Country/Territory	Czech Republic
City	Prague
Period	18/08/2014 → 22/08/2014

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10.3233/978-1-61499-419-0-1019Licence: CC BY

FAIA263_1019Final published version, 132 KBLicence: CC BY

Cite this

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title = "Negotiation to execute continuous long-term tasks",

abstract = "Recently, research has focused on processing tasks that require continuous execution to produce data in a real-time manner. Such tasks often also need to be executed for long periods of time such as years, requiring large amounts of resources (e.g. CPUs) that can be found in a Grid. However, a Grid may be unwilling or unable to allocate resources for continuous usage far in advance, because of high fluctuations in resource availability and/or resource demand. Therefore, a client must relax its requirements in terms of long-term execution, and negotiate a shorter period of execution time; when this period ends, the client must negotiate again to continue task's execution. We propose a negotiation strategy, ConTask, which helps to increase the periods of execution time, and reduce the length of interruptions between them.",

author = "Valeriia Haberland and Simon Miles and Michael Luck",

year = "2014",

doi = "10.3233/978-1-61499-419-0-1019",

language = "English",

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series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

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note = "21st European Conference on Artificial Intelligence, ECAI 2014 ; Conference date: 18-08-2014 Through 22-08-2014",

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Haberland, V , Miles, S & Luck, M 2014, Negotiation to execute continuous long-term tasks. in Frontiers in Artificial Intelligence and Applications. vol. 263, Frontiers in Artificial Intelligence and Applications, vol. 263, IOS Press, pp. 1019-1020, 21st European Conference on Artificial Intelligence, ECAI 2014, Prague, Czech Republic, 18/08/2014. https://doi.org/10.3233/978-1-61499-419-0-1019

TY - CHAP

T1 - Negotiation to execute continuous long-term tasks

AU - Haberland, Valeriia

AU - Miles, Simon

AU - Luck, Michael

PY - 2014

Y1 - 2014

N2 - Recently, research has focused on processing tasks that require continuous execution to produce data in a real-time manner. Such tasks often also need to be executed for long periods of time such as years, requiring large amounts of resources (e.g. CPUs) that can be found in a Grid. However, a Grid may be unwilling or unable to allocate resources for continuous usage far in advance, because of high fluctuations in resource availability and/or resource demand. Therefore, a client must relax its requirements in terms of long-term execution, and negotiate a shorter period of execution time; when this period ends, the client must negotiate again to continue task's execution. We propose a negotiation strategy, ConTask, which helps to increase the periods of execution time, and reduce the length of interruptions between them.

AB - Recently, research has focused on processing tasks that require continuous execution to produce data in a real-time manner. Such tasks often also need to be executed for long periods of time such as years, requiring large amounts of resources (e.g. CPUs) that can be found in a Grid. However, a Grid may be unwilling or unable to allocate resources for continuous usage far in advance, because of high fluctuations in resource availability and/or resource demand. Therefore, a client must relax its requirements in terms of long-term execution, and negotiate a shorter period of execution time; when this period ends, the client must negotiate again to continue task's execution. We propose a negotiation strategy, ConTask, which helps to increase the periods of execution time, and reduce the length of interruptions between them.

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DO - 10.3233/978-1-61499-419-0-1019

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AN - SCOPUS:84923210371

SN - 9781614994183

VL - 263

T3 - Frontiers in Artificial Intelligence and Applications

SP - 1019

EP - 1020

BT - Frontiers in Artificial Intelligence and Applications

PB - IOS Press

T2 - 21st European Conference on Artificial Intelligence, ECAI 2014

Y2 - 18 August 2014 through 22 August 2014

ER -

Negotiation to execute continuous long-term tasks

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