Autonomous mobile programs

Xiao Yan Deng; Phil Trinder; Greg Michaelson

doi:10.1109/IAT.2006.42

Autonomous mobile programs

Xiao Yan Deng, Phil Trinder, Greg Michaelson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Citations (Scopus)

Abstract

To manage load on large and dynamic networks we propose Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute in the network. Unusually this form of autonomous mobility affects only where the program executes and not what it does. We present a generic AMP cost model, together with a validated instantiation and comparative performance results for two AMPs. Experiments on a homogeneous network show that collections of AMPs quickly obtain and maintain optimal or near-optimal balance. The advantages of our decentralised approach are scalability to very large and dynamic networks, improved balance, and guaranteed maximum overhead. The disadvantages are higher overheads and the necessity of both a cost model and explicit mobility control. © 2006 IEEE.

Original language	English
Title of host publication	Proceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06
Pages	177-183
Number of pages	7
DOIs	https://doi.org/10.1109/IAT.2006.42
Publication status	Published - 2007
Event	2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology - Hong Kong, China Duration: 18 Dec 2006 → 22 Dec 2006

Conference

Conference	2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Abbreviated title	IAT'06
Country/Territory	China
City	Hong Kong
Period	18/12/06 → 22/12/06

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10.1109/IAT.2006.42

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title = "Autonomous mobile programs",

abstract = "To manage load on large and dynamic networks we propose Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute in the network. Unusually this form of autonomous mobility affects only where the program executes and not what it does. We present a generic AMP cost model, together with a validated instantiation and comparative performance results for two AMPs. Experiments on a homogeneous network show that collections of AMPs quickly obtain and maintain optimal or near-optimal balance. The advantages of our decentralised approach are scalability to very large and dynamic networks, improved balance, and guaranteed maximum overhead. The disadvantages are higher overheads and the necessity of both a cost model and explicit mobility control. {\textcopyright} 2006 IEEE.",

author = "Deng, {Xiao Yan} and Phil Trinder and Greg Michaelson",

year = "2007",

doi = "10.1109/IAT.2006.42",

language = "English",

isbn = "9780769527482",

pages = "177--183",

booktitle = "Proceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06",

note = "2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT'06 ; Conference date: 18-12-2006 Through 22-12-2006",

}

TY - GEN

T1 - Autonomous mobile programs

AU - Deng, Xiao Yan

AU - Trinder, Phil

AU - Michaelson, Greg

PY - 2007

Y1 - 2007

N2 - To manage load on large and dynamic networks we propose Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute in the network. Unusually this form of autonomous mobility affects only where the program executes and not what it does. We present a generic AMP cost model, together with a validated instantiation and comparative performance results for two AMPs. Experiments on a homogeneous network show that collections of AMPs quickly obtain and maintain optimal or near-optimal balance. The advantages of our decentralised approach are scalability to very large and dynamic networks, improved balance, and guaranteed maximum overhead. The disadvantages are higher overheads and the necessity of both a cost model and explicit mobility control. © 2006 IEEE.

AB - To manage load on large and dynamic networks we propose Autonomous Mobile Programs (AMPs) that periodically use a cost model to decide where to execute in the network. Unusually this form of autonomous mobility affects only where the program executes and not what it does. We present a generic AMP cost model, together with a validated instantiation and comparative performance results for two AMPs. Experiments on a homogeneous network show that collections of AMPs quickly obtain and maintain optimal or near-optimal balance. The advantages of our decentralised approach are scalability to very large and dynamic networks, improved balance, and guaranteed maximum overhead. The disadvantages are higher overheads and the necessity of both a cost model and explicit mobility control. © 2006 IEEE.

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U2 - 10.1109/IAT.2006.42

DO - 10.1109/IAT.2006.42

M3 - Conference contribution

SN - 9780769527482

SP - 177

EP - 183

BT - Proceedings - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006 Main Conference Proceedings), IAT'06

T2 - 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology

Y2 - 18 December 2006 through 22 December 2006

ER -

Autonomous mobile programs

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