Mobile Crowd Computing with Mobile Agents and Work Stealing

Mobile Crowd Computing (MCC) is a computing paradigm that leverages the collective power of idle smart mobile devices to perform computationally demanding tasks. Since a mobile crowd consists of diverse smart mobile devices (i.e. varying processing capacities, memory, battery, etc.) load balancing b...

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Published inMoratuwa Engineering Research Conference pp. 97 - 102
Main Authors Kiridana, Thamindu Bandara, Kapukotuwa, Sathsarani, Dissanayake, Bhanuja Sasanka, Gunasekera, Kutila
Format Conference Proceeding
LanguageEnglish
Published IEEE 08.08.2024
Subjects
Batteries
load balancing
Load management
Mobile agents
mobile crowd computing (MCC)
Mobile handsets
Navigation
Operating systems
Performance evaluation
Prototypes
Usability
work stealing
Online AccessGet full text
ISSN2691-364X
DOI10.1109/MERCon63886.2024.10688742

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Abstract Mobile Crowd Computing (MCC) is a computing paradigm that leverages the collective power of idle smart mobile devices to perform computationally demanding tasks. Since a mobile crowd consists of diverse smart mobile devices (i.e. varying processing capacities, memory, battery, etc.) load balancing becomes an important aspect to achieve expected outcomes. We hypothesize that effective load balancing for MCC can be achieved using a combination of mobile agents and a work stealing approach. Thus, in this paper, we present the design, implementation, and evaluation of our mobile agent based MCC framework which uses work stealing for load balancing.
AbstractList Mobile Crowd Computing (MCC) is a computing paradigm that leverages the collective power of idle smart mobile devices to perform computationally demanding tasks. Since a mobile crowd consists of diverse smart mobile devices (i.e. varying processing capacities, memory, battery, etc.) load balancing becomes an important aspect to achieve expected outcomes. We hypothesize that effective load balancing for MCC can be achieved using a combination of mobile agents and a work stealing approach. Thus, in this paper, we present the design, implementation, and evaluation of our mobile agent based MCC framework which uses work stealing for load balancing.
Author Gunasekera, Kutila
Kapukotuwa, Sathsarani
Dissanayake, Bhanuja Sasanka
Kiridana, Thamindu Bandara
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  organization: University of Moratuwa,Department of Computer Science and Engineering,Moratuwa,Sri Lanka
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StartPage 97
SubjectTerms Batteries
load balancing
Load management
Mobile agents
mobile crowd computing (MCC)
Mobile handsets
Navigation
Operating systems
Performance evaluation
Prototypes
Usability
work stealing
Title Mobile Crowd Computing with Mobile Agents and Work Stealing
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