Collaboration among mobile agents for efficient energy allocation in mobile grid

Li, Chunlin

doi:10.1007/s10796-011-9298-9

Cited by 10 publications

(3 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scheme uses a price‐directed approach to allocate the appropriate grid resources. The scheme proposed in also focuses on processing energy consumption while in , the cooperation among mobile devices is investigated to balance the energy consumption and the computation workload. The scheme proposed in focuses on power‐aware allocation to support the adaptation needs of ad hoc applications such as changes in the network topology and the application behavior.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, the resource allocation schemes proposed for traditional distributed systems cannot be used in mobile ad hoc computational grids. The resource allocation schemes proposed for mobile cloud or computational grids are based on either a preexisting network infrastructure such as a cellular network or a decentralized architecture that results in poor allocation decisions due to the lack of a network‐wide view. The schemes also do not consider the dependencies between tasks and therefore the data transfer time and energy consumed in the transmission of data.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Energy efficient and robust allocation of interdependent tasks on mobile ad hoc computational grid

Shah

2014

Concurrency and Computation

View full text Add to dashboard Cite

Summary A mobile ad hoc computational grid is a distributed computing infrastructure that allows mobile nodes to share computing resources in a mobile ad hoc environment. Compared to traditional distributed systems such as grids and clouds, resource allocation in mobile ad hoc computational grids is not straightforward because of node mobility, limited battery power and an infrastructure‐less network environment. The existing schemes are either based on a decentralized architecture that results in poor allocation decisions or assume independent tasks. This paper presents a scheme that allocates interdependent tasks and aims to reduce task completion time and the amount of energy consumed in transmission of data. This scheme comprises two key algorithms: resource selection and resource allocation. The resource selection algorithm is designed to select nodes that remain connected for a longer period, whereas the resource assignment or allocation algorithm is developed to allocate interdependent tasks to the nodes that are accessible at the minimum transmission power. The scheme is based on a hybrid architecture that results in effective allocation decisions, reduces the communication cost associated with the exchange of control information, and distributes the processing burden among the nodes. The paper also investigates the relationship between the data transfer time and transmission energy consumption and presents a power‐based routing protocol to reduce data transfer costs and transmission energy consumption. Copyright © 2014 John Wiley & Sons, Ltd.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy efficient and robust allocation of interdependent tasks on mobile ad hoc computational grid

Shah

2014

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…The organization can improve its performance at run time by adapting to the needs and demands of the market. Similar to the domain proposed in this case study, other domains with restrictions could also be used ( [87]).…”

Section: Case Studymentioning

confidence: 99%

TRAMMAS: Enhancing Communication in Multiagent Systems

Rapa¹,

Antônio²

View full text Add to dashboard Cite

Desde que empecé, allá por el 2004, he ido leyendo los agradecimientos en las tesis de mis compañeros, al tiempo que fantaseaba con lo que pondría en los de la mía. No me explico cómo, después de tantos años pensando, no se me ocurre nada ahora que por fin me toca a mí. Me vienen tantos momentos y personas a la mente que me siento como un tiburón frente a un banco de peces: no sé ni por qué o quién empezar. Gracias sobre todo a mi familia, por estar ahí siempre y ser una de esas patas que a veces me falta para mantenerme en pie y seguir caminando. Es algo que se suele dar por hecho, pero en realidad no todo el mundo tiene la suerte que he tenido yo con ellos. Gracias a Andrés y Vicente, mis dos directores, por su paciencia y su tesón, por saber encarrilarme cuando tiendo al caos, por saber darme caña cuando ha llegado el momento para poder ponerle el punto final al trabajo de estos años y, sobre todo, por ser mucho más que unos directores de tesis. Creo que hace unos meses ninguno de los tres pensaba que este trabajo se llegase a acabar. Gracias por no tirar la toalla. ¡Cañas y pintas por doquier! Gracias también a Vicente Botti por dejarme jugar con sus trenes allá por el 2002, por haber contado conmigo todo este tiempo y por amenazar con robarme las guitarras si no acababa. Gracias a Ana García-Fornes y a Agustín Espinosa, sin cuyo trabajo una parte importante de esta tesis no se habría llevado a cabo. Gracias infinitas a todos los compañeros y amigos del GTI-YA (GTI-IA Y Adyacentes), por hacer que las horas de trabajo, los volcados de pila en hexadecimal, los malabarismos de L A T E X, los accept y reject, las noches, festivos y vacaciones al pie del cañón pasasen siempre entre cafés, pandorinos, cervezas, testeos de red, charlas de autobús, verbenas, conciertos, películas y muchas, muchas risas: IX provided in the same way than other traditional services offered by the platform. In this way, event tracing can be considered as an additional information provider for entities in the multiagent system, and as such, it can be integrated from the earliest stages of the development process.

show abstract