Consistent Management of Context Information in Ubiquitous Systems

Guerrero-Contreras, Gabriel; Garrido, José Luis García; Balderas-Díaz, Sara; Rodríguez-Domínguez, Carlos

doi:10.1007/978-3-319-11692-1_16

Cited by 2 publications

(1 citation statement)

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“…In addition to these events, it is worth mentioning the prediction of a network partition. A network partition can affect the availability of a service and the constancy of the shared information [5]. [2] observed that in wireless ad-hoc networks, the network topology changes dynamically and erratically due to node mobility, and that such topological dynamics are further exacerbated by the natural grouping behavior as users move from one end to the other, which frequently leads to network partitioning.…”

Section: Related Workmentioning

confidence: 99%

Push and Update Model for Supporting Service Availability in a Local Mobile Cloud

Oladeji¹,

Omotosho²

2019

IJCA

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Mobile cloud computing (MCC) is the blend of cloud computing, mobile computing and wireless network to solve resource limitations of mobile devices by providing virtualized computing resources and services in a shared and scalable environment through network on a pay per use model to mobile clients. The availability of these active servicesstorage, google mail etc-in the mobile cloud keep the mobile cloud active and relevant. Research reveals that battery plays a major role in the provisioning of a service in a mobile cloud. However, Mobile Ad-hoc Network (MANET) as a platform that support local mobile cloud exhibits battery problems that pose greater challenges to the availability of a service as users move from one node to the other. Hence, this work aims at reducing the energy requirement of the monitoring service system in a local mobile network using a push and update technique.A push and update service monitoring model was developed and simulated on ns-3 to monitor service availability and necessary device status parameters such as energy level, processing power and storage capacity of mobile devices (nodes) in MANET. The push and update table was used to hold necessary device information by the service monitoring system which enables it to rest (come up at set time intervals) and alternate between two modes (Hibernation and Activation), and by so doing it saves computing resource and energy for other computation tasks. The model was evaluated by comparing it with the existing framework using service availability and battery consumption.The simulation results revealed on average 96.86% and 676.73mAh, of service availability and battery consumption respectively, for the developed PUP model, against 95.93% and 895.43mAh of average service availability and battery consumption respectively, for the existing framework.

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Section: Related Workmentioning

confidence: 99%