Deployment of Service Oriented architecture in MANET: A research roadmap

Choudhury, Prasenjit; Sarkar, Anirban; Debnath, Narayan C.

doi:10.1109/indin.2011.6034957

Cited by 11 publications

(4 citation statements)

References 19 publications

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“…Choudhury et al [13] discuss challenges for deploying service oriented architecture on Mobile Adhoc Networks. They describe that mobile nodes can provide services to other nodes.…”

Section: Related Workmentioning

confidence: 99%

Modeling Support for Mobile Ambients in Service Oriented Architecture

Alí

Chen

Solís³

2012

2012 IEEE First International Conference on Mobile Services

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Abstract-Service Oriented Architecture (SOA) is a promising approach for designing and developing mobile applications. However, SOA concepts need to be combined with mobile principles to fully accommodate their requirements. Previously, a metamodel called Ambient-SoaML has been defined, which combines the Service Oriented Architecture Modeling Language (SoaML) and Mobile Ambients concepts inspired from Ambient Calculus. In this paper, a modeling tool that supports designing service oriented architecture of mobile systems based on Ambient-SoaML is presented. The tool allows users to graphically design Ambient-SoaML architectures and ensures that they are correctly built. The tool is an eclipse plug-in and has been implemented following Model Driven Architecture (MDA) principles and associated technologies. A running example is used to illustrate the features of the tool.

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“…Choudhury et al [13] discuss challenges for deploying service oriented architecture on Mobile Adhoc Networks. They describe that mobile nodes can provide services to other nodes.…”

Section: Related Workmentioning

confidence: 99%

Modeling Support for Mobile Ambients in Service Oriented Architecture

Alí

Chen

Solís³

2012

2012 IEEE First International Conference on Mobile Services

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“…[1]. Nevertheless, the Local Mobile Cloud approach is typically supported by a Mobile Ad-Hoc NETwork (MANET), which poses new challenges [12] such as battery problems, dynamic topology among others, that must be appropriately addressed to ensure the dependability of the Mobile Cloud. Dependability concepts involve the quality attributes of availability, reliability, safety, and integrity [6], of which availability is particularly susceptible to the dynamicity of the network topology that characterize the mobile networks.…”

Section: Introductionmentioning

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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“…The context for our work is instead service-based systems deployed on mobile ad hoc networks (MANETs) [1], [10], [16], [21]. Mobility and ad hoc networking bring increased dynamicity to service dependencies, beyond those caused by the basic run-time service-binding regime of SOA or Web Services.…”

Section: Introductionmentioning

confidence: 99%

On-Demand Discovery of Software Service Dependencies in MANETs

Novotný

Wolf

2015

IEEE Trans. Netw. Serv. Manage.

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The dependencies among the components of serviceoriented software applications hosted in a mobile ad hoc network (MANET) are difficult to determine due to the inherent loose coupling of the services and the transient communication topologies of the network. Yet understanding these dependencies is critical to making good management decisions, since dependence data underlie important analyses such as fault localization and impact analysis. Current methods for discovering dependencies, developed primarily for fixed networks, assume that dependencies change only slowly and require relatively long monitoring periods as well as substantial memory and communication resources, all of which are impractical in the MANET environment. We describe a new dynamic dependence discovery method designed specifically for this environment, yielding dynamic snapshots of dependence relationships discovered through observations of service interactions. We evaluate the performance of our method in terms of the accuracy of the discovered dependencies, and draw insights on the selection of critical parameters under various operational conditions. Although operated under more stringent conditions, our method is shown to provide results comparable to or better than existing methods.

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Deployment of Service Oriented architecture in MANET: A research roadmap

Cited by 11 publications

References 19 publications

Modeling Support for Mobile Ambients in Service Oriented Architecture

Modeling Support for Mobile Ambients in Service Oriented Architecture

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

On-Demand Discovery of Software Service Dependencies in MANETs

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