Provisioning Web Services from Resource Constrained Mobile Devices

Hassan, Mahbub; Zhao, Weiliang; Yang, Jian

doi:10.1109/cloud.2010.30

Cited by 32 publications

(22 citation statements)

References 10 publications

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“…Service developers may annotate particular operations to be strictly executed on mobile systems due to security reasons or privacy concerns such as the case when a provider wishes to ensure full privacy of its users' information. Although current service description standards do not support such annotation, a recent initiative has been proposed by Hassan et al [5] on how to specify the execution environment in the service description.…”

Section: Execution Plannermentioning

confidence: 99%

“…This middleware supports service migration where mobile providers may choose to switch to an alternate server due to close proximity or better connectivity. Hassan et al [5] present a distributed mobile service provisioning framework that partitions the execution of resource-intensive services between the mobile provider and a backend server. The framework offers a distributed execution engine where tasks that require real time access to local resources are executed on the mobile devices, while the remaining processing is offloaded to a remote server.…”

Section: A Mobile Devices As Service Providersmentioning

confidence: 99%

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Cloud-Assisted Computation Offloading to Support Mobile Services

Elgazzar

Martin

Hassanein

2016

IEEE Trans. Cloud Comput.

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The widespread use and increasing capabilities of mobiles devices are making them a viable platform for offering mobile services. However, the increasing resource demands of mobile services and the inherent constraints of mobile devices limit the quality and type of functionality that can be offered, preventing mobile devices from exploiting their full potential as reliable service providers. Computation offloading offers mobile devices the opportunity to transfer resourceintensive computations to more resourceful computing infrastructures. We present a framework for cloud-assisted mobile service provisioning to assist mobile devices in delivering reliable services. The framework supports dynamic offloading based on the resource status of mobile systems and current network conditions, while satisfying the user-defined energy constraints. It also enables the mobile provider to delegate the cloud infrastructure to forward the service response directly to the user when no further processing is required by the provider. Performance evaluation shows up to 6x latency improvement for computation-intensive services that do not require large data transfer. Experiments show that the operation of the cloud-assisted service provisioning framework does not pose significant overhead on mobile resources, yet it offers robust and efficient computation offloading.

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Section: Execution Plannermentioning

confidence: 99%

Section: A Mobile Devices As Service Providersmentioning

confidence: 99%

Cloud-Assisted Computation Offloading to Support Mobile Services

Elgazzar

Martin

Hassanein

2016

IEEE Trans. Cloud Comput.

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“…Several studies address the resource limitations on mobile devices while providing mobile services from different perspectives. Some studies propose offloading resource-intensive tasks to either the cloud [34], [43], [85] or nearby capable computing machines [86]. The offloading approach offers mobile devices the flexibility to customize the service interactions and optimize the resource consumption [87].…”

Section: Performance Of Mobile Servicesmentioning

confidence: 99%

“…However, semantic discovery is a resource-intensive process that conflicts with the resource constraints of mobile environments. This problem can be approached in two ways, either augmenting the capability of mobile devices thorough cloud computing [34], [35] or optimizing semantic descriptions and reasoning to accommodate the various constraints of mobile environments [36]. Cloud computing seems to be more reasonable approach, especially with the latest widespread deployments and adoption of cloud services.…”

Section: B Web Service Descriptionmentioning

confidence: 99%

Mobile Web Services: State of the Art and Challenges

Elgazzar¹,

Martin²

2014

IJACSA

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Abstract-For many years mobile devices were commonly recognized as Web consumers. However, the advancements in mobile device manufacturing, coupled with the latest achievements in wireless communication developments are both key enablers for shifting the role of mobile devices from service consumers to service providers. This paradigm shift is a major step towards the realization of pervasive and ubiquitous computing. Mobile Web service provisioning is the art of hosting and offering Web services from mobile devices, which actively contributes towards the direction of Mobile Internet. In this paper, we provide the state of the art of mobile service provisioning as it currently stands. We focus our discussions on its applicability, reliability, and challenges of mobile environments and resource constraints. We study the different provisioning architectures, enabler technologies, publishing and discovery mechanisms, and maintenance of up-to-date service registries. We point out the major open research issues in each provisioning aspect. Performance issues due to the resource constraints of mobile devices are also discussed.

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“…6], diations and notify users is s. This work proposes an -sensor communication. To search questions need to be ely addressed in this paper.…”

mentioning

confidence: 99%

Mobile hosting and sensor eco-system for radiation detection

Lomotey

Deters

2015

2015 Annual IEEE Systems Conference (SysCon) Proceedings

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Gamma ray is an electromagnetic radiation with a very high frequency that can be biologically hazardous. Most workers in the mining, manufacturing, security, and other industries find themselves in such hazardous environments and governments are trying to contain this issue. While traditionally, high gamma radiation detection sensors have been manufactured to be carried along by users, they are not good access point for actual dosage readings. With the recent advancement in mobile technology, this paper proposes a mobile hosting architecture to enable mobile-to-sensor communication following the edge-based technique. This means the sensor can detect the radiation and send readings to a smartphone device of the user. All other nearby mobile devices (which are authorized) will receive the notification to alert the people in the hazard zone. In this paper, the notification dissemination is developed based on the sequential flow pattern. The proposed work is tested and the results show that detected radiations are sent in soft real-time to the mobile devices.

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Provisioning Web Services from Resource Constrained Mobile Devices

Cited by 32 publications

References 10 publications

Cloud-Assisted Computation Offloading to Support Mobile Services

Cloud-Assisted Computation Offloading to Support Mobile Services

Mobile Web Services: State of the Art and Challenges

Mobile hosting and sensor eco-system for radiation detection

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