Context-aware service roaming for heterogeneous embedded devices over cloud

Lei Jing; Yinghui Zhou; Zixue Cheng; Neil Y. Yen; James J. Park

doi:10.1016/j.sysarc.2013.02.006

Context-aware service roaming for heterogeneous embedded devices over cloud

Lei Jing, Yinghui Zhou, Zixue Cheng, Neil Y. Yen, James J. Park

Dept. of Computer Science and Engineering

The University of Aizu

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Cloud computing advocates a promising paradigm that facilitates the access within heterogeneous services, platforms, and end users. However, platforms (or host servers) have confined to devices which require a considerable computing resources. In this case, solutions concerning the efficient use of pervasive devices with constrained resources become an open issue. This study investigates the seamless connection between embedded devices and cloud resources to enhance the capability of computing and furthermore provide context-aware services. A method for wireless program dissemination and boot loading is proposed to transfer necessary information and resources between service and target device(s). The experiment results on time delay and energy cost demonstrate the feasibility and performance.

Original language	English
Pages (from-to)	776-784
Number of pages	9
Journal	Journal of Systems Architecture
Volume	59
Issue number	9
DOIs	https://doi.org/10.1016/j.sysarc.2013.02.006
State	Published - 2013

Keywords

Cloud computing
Data dissemination
Embedded device
Magic Ring
Network programming
Over The Air Programming
Reprogramming

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10.1016/j.sysarc.2013.02.006

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title = "Context-aware service roaming for heterogeneous embedded devices over cloud",

abstract = "Cloud computing advocates a promising paradigm that facilitates the access within heterogeneous services, platforms, and end users. However, platforms (or host servers) have confined to devices which require a considerable computing resources. In this case, solutions concerning the efficient use of pervasive devices with constrained resources become an open issue. This study investigates the seamless connection between embedded devices and cloud resources to enhance the capability of computing and furthermore provide context-aware services. A method for wireless program dissemination and boot loading is proposed to transfer necessary information and resources between service and target device(s). The experiment results on time delay and energy cost demonstrate the feasibility and performance.",

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AU - Zhou, Yinghui

AU - Cheng, Zixue

AU - Yen, Neil Y.

AU - Park, James J.

PY - 2013

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N2 - Cloud computing advocates a promising paradigm that facilitates the access within heterogeneous services, platforms, and end users. However, platforms (or host servers) have confined to devices which require a considerable computing resources. In this case, solutions concerning the efficient use of pervasive devices with constrained resources become an open issue. This study investigates the seamless connection between embedded devices and cloud resources to enhance the capability of computing and furthermore provide context-aware services. A method for wireless program dissemination and boot loading is proposed to transfer necessary information and resources between service and target device(s). The experiment results on time delay and energy cost demonstrate the feasibility and performance.

AB - Cloud computing advocates a promising paradigm that facilitates the access within heterogeneous services, platforms, and end users. However, platforms (or host servers) have confined to devices which require a considerable computing resources. In this case, solutions concerning the efficient use of pervasive devices with constrained resources become an open issue. This study investigates the seamless connection between embedded devices and cloud resources to enhance the capability of computing and furthermore provide context-aware services. A method for wireless program dissemination and boot loading is proposed to transfer necessary information and resources between service and target device(s). The experiment results on time delay and energy cost demonstrate the feasibility and performance.

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KW - Data dissemination

KW - Embedded device

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KW - Network programming

KW - Over The Air Programming

KW - Reprogramming

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Context-aware service roaming for heterogeneous embedded devices over cloud

Abstract

Keywords

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