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Integration of hybrid wireless networks in cloud services oriented enterprise information systems

Li, Shancang, Xu, Lida, Wang, Xinheng, Wang, Jue·2012·Enterprise Information Systems

Abstract

This article presents a hybrid wireless network integration scheme in cloud services-based enterprise information systems (EISs). With the emerging hybrid wireless networks and cloud computing technologies, it is necessary to develop a scheme that can seamlessly integrate these new technologies into existing EISs. By combining the hybrid wireless networks and computing in EIS, a new framework is proposed, which includes frontend layer, middle layer and backend layers connected to IP EISs. Based on a collaborative architecture, cloud services management framework and process diagram are presented. As a key feature, the proposed approach integrates access control functionalities within the hybrid framework that provide users with filtered views on available cloud services based on cloud service access requirements and user security credentials. In future work, we will implement the proposed framework over SwanMesh platform by integrating the UPnP standard into an enterprise information system.

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Metadata

Authors
Li, S., Xu, L., Wang, X., & Wang, J.
Venue
Enterprise Information Systems
Published
2012-05
Volume
6
Issue
2
Pages
165-187
ISSN
  • 1751-7575 (ISSN-L)
  • 1751-7583
OpenAlex
W2020443422
Cited by
197
References
0
FWCI
48.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Integration of hybrid wireless networks in cloud services oriented enterprise information systems. https://app.cochat.ai/papers/10.1080/17517575.2011.654266
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Li, S., Xu, L., Wang, X., & Wang, J. (2012). Integration of hybrid wireless networks in cloud services oriented enterprise information systems. Enterprise Information Systems. https://doi.org/10.1080/17517575.2011.654266

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.