Mobile Cloud e-Gov Design and Implementation Using WebSockets API

Kim, Young-Hyuk; Lim, Il-Kown; Kang, Seung-gu; Lee, Jae-Kwang

doi:10.1007/978-3-642-22333-4_25

Cited by 3 publications

(4 citation statements)

References 1 publication

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“…M-Gov cloud is a new e-Gov paradigm that incorporates MCC's essential characteristics (i.e., mobility, on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service) [31]. e technology provides a high level of integrated e-Gov service to many users by bringing web service of each government organization distributed into virtualized mobile service space by using mobile cloud computing [24]. Introducing the MCC to e-Gov has various benefits.…”

Section: Definition and Adoption Of Mobile Cloud Computing Andmentioning

confidence: 99%

“…is proposed infrastructure suggests that e-Gov portal and web service for integration with mobile devices are installed on virtual machines in the cloud computing infrastructure. Kim et al designed MCC e-Gov using Korea central government cloud cluster by using WebSockets API newly added to HTML5, to improve the real-time performance of mobile applications [24]. Kharma et al proposed a 3-tier mediation framework based on private cloud computing for adapting the content of M-Gov services using RBAC and derive unique key per transaction (DUKPT) [23].…”

Section: Definition and Adoption Of Mobile Cloud Computing Andmentioning

confidence: 99%

“…First, our findings make essential contributions to m-Gov cloud adoption literature on factors that influence m-Gov cloud adoption in government agencies. Previous studies on m-Gov cloud focus on the benefits and challenges analysis [20,21], architecture and framework of design, implementation, and deployment [23,24]. Few studies have developed an integrated model for systematically examining determinants of m-Gov cloud adoption in government agencies from innovation adoption perspectives.…”

Section: Principal Findingsmentioning

confidence: 99%

“…Previous studies of m-Gov cloud focus on the benefits and challenges analysis [20,21] and architecture and framework of design, implementation, and deployment [23,24]. However, few studies have explored the determinants and mechanisms of m-Gov cloud adoption from innovation adoption perspectives.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adoption of Mobile Government Cloud from the Perspective of Public Sector

Liang

Wang

Dong

et al. 2021

Mobile Information Systems

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Mobile cloud computing (MCC) has been widely used in every aspect of our society, bringing both advantages and challenges. However, the adoption of MCC technology is still at an early stage of implementation in the governments. To promote the adoption and diffusion of MCC in the government area, exploring the determinants and influence mechanisms of mobile cloud computing-based government (m-Gov cloud) adoption has become the focus in academic and industry. Based on the technology-organization-environment framework and trust theory at the organizational level, an integrated model including the determinants on the adoption of m-Gov cloud is proposed, and 93 survey samples from China are used to analyzed by partial least squares structural equation modeling (PLS-SEM). The results show that provider competence, organizational readiness, external pressure, and trust of m-Gov cloud have significant effects on m-Gov cloud adoption. Perceived benefit, perceived risk, and provider competence have significant effects on m-Gov cloud trust. The m-Gov cloud trust plays an indirect-only (full) mediation and a complementary (partial) mediation effect between perceived benefit, provider competence, and m-Gov cloud adoption, respectively, while perceived risk has no significant direct and indirect effect on m-Gov cloud adoption. The findings provide a new research perspective and practice insights to promote the implementation of solutions based on the idea of mobile cloud computing.

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Section: Definition and Adoption Of Mobile Cloud Computing Andmentioning

confidence: 99%

Section: Definition and Adoption Of Mobile Cloud Computing Andmentioning

confidence: 99%

Section: Principal Findingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adoption of Mobile Government Cloud from the Perspective of Public Sector

Liang

Wang

Dong

et al. 2021

Mobile Information Systems

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Near real-time medical data dissemination in m-Health

Lomotey

Kazi

Deters

2012

Proceedings of the International Conference on Management of Emergent Digital EcoSystems

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The health sector is one of the primary beneficiaries of the smartphone and tablet boom. These devices are employed by the healthcare professionals to facilitate varying forms of healthcare delivery known as m-Health. But more specifically, these devices are used as medical data consumption nodes. However, mobile devices primarily communicate over wireless mediums and this leads to undesired communication latency in large mobile distributed systems due to the intermittent loss in connectivity.Since m-Health is a mission critical information system, this paper proposes a novel events-oriented mobile cloud computing framework that facilitates near real-time data propagation. The medical records are modeled as events which are disseminated to the healthcare professionals following the publish/subscribe technique. The WebSocket connection is also put forward ahead of the asynchronous polling technique in order to minimize latency. The evaluation of the architecture shows that the healthcare professionals are able to send medical data in a lowlatency fashion compared to other existing techniques such as the HTTP polling and long-polling techniques.

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Cloud Computing in eGovernment

Dermentzi

Tambouris

Tarabanis

2016

International Journal of Electronic Government Research

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Electronic Government (eGovernment) is currently facing significant challenges particularly due to the economic crisis which suggests governments should provide more with fewer resources. During the last few years, cloud computing emerged as a new computing paradigm with significant potential. The use of cloud computing in eGovernment has inevitably attracted significant attention from the research community. However, views of researchers and practitioners about the ways and the extent to which cloud computing can be adopted at the national level in order to facilitate eGovernment vary notably. The aim of this paper is to map cloud computing adoption by governments. For this purpose, a stage model was developed by employing the thematic analysis method based on both academic and grey literature. The proposed model is applicable at the national level and consists of four stages: ad-hoc eGov cloud solutions, cloud-based public services, eGov cloud(s) and diffusion of cloud computing in eGov. It should be noted that at this phase the authors' research is of an exploratory nature thus the model has not been validated with empirical data. Its purpose is to facilitate further research on the topic and help governments determine their progress in adopting cloud computing.

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Mobile Cloud e-Gov Design and Implementation Using WebSockets API

Cited by 3 publications

References 1 publication

Adoption of Mobile Government Cloud from the Perspective of Public Sector

Adoption of Mobile Government Cloud from the Perspective of Public Sector

Near real-time medical data dissemination in m-Health

Cloud Computing in eGovernment

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