Development of Smart Cities in Taiwan From the Perspective of Cloud Computing Security

Wu, Shiann Ming; Wu, Yung Chang

doi:10.5194/isprs-archives-xlii-4-w16-667-2019

Cited by 3 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Privacy and security are critical elements of concern in the establishment of e-government in countries around the world [16]. However, these elements can be a barrier to the implementation of e-government in developing countries.…”

Section: B Security and Privacymentioning

confidence: 99%

Issues and Challenges: Cloud Computing e-Government in Developing Countries

Mudawi¹,

Beloff²,

White³

2020

IJACSA

View full text Add to dashboard Cite

Cloud computing has become essential for IT resources that can be delivered as a service over the Internet. Many e-government services that are used worldwide provide communities with relatively complex applications and services. Governments are still facing many challenges in their implementation of e-government services in general, including Saudi Arabia, such as poor IT infrastructure, lack of finance, and insufficient data security. This research paper investigates the challenges of e-government cloud service models in developing countries. This paper finds that governments in developing countries are influenced by how the top management deals with the attention to the adoption of cloud computing. Further, organisational readiness levels of technologies, such as IT infrastructure, internet availability and social trust of the adoption of new technology as cloud computing, still present limitations for e-government cloud services adoption. Based on the findings of the critical review, this paper identifies the issues and challenges affecting the adoption of cloud computing in egovernment such as IT infrastructure, internet availability, and trust adopted new technologies thereby highlighting benefits of cloud computing-based e-government services. Furthermore, we propose recommendations for developing IT systems focused on trust when adopting cloud computing in e-government services (CCEGov).

show abstract

Section: B Security and Privacymentioning

confidence: 99%

Issues and Challenges: Cloud Computing e-Government in Developing Countries

Mudawi¹,

Beloff²,

White³

2020

IJACSA

View full text Add to dashboard Cite

show abstract

Comprehensive Challenges to E-government in Iraq

Abdali,

Hussain,

Abduljabbar

et al. 2024

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

The 3-Axis Scalable Service-Cloud Resource Modeling for Burst Prediction Under Smart Campus Scenario

et al. 2021

View full text Add to dashboard Cite

Internet of Things (IoT) enables smart campuses more convenient for cloud services. The availability of cloud resources to its users appears as a fundamental challenge. The existing research presents several auto-scaling techniques to scale the resources with the increase in users' demands. However, still, the cloud users of auto-scaled servers experience service disruption, delayed responses, and the occurrence of service bursts. The prevailing burst management framework exhibits limitations in the context of burdening the existing auto-scaled machines for cost estimation and resource allocation. This research presents a 3axis auto-scaling framework for load balancing and resource allocation by incorporating a dedicated cost estimator and allocator (on the z-axis). The cost estimation server develops a log of existing load estimates of vertical and horizontal servers and scales the new users' requests in case the vertical threshold is breached with new requests. The cost estimator, in its data structure, keeps track of the current resources available at both vertical and horizontal servers. The historical information of available resources and the new resources' requests is decided by the cost estimator as per demand and supply scenario. The general characteristics of servers are resources pooling, requests queue development, burst identification, automatic scaling, and load balancing. The cost estimator also prioritizes vertical servers for resource allocations, and switches to the horizontal server when the vertical server reaches its 75% quota of resources. The study simulates 1000 users' requests of smart campus, adopts state-of-the-art ensemble with bagging strategy and handles an effective class imbalance situation.

show abstract

Development of Smart Cities in Taiwan From the Perspective of Cloud Computing Security

Cited by 3 publications

References 12 publications

Issues and Challenges: Cloud Computing e-Government in Developing Countries

Issues and Challenges: Cloud Computing e-Government in Developing Countries

Comprehensive Challenges to E-government in Iraq

The 3-Axis Scalable Service-Cloud Resource Modeling for Burst Prediction Under Smart Campus Scenario

Contact Info

Product

Resources

About