دانلود رایگان مقاله انگلیسی نقشه برداری از محاسبات ابری در سیستم دولتداری الکترونیک دانشگاه - امرالد 2018

عنوان فارسی
نقشه برداری از محاسبات ابری در سیستم دولتداری الکترونیک دانشگاه
عنوان انگلیسی
Mapping cloud computing in university e-Governance system
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
29
سال انتشار
2018
نشریه
امرالد - Emerald
فرمت مقاله انگلیسی
PDF
کد محصول
E6416
رشته های مرتبط با این مقاله
مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط با این مقاله
رایانش ابری، شبکه های کامپیوتری
مجله
مجله بین المللی محاسبات هوشمند و سایبرنتیک - International Journal of Intelligent Computing and Cybernetics
دانشگاه
Directorate of IT & SS - University of Kashmir - Srinagar - India
کلمات کلیدی
محاسبات ابری؛ خدمات ابری؛ محاسبات ترکیبی؛ دولتداری الکترونیک دانشگاه؛ دانشگاه ها؛ محاسبات ترسیمی
۰.۰ (بدون امتیاز)
امتیاز دهید
چکیده

Abstract


Purpose- The aim of this paper is to propose a model to map on-premise computing system of the university with cloud computing for achieving effective and reliable university e-governance (e-gov) system. Design/Methodology/Approach-The proposed model incorporates the university’s internal e-governance system with cloud computing in order to achieve better reliability, accessibility and availability of e-governance services while keeping the recurring expenditure low. This model has been implemented (and tested on university e-governance system) in University of Kashmir (UOK), case study of this implementation has been chosen as the research methodology to discuss and demonstrate the proposed model. Findings-According to the results based on practical implementation, the proposed model is ideal for egoverned systems as it provided adequate cost savings and high availability with operational ease, apart from continuing to have necessary security in place to maintain confidential information such as student details, grades, etc. Practical implications-To achieve high availability and reduce the cost from using external clouds, mapping internal IT servers of the University with the external cloud computing services. Originality/value- Because no established mapping model for universities has been provided for effective, low cost, highly available university e-governance system, the proposed mapping model through this paper closes this gap and provides guidelines to implement hybrid mapped e-governance model for universities while keeping the recurring expenditure on cloud computing at minimal. Also, it provides the perceptions of its adoption at University of Kashmir for achieving high reliability, accessibility and uptime of its e-governance applications while keeping the recurring expenditure on cloud computing at minimal.

نتیجه گیری

10. Conclusion (Outcome)


Implementing above proposed mapped model has helped University of Kashmir achieve e-governance services with competitive advantages. Mapping on-premise resources of the university with external cloud services has been more promising for the university than either exclusively relying on on-premise resources or external clouds. The concerns of control, vendor lock, security, privacy and reliability in-case of shifting completely to cloud have also died, apart from no blackouts on e-gov services during link failures. Highly confidential university e-governance services (especially examination related) are continued to be deployed on internal cloud (on-premise data centers / servers) of the university and the intranet services remain uninterrupted in the campus during internet link failures. Low sensitive services like student document storage, email are completely subscribed through cloud as these services are offered free by Google. The model implemented at University of Kashmir has increased efficiency, reliability and availability of university e-governance system while maintaining the low monthly billing on external cloud services since most of the time requests are served by on-premise deployment of the campus.


Also, during peak load times (e.g. admission and exam seasons) dynamically provisioning / reconfiguring to adjust to a variable load(scale) is a factor. This mapping also allows routing the traffic to both internal e-gov services and external e-gov services on cloud. Scaling up resources during peak loads does not require huge investment on upgrading internal infrastructure as they can be easily scaled up on cloud services.


Frequent internet link failures / gag in the state of Jammu and Kashmir (J&K), India are common due to hilly terrain, rough weather and political uncertainty. Internet services are suspended every now-and-then, University of Kashmir relying completely on cloud is not a feasible.


بدون دیدگاه