دانلود رایگان مقاله انگلیسی چارچوبی برای ادغام سیستم های اطلاعات مکانی و محاسبات ابر هیبریدی - الزویر 2018

عنوان فارسی
چارچوبی برای ادغام سیستم های اطلاعات مکانی و محاسبات ابر هیبریدی
عنوان انگلیسی
A framework for integrating geospatial information systems and hybrid cloud computing
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
14
سال انتشار
2018
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E9158
رشته های مرتبط با این مقاله
مهندسی کامپیوتر، فناوری اطلاعات
گرایش های مرتبط با این مقاله
رایانش ابری، مدیریت سیستم های اطلاعات
مجله
کامپیوتر و مهندسی برق - Computers and Electrical Engineering
دانشگاه
Canadian International College - Cairo - Egypt
کلمات کلیدی
محاسبات ابری، سیستم های اطلاعات مکانی، ابر هیبریدی، مدل های استقرار
doi یا شناسه دیجیتال
https://doi.org/10.1016/j.compeleceng.2018.03.027
چکیده

ABSTRACT


Many decisions are made daily based on the simple mental processing. This way of decision making is suitable for the simple personal daily issues. But when decisions are concerned with general and sensitive sectors, this way of decision making is unacceptable. Nowadays, Geospatial Information Systems help in making more accurate decisions in a lot of sections that would be built on accurate information by way of drawing maps and visualizing data to clearly judge which option is the best for that particular situation. This paper raises a framework that integrates the Geospatial Information Systems with the Hybrid Cloud Computing to let them work together and get greater powerful benefits via applying the concept of cloud computing to overcome the flaws related to the desktop GIS including the huge startup cost and the storage capacity and to provide the feature of location independence accessibility where the GIS can be accessed from anywhere and anytime. The hybrid cloud computing was picked to be integrated with the GIS to gain the elasticity and security of dealing with different types of data; private and public data. This integration is presented in three dimensions. The first one is architecture with seven segments that illustrate the main structure for the Hybrid Cloud GIS within a mix of private environment and public environment. The second one is the types of the participants and their workflow within the two environments. The last dimension is a case study for applying this integration in the health sector in Egypt.

نتیجه گیری

6. Conclusion and future work


This paper presented a framework for integrating the hybrid cloud computing with the GIS through three dimensions; (7S) Hybrid Cloud GIS architecture, (2E) participants’ workflow and an applied case study in the health sector in Egypt. The value of this framework comes in the (7S) architecture that offers the integration process on all the phases related to the GIS and the Hybrid Cloud starting with the client and moving to end with the infrastructure. This framework would be applied to different sectors for gaining its valuable benefits especially when it comes to dealing with different types of data and users. Using such a solution for the health sector in Egypt would be much valuable in solving the most common flaws related to the resources bad distribution and the diseases tracking by helping in making more accurate and right decisions without looking for location accessibility or time barrier. In the future work, some research areas are open for enhancing the integration reality through the review and the comparison for the cloud computing vendors (public & private) would be needed to evaluate the integration process through some important approaches including the cost and the data migration elasticity between the two environments and the security. Also by rebuilding the architecture based on community deployment model to apply it to communities with common characteristics. In addition to applying and comparing the architecture performance within the scope of the cloud computing services with its different levels including the Software as a Service level, Platform as a Service level and Infrastructure as a service level. In addition to one more open area for research on how to deal with lots of geospatial data on the cloud in the terms of data storage, transmission, management, processing, integration, analysis, security and quality


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