A framework for integrating geospatial information systems and hybrid cloud computing

Helmi, Abdelrahman M.; Salah, Mona; Nasr, Mona

doi:10.1016/j.compeleceng.2018.03.027

Cited by 30 publications

(20 citation statements)

References 1 publication

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“…The user interface, as its client segment, lets different types of users work easily, especially the non-IT-expert users. Each logged-in user is assigned the appropriate services (maps, dashboards, database schemas) [19].…”

Section: Resultsmentioning

confidence: 99%

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Epidemic Location Intelligence System as Response to the COVID-19 Outbreak in Bosnia and Herzegovina

Karabegović¹,

Ponjavić²,

Hukić³

2021

Preprint

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The outbreak of COVID-19 is a public health emergency that caused disastrous results in many countries. The global aim is to stop transmission and prevent the spread of the disease. To achieve it, every country needs to scale up emergency response mechanisms, educate and actively communicate with the public, intensify infected case finding, contact tracing, monitoring, quarantine of contacts, and isolation of cases. Responding to an emergency requires efficient collaboration and a multi-skilled approach (medical, information, statistical, political, social, and other expertise), which makes it hard to define one interface for all. As actors from different perspectives and domain backgrounds need to address diverse functions, the possibility to exchange available information quickly would be desirable. Geoportal provides an entry point to access a variety of data (geospatial data, epidemiological data) and could be used for data discovery, view, download, and transformation. It helps to deal with challenges like data analysis, confirmed cases geocoding, recognition of disease dynamics, vulnerable groups identification, and capacity mapping. Predicting and modeling the spread of infection, along with application support for communication and collaboration, are the biggest challenges. In response to all these challenges, we have established the Epidemic Location Intelligence System (ELIS) using open-source software components in the cloud, as a working platform with all the required functionalities.

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Section: Resultsmentioning

confidence: 99%

“…There are many examples of frameworks for integrating cloud computing with GIS through architecture, workflow, and a case study in the health sector [19], promising to be valuable in solving resource distribution and diseases tracking.…”

Section: System Integrationmentioning

confidence: 99%

Epidemic Location Intelligence System as Response to the COVID-19 Outbreak in Bosnia and Herzegovina

Karabegović¹,

Ponjavić²,

Hukić³

2021

Preprint

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“…The integration of IoST and cloud computing allow wide leveraging of spatial applications and information with economic solutions. Whereas, virtualization allows multiusage of the same hardware while accessing private instances of the cloud environment [96].…”

Section: B Cloud Computing Layermentioning

confidence: 99%

Internet of Spatial Things: A New Reference Model With Insight Analysis

2019

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The Internet of Things (IoT) is the concept of everyday objects that make us live in the era of the IoT. The spatial characteristics of things around us can be considered the reins of the IoT operability. In other words, the spatial variation of a thing can be the core of the IoT reaction. For example, the spatial variation in crop indicates the requirement and characteristic of agriculture production. Also, the spatial variation of a human movement can alarm the security and monitoring systems. This issue agitates the contemplating of the ''Internet of Spatial Things (IoST)'' concept. For the first time, this paper draws an inspiration towards the perspective vision of the IoST, which is concerned with revise IoT with the spatial perspective. The IoST concept is argued by the presentation of its definition and architectural components. Besides, the IoST layers are discussed in details. Furthermore, a new proposed reference model of the IoST is proposed. Finally, the new trends and open issues regarding the IoST are aroused. INDEX TERMS Internet of Things (IoT), Internet of Spatial Things (IoST), spatial, framework.

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“…The third model is a community model which operated and organized for specific communities. The last model is a hybrid, which is a mixture of two or more clouds [3] [4][5] [51] [52]. These providers also account for modern-day networks, such as 5G, Internet of Things, as well as novel allocation strategies for handling diversified services [6] [7].…”

Section: Introductionmentioning

confidence: 99%

“…These providers also account for modern-day networks, such as 5G, Internet of Things, as well as novel allocation strategies for handling diversified services [6] [7]. Mostly, the Cloud Service Providers are responsible for handling and functioning of the Public cloud infrastructure [51]. Furthermore, it is accessed by an extensive assortment of registered clienteles, and the CSP is liable for the configuration and organization of these services.…”

Section: Introductionmentioning

confidence: 99%

Smart Resilient Security Framework and Solutions for Cloud-driven Digital Supply Networks

Srinivasan*,

Gupta,

Kumaran S

et al. 2019

IJITEE

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The cloud-based logistics services allow cost reduction, higher elasticity, flexibility, and maximum utilization of resources for performing high computations and data analytics. Logistics and security are complex issues with the corporate entities when these are to be used for taking critical issues. To understand these, this paper discusses a conceptualized, flexible security framework for cloud-driven digital supply chain in Agricultural. Moreover, a security enhancement layer is included at each layer of the cloud with a feasibility study on protecting user information in the logistics services ambiance. Also, the Data Residency for cloud-based logistics services is elaborated with Data Security analysis. Further, the article discusses the possible solutions to handle the security concerns of the logistic model.

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A framework for integrating geospatial information systems and hybrid cloud computing

Cited by 30 publications

References 1 publication

Epidemic Location Intelligence System as Response to the COVID-19 Outbreak in Bosnia and Herzegovina

Epidemic Location Intelligence System as Response to the COVID-19 Outbreak in Bosnia and Herzegovina

Internet of Spatial Things: A New Reference Model With Insight Analysis

Smart Resilient Security Framework and Solutions for Cloud-driven Digital Supply Networks

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