Cloud Computing Technologies for Smart Agriculture and Healthcare
Urmila Shrawankar, Latesh Malik, Sandhya Arora, Urmila Shrawankar, Latesh Malik, Sandhya Arora
- 320 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Cloud Computing Technologies for Smart Agriculture and Healthcare
Urmila Shrawankar, Latesh Malik, Sandhya Arora, Urmila Shrawankar, Latesh Malik, Sandhya Arora
About This Book
The Cloud isan advanced and fast-growing technology in the current era. The computing paradigm has changed drastically. It provided a new insight into the computing world with newcharacteristics including on-demand, virtualization, scalability and many more. Utility computing, virtualization and service-oriented architecture (SoA) are the key characteristics of Cloud computing. The Cloud provides distinct IT services over the webon a pay-as-you-go and on-demand basis. Cloud Computing Technologies for Smart Agriculture and Healthcare covers Cloud management and itsframework. It also focuses howthe Cloudcomputing framework can be integrated with applications based on agriculture and healthcare.
Features:
- Contains a systematic overview of the state-of-the-art, basic theories, challenges, implementation, and case studies on Cloudtechnology
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- Discussesof recent research results and future advancement in virtualization technology
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- Focuses on core theories, architectures, and technologies necessary to develop and understand the computing models and its applications
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- Includes a wide range of examples that uses Cloud technology for increasing farm profitability and sustainable production
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- Presents the farming industrywith Cloud technology that allows it toaggregate, analyze, and share data across farms and the world
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- Includes Cloud-based electronic health records with privacy and security features
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- Offers suitable IT solutions to the global issues in the domain of agriculture and health care for society
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This reference book is aimed at undergraduate and post-graduate programs. It will also help research scholars in their research work. This book alsobenefits like scientists, business innovators, entrepreneurs, professionals, and practitioners.
Frequently asked questions
Information
Section III Cloud for Healthcare
10 Cloud Model for Real-Time Healthcare Services
- 10.1 Introduction
- 10.1.1 Objectives of Research
- 10.1.2 Organization
- 10.2 Related Work
- 10.3 Different Cloud Computing Uses in Real-Time Healthcare Services
- 10.4 Cloud Computing in Healthcare Applications
- 10.4.1 Healthcare Data Management, Data Sharing, and Access in the Cloud
- 10.4.2 Preventive Medical Care Using Cloud Computing
- 10.5 Issues and Challenges in Using Cloud Computing in Healthcare
- 10.6 Real-Time Virtual Machine Scheduling Framework of the Cloud Environment
- 10.6.1 Real-Time Healthcare Sensing and Actuation in the Cloud Environment
- 10.6.2 Real-Time Patients and Physician Interactions
- 10.7 Case Study of Different Healthcare Cloud Providers
- 10.8 Conclusions
- Acknowledgment
- References
10.1 Introduction
10.1.1 Objectives of Research
- To provide the overview of Cloud computing service for real-time healthcare service.
- To discuss the different benefits, challenges, and issues of Cloud computing in healthcare.
- To present the real-time virtual machine scheduling framework for Cloud computing.
- To discuss various case studies for healthcare Cloud providers.