Exploring the Adoption of Cloud Computing for Health Care Delivery in Ghana
Thomas Henaku,
Solomon Amenyo,
David Mawuko Agbenu
Issue:
Volume 10, Issue 1, March 2022
Pages:
1-11
Received:
24 February 2022
Accepted:
21 March 2022
Published:
29 March 2022
DOI:
10.11648/j.iotcc.20221001.11
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Abstract: Cloud computing is the most recent Information Technology (IT) service available, allowing for universal and convenient network access to a shared pool of configurable computing resources on-demand. It is a rapidly expanding solution that addresses almost all cost-cutting, rapid processing, easy access to information, scalability, and timeliness concerns. Many experts believe it has the potential to improve healthcare services, advance healthcare research, and alter the landscape of health information technology. However, as with any new technology, cloud computing should be tested extensively before widespread adoption. This study investigates the concept of cloud computing and its current adoption in healthcare, evaluating the opportunities and challenges of this computing model through four lenses (management, technology, security, and legal). The study goes on to discuss the strategic planning model that a health organization could use to determine its direction, strategy, and resource allocation when deciding to migrate from traditional to cloud-based health services. As an example, Korle-Bu Teaching Hospital (KBTH) is used. The KBTH is Ghana's largest tertiary hospital, located in Accra. An evaluation survey was conducted to gather knowledge and information from healthcare practitioners as well as IT professionals with extensive knowledge of cloud computing. Finally, experienced project management practitioners were contacted to draw on their knowledge of designing and managing projects in a changing environment. Based on the findings, a five-stage strategic planning model for adopting and implementing cloud computing in the KBTH is recommended: identification, planning, pre-implementation, change management and training, and finally implementation; this model includes guidelines to increase the likelihood of a successful rollout.
Abstract: Cloud computing is the most recent Information Technology (IT) service available, allowing for universal and convenient network access to a shared pool of configurable computing resources on-demand. It is a rapidly expanding solution that addresses almost all cost-cutting, rapid processing, easy access to information, scalability, and timeliness co...
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Survey the Storage Systems Used in HPC and BDA Ecosystems
Priyam Shah,
Jie Ye,
Xian-He Sun
Issue:
Volume 10, Issue 1, March 2022
Pages:
12-28
Received:
25 March 2022
Accepted:
28 April 2022
Published:
19 May 2022
DOI:
10.11648/j.iotcc.20221001.12
Downloads:
Views:
Abstract: The advancement in HPC and BDA ecosystem demands a better understanding of the storage systems to plan effective solutions. The amount of data being generated from the ever-growing devices over years have increased tremendously. To make applications access data more efficiently for computation, HPC and BDA ecosystems adopt different storage systems. Each storage system has its pros and cons. Therefore, it is worthwhile and interesting to explore the storage systems used in HPC and BDA respectively. Also, it’s inquisitive to understand how such storage systems can handle data consistency and fault tolerance at a massive scale. In this paper, we’re surveying four storage systems: Lustre, Ceph, HDFS, and CockroachDB. Lustre and HDFS are some of the most prominent file systems in HPC and BDA ecosystem. Ceph is an upcoming filesystem and is being used by supercomputers. CockroachDB is based on NewSQL systems a technique that is being used in the industry for BDA applications. The study helps us to understand the underlying architecture of these storage systems and the building blocks used to create them. The protocols and mechanisms used for data storage, data access, data consistency, fault tolerance, and recovery from failover are also overviewed. The comparative study will help system designers to understand the key features and architectural goals of these storage systems to select better storage system solutions.
Abstract: The advancement in HPC and BDA ecosystem demands a better understanding of the storage systems to plan effective solutions. The amount of data being generated from the ever-growing devices over years have increased tremendously. To make applications access data more efficiently for computation, HPC and BDA ecosystems adopt different storage systems...
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