Abstract-As cloud computing emerges as the next novel concept in computer science, it becomes clear that the model applied in large data storage systems used to resolve issues coming forth from an increasing demand, could also be used to resolve the very high bandwidth requirements on access network, core network equipment and long communication paths between users and servers in the today's cellular networks. The cloud computing model can be used to avoid bottlenecks, better utilize available resources, and minimize delay. This paper analyses how three deployed major cloud computing platforms, i.e., OpenStack, Eucalyptus and OpenNebula could support this. The analysis showed that none of the studied currently deployed cloud computing platforms can satisfy the derived requirements without enhancing and extending the functions and modules supported by each platform.
Point-Of-Care Testing (POCT) enables clinical tests at or near the patient, with test results that are available instantly or in a very short time frame, to assist caregivers with immediate diagnosis and/or clinical intervention. The goal of POCT is to provide accurate, reliable, fast, and cost-effective information about patient condition. POCT can be part of the solution to the rising healthcare and welfare costs without any loss of healthcare quality. In this research, business models are used to create business cases in order to assess the viability of POCT. Two methods to create business models were designed by tailoring and extending them from an existing method. It was found that the method used has impact on the resulting business case. POCT was assessed to be viable in all business cases created for the specific case study used.
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