Health care is a significant application of pervasive computing. In recent years, the pervasive health care applications are replaced by cloud-based health care applications thus solving the problem of scalability and computing cost. In a cloud-based pervasive health care data security and privacy becomes a greater concern. The key contribution of this paper is to provide high privacy, data confidentiality, availability against the health data and this is achieved using the proposed access control model which uses a PR based approach for providing access control to various users of the system. Privacy rating (PR) is calculated for both the user and the data to provide access to any data that is being requested by the user. The results achieved shows that the proposed model achieves high level of privacy and security for the data stored in the healthcare system.
In Grid computing, a common task is performed by combining the resources from different locations or domains. It will use only the fixed number of resources available in different locations. It doesn't scale the resources according to the users' demand. On the other hand cloud computing provides resources to users according to their demand. Grid computing uses the autoscaling capacity of cloud in resource scaling. That means, cloud provides resources to grid and thereby achieving resource autoscaling in grid computing. In this paper, grid resource scaling using cloud is addressed. In this paper the combination of grid and cloud is achieved thorough a middleware called as DIET.
General TermsCloud, Integration, Middleware.
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