No abstract

No abstract

No abstract

The increasing number and complexity of e-health services provided to citizens push healthcare organizations to adopt powerful computing systems to deal with the resulting workload. The adoption of the Cloud to host such services is a promising solution to address the increasing demand for computational power and also to deal with expected or unexpected computational peaks. This paper proposes a framework that allows the execution on the Cloud of the X1.V1 platform, which is a commercial product that supports a number of e-health services as well as the interoperability among different healthcare environments. This framework is meant to enable an easy and quick management of the Cloud resources allocated to the X1.V1 platform, in order to enhance the platform performances and optimize resources utilization. The design of the framework takes into account security aspects as well, because unauthorized accesses could lead to serious inefficiencies of the e-health services.

Abstract. The X1.V1 platform is a service oriented architecture, deployed on a set of Virtual Machines, that integrates services for managing fundamental activities in the ehealth scenario, such as Patient Identification, Clinical Document Repository, Prescription, and many others. The efficient provisioning of such services to citizens and to health professionals requires the adoption of increasingly powerful computing systems, in order to ensure that the growing number of service requests are served in acceptable time, even in case of computational peaks. Porting the X1.V1 platform on the Cloud could address the problem of the computational requirement mutability, since Cloud elasticity allows the reallocation of resources to Virtual Machines when necessary. This paper proposes a framework for managing the execution of the X1.V1 platform on the Cloud. This framework enables an easy, quick, and secure management of the Cloud resources allocation and reallocation to X1.V1 Virtual Machines, in order to enhance the platform performances, optimize resource utilization and, consequently, reduce the whole services cost. The design of the framework is focused on security aspects as well, because unauthorized accesses could lead to serious inefficiencies of the ehealth services. Finally, besides describing the architecture design and implementation of the X1.V1 Cloud manager framework, this paper also presents a set of experimental results which confirm the validity of the proposed approach to solve the X1.V1 platform performance issues in distinct reference scenarios.