Autonomic and Cloud computing: Management services for healthcare

Abstract

The continuously rising costs in healthcare, the growing size of the population who will need healthcare services, and the rise of expectations regarding the quality of healthcare services all create a high need for new approaches to reduce healthcare costs with good management. In this paper we focus on design an autonomic cloud environment to help management of healthcare services by design perfect monitoring system. We applied Serviceoriented architectures (SOA) to minimize cost by distributed services for many users, and realized integrated services in healthcare. To evaluated our system design we take as case study, analyze and monitoring ElectroMyoGram (EMG) data by software services. Furthermore, an application that analyzes collected data is demonstrated.

Taxonomy of Autonomic Cloud Computing

“…The execution time in the worst case is up to 3.27% and 87.15% reduction in power consumption. Hence, the proposed model outperforms other methods and offers a major reduction in power consumption with a small execution time overhead N. K. Salih and T. Zang, et al, in [22] proposed an autonomic cloud environment to assist management of health-care services through designing a complete monitoring system to decrease the costs by using the distributed services. The system architecture of the proposed model is considered three layer services in the cloud which starts with the SaaS layer and using the software system which uses a web service.…”