A Framework for Scheduling Virtual Machines to Support Real-Time Services for U-Life Care

Abstract

This paper presents an approach for scheduling U-Life care applications in the cloud computing environment based on virtual resources to support real-time services and to improve user Quality of Service (QoS) requirements. We design and develop an architecture called ULC3 (Ubiquitous Life Care Cloud Computing) that uses virtual resources provided by cloud computing to schedule U-Life care applications. The ULC3 is based on the concepts of cloud computing and wireless sensor networks. The architecture is very important and necessary to support create virtual clusters dynamically, deploys the required number of virtual machines (VMs) in potential computing resources to meet the application requirements, and to configure with the required software execution environment. Thus, the system can improve computation time, guarantee the QoS, and support real-time services. Finally, the results from the execute applications are provided to the end-users as a service.