A mobile patient monitoring system makes use of mobile computing and wireless communication technologies for continuous or periodic measurement and analysis of biosignals of a mobile patient. In a number of trials these systems have demonstrated their user-friendliness, convenience and effectiveness for both patients and healthcare professionals. In this paper we propose a generic architecture, associated terminology and a classificatory framework for comparing mobile patient monitoring systems. We then apply this comparison framework to classify six mobile patient monitoring systems selected according to the following criteria: use of diverse mobile communication techniques, evidence of practical trials and availability of sufficient published scientific information. We also show how to use this framework to determine feature sets of prospective real-time mobile patient monitoring systems using the example of epilepsy monitoring. This paper is aimed at both healthcare professionals and computer professionals. For healthcare professionals, this paper provides a general understanding of technical aspects of the mobile patient monitoring systems and highlights a number of issues implied by the use of these systems. The proposed framework for comparing mobile patient monitoring systems can be used by healthcare professionals to determine feature sets of prospective mobile patient monitoring systems to address particular healthcare related needs. Computer professionals are expected to benefit by gaining an understanding of the latest developments in the important emerging application area of mobile patient monitoring systems.

Abstract. Cloud computing with its inherent advantages draws attention for business critical applications, but concurrently expects high level of trust in cloud service providers. Reputation-based trust is emerging as a good choice to model trust of cloud service providers based on available evidence. Many existing reputation based systems either ignore or give less importance to uncertainty linked with the evidence. In this paper, we propose an uncertainty model and define our approach to compute opinion for cloud service providers. Using subjective logic operators along with the computed opinion values, we propose mechanisms to calculate the reputation of cloud service providers. We evaluate and compare our proposed model with existing reputation models.Keywords: Cloud, Trust, Reputation, SLA, Subjective logic. IntroductionCloud computing has been recognised as an important new paradigm to support small and medium size businesses and general IT applications. The advantages of Cloud computing are multifold including better use and sharing of IT resources, unlimited scalability and flexibility, high level of automation, reduction of computer and software costs, and access to several services. However, despite the advantages and rapid growth of Cloud computing, it brings several security, privacy and trust issues that need immediate action. Trust is an important concept for cloud computing given the need for consumers in the cloud to select cost effective, trustworthy, and less risky services [2]. The issue of trust is also important for service providers to decide on the infrastructure provider that can comply with their needs, and to verify if the infrastructure providers maintain their agreements during service deployment. The work presented in this paper is being developed under the FP7 EU-funded project called OPTIMIS [5][13] to support organisations to externalise services and applications to trustworthy cloud providers. More specifically, the project focuses on service and infrastructure providers. One of the main goals of OPTIMIS is to develop a toolkit to assist cloud service providers to supply optimised services based on four different aspects, namely trust, risk, eco-efficiency, and cost. As part of the overall goal in OPTIMIS, this paper, describes a trust model to support service providers (SP) to verify trustworthiness of infrastructure providers (IP) during deployment and operational phases of the services supplied by the service providers.

Ongoing miniaturization and power efficiency of mobile devices have led to widespread availability of devices that have an increasing amount of processing power and storage, and that support multiple wireless network interfaces connecting to various auxiliary devices and to the Internet. It is now feasible for a mobile device to host services and participate in a service discovery network. Roaming of a mobile device from one wireless network to another entails nomadic characteristics to the hosted services. We denote this class of services as Nomadic Mobile Services. This paper discusses the requirements for Nomadic Mobile Service provisioning and proposes the Mobile Service Platform (MSP) as a supporting infrastructure and middleware which extends the Service Oriented Architecture paradigm to the mobile device. The MSP design is based on the Jini Surrogate Architecture Specification which enables devices that can not directly participate in a Jini Network to join a Jini network with the aid of a third party. MSP consists of an HTTPInterconnect protocol to meet the specifications of Jini Surrogate Architecture and provides a custom set of APIs to develop and deploy a Nomadic Mobile Service. This paper also presents case studies of MSP enabled services in diverse domains such as healthcare, robotics and positioning services. To conclude, we outline the need for a context-aware MSP.

Abstract. To accommodate the requirements such as high usability and personalization of 4G (mobile) networks, conventional handheld single network-interface mobile devices are evolving into multi-homed devices. Moreover, owing to the recent advances in the mobile middleware technologies, hardware technologies and association with the human user, handheld mobile devices are evolving into data producers and in turn acting as Nomadic Mobile Service (NMS) providers. For these devices, a vertical handover support is essential for the improved and reliable NMS delivery. Also, the fulfillment of the required QoS by the NMS is bounded by the end-to-end QoS (e2eQoS) provided by the underlying heterogeneous networks. To deal with these aspects, we propose a context-aware middleware architecture supporting vertical handover for the NMSes hosted on the handheld mobile devices. We emphasize the following features of the proposed middleware: 1) Context-aware computing based approach which uses an extensive set of context information collected from the mobile device and a fixed network; 2) Provisioning of and interaction with the end-to-end QoS (e2eQoS) predictions context source in the fixed network to obtain near-accurate estimation of the e2eQoS at a certain geographic location and to reduce unnecessary power usage in searching for available networks.