Jiehan Zhou

CloudThings: A common architecture for integrating the Internet of Things with Cloud Computing

The Internet of Things presents the user with a novel means of communicating with the Web world through ubiquitous object-enabled networks. Cloud Computing enables a convenient, on demand and scalable network access to a shared pool of configurable computing resources. This paper mainly focuses on a common approach to integrate the Internet of Things (IoT) and Cloud Computing under the name of CloudThings architecture. We review the state of the art for integrating Cloud Computing and the Internet of Things. We examine an IoT-enabled smart home scenario to analyze the IoT application requirements. We also propose the CloudThings architecture, a Cloud-based Internet of Things platform which accommodates CloudThings IaaS, PaaS, and SaaS for accelerating IoT application, development, and management. Moreover, we present our progress in developing the CloudThings architecture, followed by a conclusion.

Smart Home: Integrating Internet of Things with Web Services and Cloud Computing

Smart Home minimizes users intervention in monitoring home settings and controlling home appliances. This paper presents an approach to the development of Smart Home applications by integrating Internet of Things (IoT) with Web services and Cloud computing. The approach focuses on: (1) embedding intelligence into sensors and actuators using Arduino platform, (2) networking smart things using Zigbee technology, (3) facilitating interactions with smart things using Cloud services, (4) improving data exchange efficiency using JSON data format. Moreover, we implement three use cases to demonstrate the approachs feasibility and efficiency, i.e., measuring home conditions, monitoring home appliances, and controlling home access.

Context-aware pervasive service composition and its implementation

Incorporating service composition and pervasive computing into managing users’ complex everyday activities calls for the Pervasive Service Composition paradigm for everyday life. In this paper, we propose the concept of Context-Aware Pervasive Service Composition (CAPSC), which aims at enabling a pervasive system to provide user service compositions that are relevant to the situation at hand. We investigate CAPSC requirements and design a CAPSC architecture by taking into account context-aware peer coordination, context-aware process service adaptation, and context-aware utility service adaptation. We present a proof of concept application prototype as well.

Digital Television for Mobile Devices

A survey of mobile television technologies analyzes technical characteristics for each mobile TV solution, discusses specifications and standards, and presents possible future developments.

Pervasive Social Computing: augmenting five facets of human intelligence

Pervasive Social Computing is a novel collective paradigm, derived from pervasive computing, social media, social networking, social signal processing, etc. This paper reviews Pervasive Social Computing as an integrated computing environment, which promises to augment five facets of human intelligence: physical environment awareness, behavior awareness, community awareness, interaction awareness, and content awareness. Reviews of related studies are given, and their generic architectures are designed. The resulting architecture for Pervasive Social Computing is presented. A prototype is developed and examined, in order to investigate the characteristics exhibited by Pervasive Social Computing.

Semantics for intelligent delivery of multimedia content

This paper describes a new generic metadata model, called CAM Metamodel, that merges altogether information about content, services, physical and technical environment in order to enable homogenous delivery and consumption of content. We introduce a metadata model that covers all these aspects and which can be easily extended so as to absorb new types of models and standards. We ensure this flexibility by introducing an abstract metamodel, which defines structured archetypes for metadata and metadata containers. The metamodel is the foundation for the technical metadata specification. We also introduce new structures in the abstract and core metamodels supporting the management of distributed community created metadata.

Toward Semantic QoS Aware Web Services: Issues, Related Studies and Experience

Semantic QoS aware Web services incorporating the emerging Web services in the QoS aware system development are promoting service oriented software engineering (SOSE). To identify the steps toward semantic quality of service (QoS) aware Web services, this paper examines previous studies related to semantic QoS aware Web services, including QoS aware Web service architectures, QoS classification, QoS ontology, QoS specification languages, and Web service creation tools. Moreover, a case study is presented to discuss the gaps between our current quality driven software development approach and the semantic QoS aware Web services

A Survey on Semantic Web Services and a Case Study

Semantic Web services integrate the meaningful content of the semantic Web with the business logic of Web services and thus enable industries and individuals to build, access, deploy and execute services and transactions independently over Internet. This paper surveys semantic Web services from the viewpoints of Web service architectures, service engineering, service description languages, Web service building tools, and also presents a case study

Towards an OSGi Based Pervasive Cloud Infrastructure

Pervasive computing is converging with cloud computing as with the development of smart cities. There arise the complexities from this convergence, like unprecedented large number of computing devices, flexibilities and adaptation of services for fitting personalization requirements from end users, expectations of powerful computing and storage capabilities of handhold devices, and so on. Therefore, a supporting infrastructure that can handle big data arisen from large number of devices, and can flexibly switch services at run time, is needed. Henceforth, in this paper, we propose an OSGi based pervasive cloud (OSGi-PC) infrastructure which can make use both of the cloud computing capabilities and component flexibilities from OSGi. We have evaluated the OSGi-PC in terms of performance and power consumption to show its usability.

Energy Efficient Task Scheduling in Mobile Cloud Computing

Cloud computing can enhance the computing capability of mobile systems by offloading. However, the communication between the mobile device and the cloud is not free. Transmitting large data to cloud consumes much more energy than processing data in mobile device, especially in a low bandwidth condition. Further, some processing tasks can avoid transmitting large data between mobile device and server. Those processing tasks encoding, rendering are as the compress algorithm, which can reduce the size of raw data before it is sent to server. In this paper, we present an energy efficient task scheduling strategy EETS to determine what kind of task with certain amount of data should be chosen to be offloaded under different environment. We have evaluated the scheduler by using an Android smartphone. The results show that our strategy can achieve 99% of accuracy to choose the right action in order to minimize the system energy usage.