A Survey on Service Composition Middleware in Pervasive Environments

The development of pervasive computing has put the light on a challenging problem: how to dynamically compose services in heterogeneous and highly changing environments? We propose a survey that defines the service composition as a sequence of four steps: the translation, the generation, the evaluation, and finally the execution. With this powerful and simple model we describe the major service composition middleware. Then, a classification of these service composition middleware according to pervasive requirements - interoperability, discoverability, adaptability, context awareness, QoS management, security, spontaneous management, and autonomous management - is given. The classification highlights what has been done and what remains to do to develop the service composition in pervasive environments

On Data Management in Pervasive Computing Environments

Abstract—This paper presents a framework to address new data management challenges introduced by data-intensive, pervasive computing environments. These challenges include a spatio-temporal variation of data and data source availability, lack of a global catalog and schema, and no guarantee of reconnection among peers due to the serendipitous nature of the environment. An important aspect of our solution is to treat devices as semiautonomous peers guided in their interactions by profiles and context. The profiles are grounded in a semantically rich language and represent information about users, devices, and data described in terms of “beliefs,” “desires, ” and “intentions. ” We present a prototype implementation of this framework over combined Bluetooth and Ad Hoc 802.11 networks and present experimental and simulation results that validate our approach and measure system performance. Index Terms—Mobile data management, pervasive computing environments, data and knowledge representation, profile-driven caching algorithm, profile driven data management, data-centric routing algorithm. æ

Towards ad hoc contextual services for pervasive computing

International audienceContext-awareness is a key challenge for pervasive computing, as it is a prime requirement towards delivering applications to users in a way that best matches user requirements, digital resources availability and physical conditions. However, enabling anytime, anywhere context-awareness, as targeted by pervasive computing, is further challenged by the openness of the environment, which requires making available context information in various computing environments. This then calls for the ad hoc networking of context sources and of context-aware applications, so that applications may always benefit from a context knowledge base, although it may be more or less rich, depending on the specific environment. Building upon the context management literature, and the Service-Oriented Architecture (SOA) paradigm that is a major enabler of open ad hoc networking, this paper sketches key context-aware system concepts that need be incorporated in the SOA style towards enabling context-aware services for pervasive computing

Experiences in using CC/PP in context-aware systems

Future pervasive systems will be based on ubiquitous, often mobile, interconnected devices supporting mobile users in their computing tasks. These systems need to be context-aware in order to cope with highly dynamic environments. In this paper, we present a context model and a context management system able to support a pervasive system infrastructure. This context model is based on the CC/PP standard proposed to support content negotiation between Web browsers and servers. We have defined a set of CC/PP components and attributes that allow to express a variety of context information types and relationships between context descriptions. The paper discusses pros and cons of using CC/PP as a basis for a context model and a context management system

Context for Ubiquitous Data Management

In response to the advance of ubiquitous computing technologies, we believe that for computer systems to be ubiquitous, they must be context-aware. In this paper, we address the impact of context-awareness on ubiquitous data management. To do this, we overview different characteristics of context in order to develop a clear understanding of context, as well as its implications and requirements for context-aware data management. References to recent research activities and applicable techniques are also provided

Architecture and Implementation of a Trust Model for Pervasive Applications

Collaborative effort to share resources is a significant feature of pervasive computing environments. To achieve secure service discovery and sharing, and to distinguish between malevolent and benevolent entities, trust models must be defined. It is critical to estimate a device\u27s initial trust value because of the transient nature of pervasive smart space; however, most of the prior research work on trust models for pervasive applications used the notion of constant initial trust assignment. In this paper, we design and implement a trust model called DIRT. We categorize services in different security levels and depending on the service requester\u27s context information, we calculate the initial trust value. Our trust value is assigned for each device and for each service. Our overall trust estimation for a service depends on the recommendations of the neighbouring devices, inference from other service-trust values for that device, and direct trust experience. We provide an extensive survey of related work, and we demonstrate the distinguishing features of our proposed model with respect to the existing models. We implement a healthcare-monitoring application and a location-based service prototype over DIRT. We also provide a performance analysis of the model with respect to some of its important characteristics tested in various scenarios