http://homepage.cs.latrobe.edu.au/sloke/papers/1-s2.0-S0167739X12001318-main.pdf

Mobile cloud computing

Nowadays, numerous journals and conferences have published articles related to context-aware systems, indicating many researchers' interest. Therefore, the goal of this paper is to review the works that were published in journals, suggest a new classification framework of context-aware systems, and explore each feature of classification framework. This paper is based on a literature review of context-aware systems from 2000 to 2007 using a keyword index and article title search. The classification framework is developed based on the architecture of context-aware systems, which consists of the following five layers: concept and research layer, network layer, middleware layer, application layer and user infrastructure layer. The articles are categorized based on the classification framework. This paper allows researchers to extract several lessons learned that are important for the implementation of context-aware systems.

Context-aware systems

Privacy and Freedom.

The capacity to gather and timely deliver to the service level any relevant information that can characterize the service-provisioning environment, such as computing resources/capabilities, physical device location, user preferences, and time constraints, usually defined as context-awareness, is widely recognized as a core function for the development of modern ubiquitous and mobile systems. Much work has been done to enable context-awareness and to ease the diffusion of context-aware services; at the same time, several middleware solutions have been designed to transparently implement context management and provisioning in the mobile system. However, to the best of our knowledge, an in-depth analysis of the context data distribution, namely, the function in charge of distributing context data to interested entities, is still missing. Starting from the core assumption that only effective and efficient context data distribution can pave the way to the deployment of truly context-aware services, this article aims at putting together current research efforts to derive an original and holistic view of the existing literature. We present a unified architectural model and a new taxonomy for context data distribution by considering and comparing a large number of solutions. Finally, based on our analysis, we draw some of the research challenges still unsolved and identify some possible directions for future work.

/pdf/a-survey-of-context-data-distribution-for-mobile-ubiquitous-5bopu05rxl.pdf

A survey of context data distribution for mobile ubiquitous systems

Assurance requirements were included in the disposal regulations to compensate in a qualitative manner for the inherent uncertainties in projecting the behavior of natural and engineered components of the WIPP for many thousands of years (50 FR 38072). Section 194.42 is one of the six assurance requirements in the Compliance Criteria. Section 194.42 specifically addresses requirements for monitoring the disposal system during preand post-closure operations. This requirement distinguishes between preand post-closure monitoring because of the differences in monitoring techniques used to access the repository during operations (pre­ closure) and after the repository has been backfilled and sealed (post-closure). The purpose of monitoring is to confirm that the repository is behaving as predicted.

https://repository.kallipos.gr/bitstream/11419/859/1/02_chapter_A1.pdf

Monitoring στη ΜΕΘ

The Mobile Collaboration Architecture is a middleware architecture for developing and deploying context-aware collaborative applications for mobile users. MoCA comprises client and server APIs, a set of core services for registering applications, the ability to monitor and infer the execution context of mobile devices, and an object-oriented framework for instantiating and customizing server proxies according to applications specific adaptation and context-processing requirements. MoCA facilitates the development of distributed programs that require access to individual and group context to define application-specific and dynamic adaptations. MoCAs design focuses on simplicity, extensibility, scalability, protocol heterogeneity, and application customization.

/pdf/moca-a-middleware-for-developing-collaborative-applications-npykssbuz5.pdf

MoCA: A Middleware for Developing Collaborative Applications for Mobile Users

Privacy issues related to the access of context information are becoming increasingly important as we move toward ubiquitous and mobile computing environments. In this article, we describe the design and implementation of a privacy service, called Context Privacy Service (CoPS), to control how, when and to whom disclose a users context information. Based on the results of an end-user survey and experience reported by other research groups, we identified the main service requirements and designed CoPS aiming flexibility, generality, simplicity and fine-grained privacy control. CoPS is an optional service of our context-provisioning middleware MoCA and allows users of context- and location-aware applications to define and manage their privacy policies regarding disclosure of their context information. The main features supported by CoPS are group-based access control, pessimistic and optimistic approaches for access control, hierarchical privacy rules, mixed-initiative interaction, and rule specificity analysis.

/pdf/a-privacy-service-for-context-aware-mobile-computing-57jycq2nnu.pdf

A Privacy Service for Context-aware Mobile Computing

This paper describes a middleware architecture with its location inference service (LIS), and an application for context-aware mobile collaboration which is based on this architecture. The architecture, named Mobile Collaboration Architecture - MoCA comprises client and server APIs, a set of core services for registering applications, monitoring and inferring the execution context of mobile devices, in particular their location. This architecture is suited for the development of new kinds of collaborative applications in which the context information (connectivity, location) plays a central role in defining both the group of collaborators, and the communication mode.

/pdf/support-for-context-aware-collaboration-1ej6kxfx3x.pdf

Support for Context-Aware Collaboration

This article present a software architecture and services, which comprise a middleware infrastructure for the development and operation of collaborative applications for mobile users. The design of the architecture, named Mobile Collaboration Architecture - MoCA, was driven by the following goals: support scalability in terms of the number of users and services, flexibility and extensibility with respect to the used communication protocols and the application requirements, and facilitate the monitoring, processing and use of context information regarding single users and the collaborative group within the applications.

/pdf/an-architecture-supporting-the-development-of-collaborative-1556e02tso.pdf

An architecture supporting the development of collaborative applications for mobile users

The development of location and context-aware applications is greatly facilitated by the use of context-provisioning middleware. However, development of such applications still remains a challenge from the point of view of software engineering. In this paper we present MoCA, a service-oriented middleware architecture that supports the development and deployment of distributed context-aware applications for mobile users. Besides explaining its main services and APIs, we discuss in which ways the MoCA architecture supports some well-known software engineering principles that apply to the design and implementation of context-aware applications. Furthermore, we give an overview of its usage and present the most notable prototype applications that have been developed on the top of MoCA.

/pdf/a-middleware-architecture-for-context-aware-and-location-13i4yxf8j7.pdf

Vagner Sacramento

Papers

MoCA: A Middleware for Developing Collaborative Applications for Mobile Users

A Privacy Service for Context-aware Mobile Computing

Support for Context-Aware Collaboration

An architecture supporting the development of collaborative applications for mobile users

A Middleware Architecture for Context-Aware and Location-Based Mobile Applications