Dynamic Context Monitoring For Adaptive And Context Aware Applications
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| Author | : Juhani Laitakari |
| Publisher | : |
| Total Pages | : 119 |
| Release | : 2007 |
| Genre | : Adaptive computing systems |
| ISBN | : 9789513870362 |
The field of ubiquitous computing has recently proliferated with a view to providing applications and services that are able to adapt to the rapidly changing situations in dynamic environments and act accordingly. The seamless adaptation to contexts and the alterations to behaviour require the applications to implement mechanisms for acquiring the context information. The required context information is usually diverse and scattered throughout the environment. On account of this, the processing of the context information and its compilation from separate sources is a requirement for the applications to reach adequate context-awareness for successful adaptation. To facilitate the development of context-aware applications, service-oriented architectures for supporting the context-awareness have emerged. In this work the research problem was to find a solution for dynamic acquisition and representation of distributed context information and its efficient provisioning for ubiquitous applications. As a solution to the research problem this work provides a service architecture called Context Monitoring Service (CMS), which utilizes a dynamically evolving semantic model of context information that the applications can access. A requirement analysis for such architecture was carried out by a literature review in the field of context-awareness. The architecture of the CMS was designed according to the identified requirements and a prototype implementation was created for validation purposes. The prototype implementation successfully validated the architecture's functionality and also opened issues for future research and development in this field.
| Author | : Norha Milena Villegas Machado |
| Publisher | : |
| Total Pages | : |
| Release | : 2013 |
| Genre | : |
| ISBN | : |
Our society is increasingly demanding situation-aware smarter software (SASS) systems, whose goals change over time and depend on context situations. A system with such properties must sense their dynamic environment and respond to changes quickly, accurately, and reliably, that is, to be context-aware and self-adaptive. The problem addressed in this dissertation is the dynamic management of context information, with the goal of improving the relevance of SASS systems' context-aware capabilities with respect to changes in their requirements and execution environment. Therefore, this dissertation focuses on the investigation of dynamic context management and self-adaptivity to: (i) improve context-awareness and exploit context information to enhance quality of user experience in SASS systems, and (ii) improve the dynamic capabilities of self-adaptivity in SASS systems. Context-awareness and self-adaptivity pose significant challenges for the engineering of SASS systems. Regarding context-awareness, the first challenge addressed in this dissertation is the impossibility of fully specifying environmental entities and the corresponding monitoring requirements at design-time. The second challenge arises from the continuous evolution of monitoring requirements due to changes in the system caused by self-adaptation. As a result, context monitoring strategies must be modeled and managed in such a way that they support the addition and deletion of context types and monitoring conditions at runtime. For this, the user must be integrated into the dynamic context management process. Concerning self-adaptivity, the third challenge is to control the dynamicity of adaptation goals, adaptation mechanisms, and monitoring infrastructures, and the way they affect each other in the adaptation process. This is to preserve the effectiveness of context monitoring requirements and thus self-adaptation. The fourth challenge, related also to self-adaptivity, concerns the assessment of adaptation mechanisms at runtime to prevent undesirable system states as a result of self-adaptation. Given these challenges, to improve context-awareness we made three contributions. First, we proposed the personal context sphere concept to empower users to control the life cycle of personal context information in user-centric SASS systems. Second, we proposed the SmarterContext ontology to model context information and its monitoring requirements supporting changes in these models at runtime. Third, we proposed an efficient context processing engine to discover implicit contextual facts from context information specified in changing context models. To improve self-adaptivity we made three contributions ...
| Author | : Phan Cong Vinh |
| Publisher | : Springer |
| Total Pages | : 369 |
| Release | : 2013-02-02 |
| Genre | : Computers |
| ISBN | : 3642366422 |
This book constitutes the thoroughly refereed proceedings of the first International Conference on Context-Aware Systems and Applications, ICCASA 2012, held in Ho Chi Minh City, Vietnam, in November 2012. The 34 revised full papers presented were carefully selected and reviewed from over 100 submissions. The papers cover a wide spectrum of issues in the area of Context-Aware Systems (CAS). CAS are going to shape networked computing systems of the future
| Author | : Tom Mens |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 418 |
| Release | : 2014-01-08 |
| Genre | : Computers |
| ISBN | : 3642453988 |
During the last few years, software evolution research has explored new domains such as the study of socio-technical aspects and collaboration between different individuals contributing to a software system, the use of search-based techniques and meta-heuristics, the mining of unstructured software repositories, the evolution of software requirements, and the dynamic adaptation of software systems at runtime. Also more and more attention is being paid to the evolution of collections of inter-related and inter-dependent software projects, be it in the form of web systems, software product families, software ecosystems or systems of systems. With this book, the editors present insightful contributions on these and other domains currently being intensively explored, written by renowned researchers in the respective fields of software evolution. Each chapter presents the state of the art in a particular topic, as well as the current research, available tool support and remaining challenges. The book is complemented by a glossary of important terms used in the community, a reference list of nearly 1,000 papers and books and tips on additional resources that may be useful to the reader (reference books, journals, standards and major scientific events in the domain of software evolution and datasets). This book is intended for all those interested in software engineering, and more particularly, software maintenance and evolution. Researchers and software practitioners alike will find in the contributed chapters an overview of the most recent findings, covering a broad spectrum of software evolution topics. In addition, it can also serve as the basis of graduate or postgraduate courses on e.g., software evolution, requirements engineering, model-driven software development or social informatics.
| Author | : Stojanovic, Dragan |
| Publisher | : IGI Global |
| Total Pages | : 462 |
| Release | : 2009-04-30 |
| Genre | : Computers |
| ISBN | : 1605662917 |
Provides research developments on mobile technologies and services. Explains how users of such applications access intelligent and adaptable information services, maximizing convenience and minimizing intrusion.
| Author | : Mohammad Ullah Khan |
| Publisher | : kassel university press GmbH |
| Total Pages | : 181 |
| Release | : 2010 |
| Genre | : Application software |
| ISBN | : 389958919X |
5.2.1 Runtime Matching of Plans and Types -- 5.2.2 Creation of a Stable Variability Model -- 5.2.3 Dynamicity of the Variability Model -- 5.3 Adaptation Reasoning -- 5.3.1 Basic Reasoning Approach -- 5.3.2 Meeting Resource Constraints -- 5.3.3 Meeting Architectural Constraints -- 5.3.4 Pros and Cons -- 6 Middleware -- 6.1 Middleware Architecture -- 6.1.1 Information Model -- 6.1.2 Bundle Manager -- 6.1.3 Adaptation Middleware -- 6.1.4 Repository -- 6.2 Middleware Implementation -- 6.2.1 Runtime Creation of the Variability Model -- 6.2.2 Adaptation Reasoning -- 6.2.3 Implementation Status -- 7 Methodology and Tools -- 7.1 Model Driven Development Approach -- 7.2 Methodology -- 7.2.1 Analysis -- 7.2.2 Domain Model -- 7.2.3 Variability Model -- 7.2.4 Model Transformation -- 7.2.5 Deployment -- 7.2.6 Testing and Validation -- 7.3 Tool Support -- 7.3.1 Modeling Tool -- 7.3.2 CQL Editor -- 7.3.3 UML2JavaTransformation Tool -- 7.3.4 Static Validation Tool -- 7.3.5 Context Simulation tool -- Part III Evaluations and Conclusions -- 8 Test Applications -- 8.1 Testing the Unanticipated Adaptation Behavior -- 8.1.1 Bundle 1 -- 8.1.2 Bundle 2 -- 8.1.3 Bundle 3 -- 8.1.4 Execution of the Test -- 8.1.5 Comments on the Test Results -- 8.2 Testing Scalability -- 8.2.1 Variability Models under Test -- 8.2.2 Execution of the Test -- 8.2.3 Test Results and Comments -- 9 Discussions -- 9.1 Limits of Unanticipation -- 9.2 Support of Unanticipation -- 9.3 Shortcomings -- 9.4 Future Work -- References -- Part IV Appendices -- A Updated Middleware Source Code -- B Publications -- Back cover
| Author | : Qian Yang |
| Publisher | : |
| Total Pages | : |
| Release | : 2012 |
| Genre | : |
| ISBN | : |
GoCity is designed to provide city visitors with up-to-date and context-aware information while they are exploring a city using Android mobile phones. This thesis not only introduces the design and analysis of GoCity, but also discusses four problems in leveraging three concepts--context-awareness, self-adaptation, and usability?in current mobile application design. First, few contexts other than location and time have been used in actual mobile applications. Second, there is no clear classification of context information for mobile application design. Third, mobile application designers lack systematic mechanisms to address sensing and monitoring requirements under changing context situations. This is crucial for effective self-adaptation. Fourth, most mobile applications have low usability due to poor user interface (UI) design. The model proposed in this thesis addresses these issues by (i) supporting diverse context dimensions, (ii) monitoring context changes continuously and tailoring the application behavior according to these changes, and (iii) improving UI design using selected usability methods. In addition, this thesis proposes two classifications of context information for mobile applications: source-based classification--personal context, mobile device context, and environmental context; and property-based classification--static context and dynamic context. The combination of these two classifications helps determine the observed context and its polling rate--the rate at which the context is collected--effectively. A distinctive feature of GoCity is that it supports two interaction modes--static mode and dynamic mode. In static mode, the application generates results only after the user sends the request to it. In other words, it does not actively generate results for users. In contrast, in the dynamic mode, the application continuously updates results even if the user does not send any request to it. The notion of an autonomic element (AE) is used for the dynamic mode to make GoCity self-adaptive. The polling rates on different contexts are also handled differently in the dynamic mode because of the differences among context properties. In addition, GoCity is composed of, but not limited to, four sub-applications. Each sub-application employs a variety of context information and can be implemented as an independent mobile application. Regarding usability, GoCity focuses on providing a simple and clear user interface as well as supporting user expectations for personalization. An experiment which involves a person visiting the city of Victoria was conducted to evaluate GoCity. In this evaluation, three determining factors of usability were employed to qualitatively and quantitatively assess GoCity. In addition, the static mode and dynamic mode were evaluated separately.
| Author | : Frederica Darema |
| Publisher | : Springer Nature |
| Total Pages | : 937 |
| Release | : 2023-10-16 |
| Genre | : Computers |
| ISBN | : 3031279867 |
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
| Author | : Klaus David |
| Publisher | : kassel university press GmbH |
| Total Pages | : 206 |
| Release | : 2006 |
| Genre | : |
| ISBN | : 3899582101 |
| Author | : Tai-hoon Kim |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 460 |
| Release | : 2011-11-29 |
| Genre | : Computers |
| ISBN | : 3642271820 |
This book comprises selected papers of the International Conference on Signal Processing, Image Processing and Pattern Recognition, SIP 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, in Conjunction with GDC 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focus on the various aspects of signal processing, image processing and pattern recognition.
