Abstract Cloud computing has been seen as a promising opportunity to improve enterprise’s revenues. With the emergence of Cloud computing, applications are moving away from ownership-based programs to Web delivered hosted services. Integrating and outsourcing business processes to Cloud computing services necessitate a uniform description format that facilitates the design, customization, and composition. In this context, Agent Interaction Protocols (AiP) are... Cloud computing has been seen as a promising opportunity to improve enterprise’s revenues. With the emergence of Cloud computing, applications are moving away from ownership-based programs to Web delivered hosted services. Integrating and outsourcing business processes to Cloud computing services necessitate a uniform description format that facilitates the design, customization, and composition. In this context, Agent Interaction Protocols (AiP) are a useful way for structuring communicative interaction among business partners, by organizing messages into relevant contexts and providing a common guide to the all parts. The challenges that Cloud computing poses to business processes integration, emphasize the need for addressing two major issues: (i) which integration approach should be used allowing an adequate description of interaction aspects of the composed software components? (ii) how are these interaction descriptions stored and shared to allow other software artifacts to (re)use them? To address these issues, we proposed an AiP-based approach for reusing and aggregating existing protocols to create a new desired business application [6][2]. In this paper, we develop an agent-based architecture that supports composition and flexible scaling of services in a virtualized Cloud computing environment. The main goal of the proposed architecture is to address and tackle interoperability challenges at the Cloud application level. It solves the interoperability issues between heterogeneous Cloud services environments by offering a harmonized API. Also, it enables the deployment of applications at public, private or hybrid multi-Cloud environments. Read More Read Less

Abstract Web services facilitate the sharing of resources between groups within a collaborative environment. Privacy is an important concern when sharing data. Access control can be used to protect privacy by limiting the access privileges to the underlying resources. This paper outlines a framework for applying access control to data providing Web services. The framework makes use of ontologies allowing for... Web services facilitate the sharing of resources between groups within a collaborative environment. Privacy is an important concern when sharing data. Access control can be used to protect privacy by limiting the access privileges to the underlying resources. This paper outlines a framework for applying access control to data providing Web services. The framework makes use of ontologies allowing for a clear description of the functionality offered by the services within the collaborative environment. The implementation of the framework is described using XACML as a basis for the access control. XACML is extended to function with the defined ontologies in order to provide fine-grained access control. Finally, a case study is worked through showing how the proposed framework could be applied within a healthcare environment. Read More Read Less

Abstract In this paper, it is proposed an improved method to aim at the illumination vary problem for detecting illegal parking in the surveillance video. The method uses a frame to frame subtraction method for modeling the background, and update it, then using the background subtraction method to get the moving candidates, it can obtain the accurately moving objects after appropriate... In this paper, it is proposed an improved method to aim at the illumination vary problem for detecting illegal parking in the surveillance video. The method uses a frame to frame subtraction method for modeling the background, and update it, then using the background subtraction method to get the moving candidates, it can obtain the accurately moving objects after appropriate processing. At the same time, the work also used a method based on texture and color histogram. Besides, in order to detect the salient object, we propose a novel adaptive feature combination mechanism to combine the different features, in which the combining weight of each static map is learned using online learning. At last, it justifies whether the vehicles are parked illegally or not. Experiment results demonstrate that the proposed method significantly outperforms the other state-of-the-art methods, and it is more suitable for the real scenes. Read More Read Less

Abstract Constraints have played an important role in the construction of GUIs, where they are mainly used to define the layout of the widgets. Resizing behavior is very important in GUIs because areas have domain specific parameters such as form the resizing of windows. If linear objective function is used and window is resized then error is not distributed equally. To... Constraints have played an important role in the construction of GUIs, where they are mainly used to define the layout of the widgets. Resizing behavior is very important in GUIs because areas have domain specific parameters such as form the resizing of windows. If linear objective function is used and window is resized then error is not distributed equally. To distribute the error equally, a quadratic objective function is introduced. Different algorithms are widely used for solving linear constraints and quadratic problems in a variety of different scientific areas. The linear relxation, Kaczmarz, direct and linear programming methods are common methods for solving linear constraints for GUI layout. The interior point and active set methods are most commonly used techniques to solve quadratic programming problems. Current constraint solvers designed for GUI layout do not use interior point methods for solving a quadratic objective function subject to linear equality and inequality constraints. In this paper, performance aspects and the convergence speed of interior point and active set methods are compared along with one most commonly used linear programming method when they are implemented for graphical user interface layout. The performance and convergence of the proposed algorithms are evaluated empirically using randomly generated UI layout specifications of various sizes. The results show that the interior point algorithms perform significantly better than the Simplex method and QOCA-solver, which uses the active set method implementation for solving quadratic optimization. Read More Read Less