The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
From its start using supercomputers, scientific computing constantly evolved to the next levels such as cluster computing, meta-computing, or computational Grids. Today, Cloud Computing is emerging as the paradigm for the next generation of large-scale scientific computing, eliminating the need of hosting expensive computing hardware. Scientists still have their Grid environments in place and can...
With the rapid development of robot technology, It is becoming increasingly difficult to design and maintain robot systems. This makes it necessary to reuse hardware and software modules to lower the difficulty and the cost for the robot system design. In this paper we present a model of modular robot-F-Model. It uses functional component modules to construct function-oriented robot applications....
Intelligent instruments have become a common practice in many industrial applications. Unfortunately, these devices vary in their communication interfaces, commands and types of data they capture, making upper development complex and difficult. To address this issue, we design a scalable data collection middleware (DCM). The middleware acts as a bridge between instruments access and high application,...
Cloud services that provide virtualized computational clusters present a dichotomy of systems management challenges, as the virtual clusters may be owned and administered by one entity, while the underlying physical fabric may belong to a different entity. On the physical fabric, scalable tools that ldquopushrdquo configuration changes and software updates to the compute nodes are effective, since...
General-purpose middleware, by definition, cannot readily support domain-specific semantics without significant manual efforts in specializing the middleware. This paper presents GRAFT (GeneRative Aspects for Fault Tolerance), which is a model-driven, automated, and aspects-based approach for specializing general-purpose middleware with failure handling and recovery semantics imposed by a domain.Model-driven...
Distributed sensor Webs typically operate in dynamic environments where operating conditions, transient phenomena, availability of resources, and network connection quality change frequently and unpredictably. Often these changes can neither be completely anticipated nor accurately described during development or deployment. Our prior work has described how we developed agents and services that are...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.