In the future, micro processors will be embedded in various appliances such as home appliances, digital AV appliances, and personal appliances. These appliances will be connected to various types of networks, such as Internet, and communicate with each other. The communication of appliances would integrate some services provided by these appliances and make new services.The future home computing environment requires home computing middleware on which we can control home appliances easily and develop new services without a great effort. Most of recent middleware for home computing such as Jini and HAVi has no compatibility and adaptability with each other. Therefore it is not easy for these appliances to communicate with other appliances which are controlled by any other middleware. Although there are some protocol bridges such as bridge between HAVi and Jini by Philips, Sony and Sun, these are almost only bridges of one and one. We need a framework with which we can integrate any middleware in a simpler way.In this paper, we propose a framework for connecting home computing middleware. It enables any appliance under any middleware's control to communicate any other appliances. We show also a service integration framework with Internet service and home computing middleware.
The number of various kinds of everyday objects that contain embedded computers is increasing due to the popularity of ubiquitous computing. While component-based software development becomes common in a variety of application domains, ubiquitous computing requires component frameworks that offer more advanced features than the current component frameworks. This paper explores a component framework in the context of a ubiquitous computing system. We designed and implemented a system coordinating various home appliances, called SENCHA. SENCHA is built on the OSGi component framework. Although the framework provides facilities for dynamically changing environments, this paper reveals several problems of the framework in our experience.
Device drivers are the major cause of operating system failure. Prior research proposed frameworks to improve the reliability of device drivers by means of driver restart. While avoiding any instrumentation of the driver, this approach does not always allow graceful recovery. In this paper, we propose a framework for self-healing device drivers that lets the driver developer consider and implement the failure recovery of device drivers. For this purpose, our framework provides easy to use and light-weight persistent memory that preserves the state of the driver needed to successfully recover. We developped a prototype on top of the L4 microkernel, and were able to achieve full recovery of crashed drivers as fast as 0.2 ms for different device drivers. In all cases, recovery was totally transparent for the user.
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