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Web browsers are able to access resources hosted anywhere in the world, yet content and features on personal devices remain largely inaccessible. Because of routing, addressing and security issues, web applications are unable to use local sensors, cameras and nearby network devices without resorting to proprietary extensions. Several projects have attempted to overcome these limitations yet none provide a full solution which embraces existing web concepts and scales across multiple devices. This paper describes an improved approach based on a combination of Web Intents for discovery, a custom local naming system and routing provided by the webinos framework. We show that it can be applied to existing services and that improves upon the state of the art in privacy, consistency and flexibility.

JavaScript is a sequential programming language that has a large potential for parallel execution in Web applications. Thread-level speculation can take advantage of this, but it has a large memory overhead. In this article, we evaluate the effects of adjusting various parameters for thread-level speculation. Our results clearly show that thread-level speculation is a useful technique for taking advantage of multicore architectures for JavaScript in Web applications, that nested speculation is required in thread-level speculation, and that the execution characteristics of Web applications significantly reduce the needed memory, the number of threads, and the depth of our speculation.