Abstract-In this paper an enhanced Layer-2 multi-hop wireless network implementation for Infrastructure based Wireless Mesh Networks is presented. This work combines the flexibility of Layer-2 Wireless Bridging with the dynamic self-configuring capabilities of MANET routing. The main contribution of this paper is an investigation of the issues encountered when applying a pure bridging based solution to wireless multi-hop networks and the development of several mechanisms to overcome these problems. This work was implemented and deployed in a real testbed environment using Routerboard hardware and utilising a number of open-source network tools in accordance with the needs of our platform. The developed testbed incorporates self-healing and self-configuration features without requiring a traditional MANET routing protocol. Instead the 802.11 beacon frames sent by the Access Points were extended with link information to allow optimal construction of the mesh topology.Results are presented which demonstrate the automated topology construction mechanism. Further results also show the enhancements made to the normal 802.11 Layer-2 mobility mechanism.
This paper describes an approach to extend process modeling for engineering design applications with fault-tolerance and resilience capabilities. It is based on the requirements for application-level error handling, which is a requirement for petascale and exascale scientific computing. This complements the traditional fault-tolerance management features provided by the existing hardware and distributed systems. These are often based on data and operations duplication and migration, and on checkpoint-restart procedures. We show how they can be optimized for high-performance infrastructures. This approach is applied on a prototype tested against industrial testcases for optimization of engineering design artifacts.his electronic document is a "live" template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Cloud computing infrastructures support system and network fault-tolerance. They transparently repair and prevent communication and software errors. They also allow duplication and migration of jobs and data to prevent hardware failures. However, only limited work has been done so far on application resilience, i.e., the ability to resume normal execution after errors and abnormal executions in distributed environments and clouds. This paper addresses open issues and solutions for application errors detection and management. It also overviews a testbed used to to design, deploy, execute, monitor, restart and resume distributed applications on cloud infrastructures in cases of failures.
In numeric optimization algorithms errors at application level considerably affect the performance of their execution on distributed infrastructures. Hours of execution can be lost only due to bad parameter configurations. Though current grid workflow systems have facilitated the deployment of complex scientific applications on distributed environments, the error handling mechanisms remain mostly those provided by the middleware. In this paper, we propose a collaborative platform for the execution of scientific experiments in which we integrate a new approach for treating application errors, using the dynamicity and exception handling mechanisms of the YAWL workflow management system. Thus, application errors are correctly detected and appropriate handling procedures are triggered in order to save as much as possible of the work already executed.
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