IP address lookup is one of the most challenging problems of Internet routers. In this paper, an IP lookup rate of 263 Mlps (Million lookups per second) is achieved using a novel architecture on reconfigurable hardware platform. A partial reconfiguration may be needed for a small fraction of route updates. Prefixes can be added or removed at a rate of 2 million updates per second, including this hardware reconfiguration overhead. A route update may fail due to the physical resource limitations. In this case, which is rare if the architecture is properly configured initially, a full reconfiguration is needed to allocate more resources to the lookup unit.
Grid systems are popular today due to their ability to solve large problems in business and science. Job failures which are inherent in any computational environment are more common in grids due to their dynamic and complex nature. Furthermore, traditional methods for job failure recovery have proven costly and thus a need to shift toward proactive and predictive management strategies is necessary in such systems. In this paper, an innovative effort has been made to predict the futurity of jobs in a production grid environment. First of all, we investigated the relationship between workload characteristics and job failures by analyzing workload traces of AuverGrid which is a part of EGEE (Enabling Grids for E-science) project. After the recognition of failure patterns, the success or failure status of jobs during 6 months of AuverGrid activity was predicted with approximately 96% accuracy. The quality of services on the grid can be improved by integrating the result of this work into management services like scheduling and monitoring.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.