In order to solve the serial execution caused by multithreaded concurrent access to shared data and realize the dynamic load balance of tasks on shared memory symmetric multi-processor (multi-core) computing platform, new design methods are presented. By presenting multicore distributed locks, multicore shared data localization, multicore distributed queue, the new design methods can greatly decrease the number of accessing the shared data and realize the dynamic load balance of tasks. For illustration, design scheme of multicore task manager of server software are given by using new design methods. Results shows the new design methods reduce the number of access shared resources, partially resolve the serial execution of cooperative threads and realize the dynamic task balance of server software, which validate the superiority of this approach.
While cloud computing related technologies are gaining increasing amount of popularities nowadays, we are focusing our resent research on the aspects of software evolution processes under the environments of cloud computing. During our pervious research, we have proposed SEPUCCC, a software evolution process prototype under the circumstancees of cloud computing. In this article, we are going to have a further disscussion on SEPUCCC by giving it’s in-depth performance analysis, by which the model’s abilities, the abilities to supporting the evolution process under the circumstances of cloud computing as well as reducing the cost of process improvemnet, was demomstrated.
In view of the important reference value of weather radar data in the area of weather-modification-decision-making and inspired by the theories of graphics and image processing, we propose an algorithm of calculating the movement direction and movement velocity of radar echo based on radar data analysis. The implementation of the algorithm can effectively improve the early warning ability towards severe weather and has great significance in the construction of command and warning systems for weather modification.
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.