As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
We discuss schedulers for a heterogeneous distributed platform, designed to execute a variety of tasks in a non-dedicated environment. The platform uses and controls a large number of non-dedicated heterogeneous computational resources in a local network. Several self-scheduling algorithms have been adapted to take into account the computational capacity of each workstation of the network. To evaluate the schedulers we use the platform to execute a software tool for molecular docking. We analyze the performance of the self-scheduling algorithms and their impact on the execution time of the application.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.