Abstract
Most studies of resource management in multiprogrammed parallel systems have ignored the I/O performed by applications. Recent studies have demonstrated that significant I/O operations are performed by a number of different classes of parallel applications. This paper focuses on some basic issues that underlie I/O management and system performance in multiprogrammed parallel environments that run applications with I/O. Characterization of the I/O behavior of parallel applications is discussed first followed by an investigation of three different I/O management strategies. Based on simulation models this research demonstrates a strong relationship among I/O characteristics of applications, I/O management strategies, and system performance. For example, using CPU-I/O overlap in applications and I/O management strategies that incorporate data replication are found to be beneficial for a variety of different multi-programmed parallel environments.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
