Weight‐based strategy for an I/O‐intensive application at a cloud data center. (25th May 2018)

• Record Type: Journal Article
• Authors: Peng, Junjie; Liu, Danxu; Wang, Yingtao; Zeng, Ying; Cheng, Feng; Zhang, Wenqiang
• Is Part Of: Concurrency and computation. Volume 30:Number 19(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-05-25
• Subjects: IOPS -- process scheduling -- random I/O -- small files -- weight; Parallel processing (Electronic computers) -- Periodicals; Parallel computers -- Periodicals; 004.35
• DOI: 10.1002/cpe.4648
• Languages: English
• ISSNs: 1532-0626

Abstract

Summary: Applications with different characteristics in the cloud may have different resources preferences. However, traditional resource allocation and scheduling strategies rarely take into account the characteristics of applications. Considering that an I/O‐intensive application is a typical type of application and that frequent I/O accesses, especially small files randomly accessing the disk, may lead to an inefficient use of resources and reduce the quality of service (QoS) of applications, a weight allocation strategy is proposed based on the available resources that a physical server can provide as well as the characteristics of the applications. Using the weight obtained, a resource allocation and scheduling strategy is presented based on the specific application characteristics in the data center. Extensive experiments show that the strategy is correct and can guarantee a high concurrency of I/O per second (IOPS) in a cloud data center with high QoS. Additionally, the strategy can efficiently improve the utilization of the disk and resources of the data center without affecting the service quality of applications.