Affinity aware scheduling model of cluster nodes in private clouds. (1st October 2017)

• Record Type: Journal Article
• Authors: Yokoyama, Daniel; Schulze, Bruno; Kloh, Henrique; Bandini, Matheus; Rebello, Vinod
• Is Part Of: Journal of network and computer applications. Volume 95(2017)
• Page Start: 94
• Page End: 104
• Publication Date: 2017-10-01
• Subjects: Private clouds -- Scheduling -- Tasks affinities -- Interference -- Virtualization; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2017.08.001
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: Running applications on a cloud environment without checking and meeting their allocation and performance requirements may lead to unexpected application slowdown and infrastructure under-utilization. In addition, competition for same shared resources may cause performance degradation when applications with similar resource usage profiles are scheduled concurrently. This paper presents an affinity-based model for scheduling virtual machines that host and run scientific applications on a private cloud environment. The main contributions of the proposed model are: i) an approach that exploits the concept of affinity relations among competitive applications; ii) a set of experiments using consolidated HPC benchmarks and their analysis to assess the performance of two concurrent applications; and iii) a novel scheduling algorithm based on an affinity relation among competitive applications. Abstract : Highlights: An affinity aware scheduler, focused on system throughput, is introduced. Based on co-allocated job interactions, it selects the host with better throughput. To study affinity, a comprehensive experiment with selected benchmark was performed. Simulations proved the advantages proposed by the affinity aware scheduler. Based on the simulations, an affinity FIFO scheduler is also proposed and evaluated.