SLA-aware resource scheduling for cloud storage

Abstract

Abstract-As most on-line services are now hosted on the cloud, customers are requesting Service Level Agreements (SLAs) in order to use cloud services with acceptable Quality of Service. Nonetheless, the cloud is based on provisioning resources on demand (known as cloud elasticity). Hence, it is of primary importance to design multi-tenant cloud storage solutions that can provide storage services with guarantees equivalent or close to bare-metal deployments.In this paper, we address the problem of scheduling volume create requests to backend hosts. We design and implement SLAaware scheduling policies based on the distributed OpenStack scheduling model. We compare and contrast the existing scheduling storage policies by performing a simulation experiment. We demonstrate that a new SLA-aware scheduling policy that takes into account both the available capacity but also the I/O throughput of the backend nodes is needed to offer quality storage services. Our SLA-aware scheduling policy is able to achieve more than 20% improvement in the rate of SLA violations. Furthermore, it requires fewer storage nodes (hence lower capital expenses) and can provide higher volume I/O throughput performance compared to the default policies.

SLA-aware resource scheduling algorithm for cloud storage

“…7, we can know that the maximum number of hosts is 8, and the number of used hosts is increasing with the volume requests. Besides, when the number of request reaches 5, the number of hosts used in our algorithm is less than that in the maximum available IOPS sorting algorithm and the default maximum space available sorting algorithms which are raised in [33]. Furthermore, when the number of volume requests comes to 30, 8 hosts used in our presented algorithm, which is same with the other two algorithms.…”

“…In 2014, Yao et al [33] aimed to solve scheduling volume create requests to back-end hosts problem. They paid attention to the volume request scheduling policies, and they presented an OpenStack Cinder scheduler model-based multiple SLA-aware scheduling policies.…”

“…In the first part, the mainly evaluation results which are of the combination between filtering algorithm and weighting algorithm are shown in Table 1. In the second part, the main evaluation results of the combination between filtering algorithm and weighting algorithm are shown in Table 2, where the largest available IOPS sorting algorithm is a kind of SLA awareness scheduling algorithm in [33].…”

“…At this moment, the SLA violation occurs. The SLA violation is defined as dividing the total of SLA violations in the experimental sampling by the total of experimental sampling [33].…”

Multi-dimensional scheduling in cloud storage systems

“…Some more recent studies have focused on adding SLA during the VM placement process [5], or optimizing the job completion time in big data clusters [6]. In our recent work [7], we proposed an SLA-aware resource scheduling for cloud storage, assuming one request per unit time. Hence, the problem could be solved with relatively simple scheduling operations.…”