<i>iShare</i>: Balancing I/O performance isolation and disk I/O efficiency in virtualized environments

Wu, Song; Tao, Songqiao; Ling, Xiao; Fan, Hongyu; Jin, Hai; Ibrahim, Shadi

doi:10.1002/cpe.3496

Cited by 10 publications

(4 citation statements)

References 17 publications

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“…However, it cannot provide a solution for the network I/O unfairness of the virtualized system, and there is a limit to the I/O control of the disk area. In a similar technique, Songe [59] proposed I-Share, which assigns a weight to each VM and allocates a proportional time slice based on the weight. Then, I-Share dynamically adjusts the time slice according to the disk status for each VM to fairly allocate bandwidth.…”

Section: Related Workmentioning

confidence: 99%

Fine-Grained I/O Traffic Control Middleware for I/O Fairness in Virtualized System

Lee

2022

IEEE Access

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The development of IT technology in the 21st century has created a new paradigm for real-time, data-intensive user services, such as connected cars, smart factories, and remote health care services. The considerable computational resources required by these services are rendering the cloud increasingly more important. In the cloud server, user services are forced to share physical resources because of the emerging resource competition, thus introducing various types of unpredictable workloads. The core technology of the cloud is a virtualized system, which isolates and shares the powerful physical resources of the server in the form of a virtual machine (VM) to increase resource efficiency. However, the scheduling policy of a virtual CPU (vCPU), which is a logical CPU of a VM, generally schedules the vCPU based on the degree of occupation of the physical CPU (pCPU) without regarding I/O strength; so it brings the unfair I/O performance among VMs in the virtualized systems. The user services performing on the VM are not aware of the user-contention architectures, which sharing of I/O devices, in the virtualized systems; Furthermore, the current virtualized system simply adopts the Linux-based I/O processing process which optimized for user-contention-free architectures. Therefore, the architecture that brings the unfair usage of I/O devices among user services is hardly regarded and has low awareness in current virtualized systems. To overcome this problem, in this study, I-Balancer is presented to provide fair I/O performance among I/O-intensive user services by applying an asynchronous inter-communication control technique for the virtualized system with a high VM density. The main design goal of I-Balancer is to increase the awareness of user-contention architectures in the hypervisor. I-Balancer derives the fine-grained workload and I/O strength for each vCPU during the scheduler and event channel areas. Subsequently, to strengthen fair I/O performance, an I/O traffic control mechanism is implemented to control the inter-domain communication traffic according to the I/O strength of the VMs. The experimental results prove that I-Balancer provides a fairer network and disk I/O performance than the existing virtualized systems with negligible performance interference and overhead.

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Section: Related Workmentioning

confidence: 99%

Fine-Grained I/O Traffic Control Middleware for I/O Fairness in Virtualized System

Lee

2022

IEEE Access

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“…Other techniques [32][33] can be added to detect and handle IO or disk interference. Metric Collection.…”

Section: Lra Performance Monitormentioning

confidence: 99%

Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters

Yang

Sun

et al. 2020

IEEE Trans. Parallel Distrib. Syst.

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It is a long-standing challenge to achieve a high degree of resource utilization in cluster scheduling. Resource oversubscription has become a common practice in improving resource utilization and cost reduction. However, current centralized approaches to oversubscription suffer from the issue with resource mismatch and fail to take into account other performance requirements, e.g., tail latency. In this paper we present ROSE, a new resource management platform capable of conducting performance-aware resource oversubscription. ROSE allows latency-sensitive long-running applications (LRAs) to co-exist with computation-intensive batch jobs. Instead of waiting for resource allocation to be confirmed by the centralized scheduler, job managers in ROSE can independently request to launch speculative tasks within specific machines according to their suitability for oversubscription. Node agents of those machines can however avoid any excessive resource oversubscription by means of a mechanism for admission control using multi-resource threshold control and performance-aware resource throttle. Experiments show that in case of mixed co-location of batch jobs and latency-sensitive LRAs, the CPU utilization and the disk utilization can reach 56.34% and 43.49%, respectively, but the 95th percentile of read latency in YCSB workloads only increases by 5.4% against the case of executing the LRAs alone.

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“…In the cloud, storage isolation for shared storage has been the subject of intensive research. However, most isolation techniques treat the networked storage system as a black box, and they are unknown about underlying resource usage. However, the SDFS can get the exact status of the underlying resource usage.…”

Section: Related Workmentioning

confidence: 99%

SDFS: A software‐defined file system for multitenant cloud storage

et al. 2018

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Performance isolation is highly desirable in cloud platforms where the virtual disks of virtual machines are simply large files on the shared and networked storage servers. However, existing isolation techniques cannot deal with the implications of the file system used by the networked storage servers, such that underlying resource usage is unpredictable (eg, the delayed write-back mechanism could postpone writes, and the journaling mechanism could amplify writes). The lack of visibility on underlying resource usage leads to the predicament of being unable to meet isolation goals. In this paper, we present a software-defined file system (SDFS) that exploits the underlying file system to allocate resources at per-image-file granularity and provide tenants with guaranteed throughput. The SDFS comprises two components: control plane and data plane. At the control plane, we provide a set of system calls to document tenant performance requirements into the metadata of image files. At the data plane, we construct a file-based scheduler to manage memory and disk resources according to the tenant performance requirements. The SDFS design does not require a modification to guest operating systems, hypervisors, or file server protocols. Through a prototype implementation, we demonstrate that the SDFS can meet isolation goals and increase resource utilization with negligible overhead.

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iShare: Balancing I/O performance isolation and disk I/O efficiency in virtualized environments

Cited by 10 publications

References 17 publications

Fine-Grained I/O Traffic Control Middleware for I/O Fairness in Virtualized System

Fine-Grained I/O Traffic Control Middleware for I/O Fairness in Virtualized System

Performance-Aware Speculative Resource Oversubscription for Large-Scale Clusters

SDFS: A software‐defined file system for multitenant cloud storage

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