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Minerva: Proactive Disk Scheduling for QoS in Multitier, Multitenant Cloud
Environments
Abstract:
In recent years, Internet-connected devices have become ubiquitous, leading to
increased demand forcomputing and storage resources. The cloud has emerged
as a cost-effective and scalable solution to infrastructure requirements, making it
possible to consolidate several disparate computing resources into a single
physical machine. However, while the availability of multicore CPUs, high-capacity
memory modules, and virtualization technologies has increased the density of
converged infrastructure, disk I/O has remained a substantial performance
bottleneck, especially when dealing with high-capacity mechanical disks. Here,
the authors investigate how proactive disk scheduling, backed by predictive
models and client-side coordination, can influence the overall throughput and
responsiveness of a cluster in data-intensive computing environments. They
evaluate their framework with a representative MapReduce job on a 1,200-
virtual-machine cluster, demonstrating a 21 percent improvement in completion
time under heavy disk contention.

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