NDLI: ExaPlan: Queueing-Based Data Placement and Provisioning for Large Tiered Storage Systems

Content Provider	IEEE Xplore Digital Library
Author	Iliadis, I. Jelitto, J. Yusik Kim Sarafijanovic, S. Venkatesan, V.
Copyright Year	2015
Abstract	Multi-tiered storage, where each tier comprises one type of storage device, e.g., SSD, HDD, is a commonly used approach to achieve both high performance and cost efficiency in large-scale systems that need to store data with vastly different access characteristics. By aligning the access characteristics of the data to the characteristics of the storage devices, higher performance can be achieved for any given cost. This article presents ExaPlan, a method to determine both the data-to-tier assignment and the number of devices in each tier that minimize the system's mean response time for a given budget and workload. In contrast to other methods that constrain or minimize the system load, ExaPlan directly minimizes the system's mean response time estimated by a queueing model. Minimizing the mean response time is typically intractable as the resulting optimization problem is both non-convex and combinatorial in nature. ExaPlan circumvents this intractability by introducing a parameterized data-placement approach that makes it a highly scalable method that can be easily applied to exascale systems. Through experiments that use parameters from real-world storage systems, such as CERN and LOFAR, it is demonstrated that ExaPlan provides solutions that yield lower mean response times than previous works. It is also capable of determining a data-to-tier assignment both at the level of files and at the level of fixed-size extents. For some of the workloads evaluated, file-level placement exhibited a significant performance improvement over extent-level placement.
Starting Page	218
Ending Page	227
File Size	699844
Page Count	10
File Format	PDF
ISSN	15267539
e-ISBN	9781467377201
DOI	10.1109/MASCOTS.2015.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Time factors Performance evaluation Optimization Context Space exploration Large-scale systems file assignment multi-tiered storage dimensioning response time storage optimization
Content Type	Text
Resource Type	Article

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