Paper Info
Title
Towards automating the configuration of a distributed storage system
Abstract
Versatile storage systems aim to maximize storage resource utilization by supporting the ability to `morph' the storage system to best match the application's demands. To this end, versatile storage systems significantly extend the deployment- or run-time configurability of the storage system. This flexibility, however, introduces a new problem: a much larger, and potentially dynamic, configuration space makes manually configuring the storage system an undesirable if not unfeasible task. This paper presents our initial progress towards answering the question: ” How can we configure a distributed storage system (i.e., enable/disable its various optimizations and configure their parameters) with minimal human intervention?” We discuss why manually configuring the storage system is undesirable; present the success criteria for an automated configuration solution; propose a generic architecture that supports automated configuration; and, finally, instantiate this architecture into a first prototype, which controls the configuration of similarity detection optimizations in the {MosaStore} distributed storage system. Our evaluation results demonstrate that the prototype can provide performance close to the optimal configuration at the cost of minimal overhead.
Year
DOI
Venue
2010
10.1109/GRID.2010.5697971
Grid Computing
Keywords
Field
DocType
configuration management,distributed processing,storage management,MosaStore,automated configuration solution,distributed storage system,similarity detection optimizations,storage resource utilization,versatile storage systems,automated configuration,distributed storage systems,self-tunning
Architecture,Software deployment,Converged storage,Computer data storage,Computer science,Distributed data store,Real-time computing,Information repository,Configuration management,Embedded system,Configuration space,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4244-9347-0
7
0.66
References 
Authors
14
2
Name
Order
Citations
PageRank
Lauro Beltrao Costa119412.23
Matei Ripeanu22461233.84