dc.contributor.author |
O’Sullivan, Michael |
en |
dc.contributor.author |
Walker, Cameron |
en |
dc.date.accessioned |
2008-12-11T03:06:09Z |
en |
dc.date.available |
2008-12-11T03:06:09Z |
en |
dc.date.issued |
2008 |
en |
dc.identifier.citation |
Report University of Auckland School of Engineering 670, (2008) |
en |
dc.identifier.issn |
0111-0136 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/3249 |
en |
dc.description.abstract |
There is a wealth of research on storage systems,
focusing on the storage system architecture, intelligent
use of storage resources, and mass storage
systems. However, very little research looks at a
key component of centralized storage systems, the
physical fabric of the network that holds the storage
system together. “Best practice” frameworks
for the management of storage systems exist, but
the design of the network fabric within storage systems
has relied heavily on the knowledge and expertise
of storage systems architects, administrators
and managers.
In this paper we present the Network Capacity
Management Cycle (NCMC), a new framework for
network capacity management. This framework
is unique because it was developed around wellestablished
Operations Research methods, namely
simulation and optimization. Applying these methods
to the network fabric of storage systems allows
a majority of the framework to become automated,
significantly reducing the workload for storage systems
architects, administrators and managers.
The NCMC utilizes cutting-edge network discovery
and monitoring tools, leading network simulation
software and new methods for network capacity design.
We describe each of the steps of the NCMC
in detail and discuss how to automate almost all
of these steps. A case study is also presented that
demonstrates one iteration of the NCMC applied to
an existing storage system in the Department of Engineering
Science at the University of Auckland.
In addition to illustrating the steps of the process,
this case study also outlines the numerous complications
we have encountered in our initial use of the
NCMC. |
en |
dc.language.iso |
en |
en |
dc.publisher |
Faculty of Engineering, University of Auckland, New Zealand. |
en |
dc.relation.ispartofseries |
Report (University of Auckland. Faculty of Engineering) |
en |
dc.relation.isreferencedby |
UoA1903121 |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject.ddc |
SERIALS Report School Eng |
en |
dc.title |
Automated storage network capacity management utilizing simulation and optimization |
en |
dc.type |
Technical Report |
en |
dc.subject.marsden |
Fields of Research::290000 Engineering and Technology |
en |
dc.rights.holder |
Copyright: the author |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/OpenAccess |
en |
pubs.org-id |
Engineering |
en |