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Chapter 14
DOI: 10.4018/978-1-4666-8496-6.ch014
ABSTRACT
Storage services are an essential part of an organization’s IT infrastructure services and contribute a
signifcant part of total IT costs. For this reason, various service management techniques are applied to
optimize a service’s storage resource usage while still addressing requirements related to performance,
high availability, or disaster recovery. While storage virtualization has been the basis for many stor-
age service management optimizations, the relatively stable environments of enterprise IT enabled all
management activity to proceed in the context of change processes on specialized storage controllers.
Completely virtualized environments require frequent topological changes but also enable optimized
resource usage across shared resource pools. This enables lower resource and service management costs
if the right storage service management architecture is deployed. This chapter focuses on cloud service
management from a storage perspective, providing a set of proven methods and services to optimize
storage resource usage and the management architecture that enables them.
INTRODUCTION
The IT industry is experiencing massive data growth. Data is being created by an ever-increasing number
of sources through the proliferation of social media technology and applications, the near ubiquitous use
of mobile devices and applications, and the increasing exploitation of large-scale data analytics. Using the
traditional model of acquiring, deploying, and allocating units of storage, enterprises struggle to respond
Optimizing Cloud Storage
Management Services
Gabriel Alatorre
IBM Research Almaden, USA
Sandeep Gopisetty
IBM Research Almaden, USA
Divyesh Jadav
IBM Research - Almaden, USA
Bryan Langston
IBM Research Almaden, USA
Nagapramod Mandagere
IBM Research Almaden, USA
Ramani Routray
IBM Research Almaden, USA
Heiko Ludwig
IBM Research Almaden, USA