Predictions for cloud storage in 2010: Parascale
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Predictions for cloud storage in 2010: Parascale

By SiliconIndia   |   Tuesday, 29 December 2009, 06:39 Hrs
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California: Parascale, which specializes in cloud storage software that allows enterprises and service providers to easily deploy storage cloud service offerings, has unveiled a report full of predictions for cloud storage in 2010, reports TMCnet.

According to Sajai Krishnan, CEO of ParaScale, 2010 promises to bring more advances in cloud computing and storage than it did in 2009, when users were presented with a lot of choice. In 2009, two primary trends were evident: The arrival of private cloud storage options with clear acceptance and indications from businesses to deploy their own storage clouds inside the firewall and a rapid proliferation of public cloud storage service options with many service providers coming to market with varied offerings.

"Cloud becomes an action verb. We've already seen 'Cloud' taken to new heights as an overused adjective and noun," Krishnan told TMCnet. In 2010, marketers will out-do themselves by clouding the landscape with more product names and descriptions.

Regarding virtualization, Krishnan said that this technology will drive private cloud storage adoption in enterprises. The weak link is the storage infrastructure behind virtualized servers. The need to eliminate the SAN bottleneck and automate provisioning, configuration, management and recovery across the compute and storage tier will drive enterprises to begin to adopt private cloud storage.

Additionally, in 2010 the theme of 'intelligence migrating into software' will continue with more hardware commoditization. The strategic importance of a low-cost, self-managing petabyte scale tier that provides a platform for analysis and integrated applications is emerging in organizations with large stores of file data.

"This middle tier will be the 'data net' - a catch-all persistent repository that can hold multiple kinds of data; optimize for performance and cost; support large scale data-in-place analysis, while eliminating unnecessary data migration and administrative tasks; and enable 'cloud bursting,' the seamless ability for service providers to offer spillover capacity and compute to enterprises," said Krishnan.

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