August 01, 2012
ROLLING MEADOWS, Ill., Aug. 1 — Cloud computing promises low cost of entry and fast return on investment, but that ROI can fall short of expectations if hidden costs are left out of the equation. A new white paper from global IT association ISACA, "Calculating Cloud ROI: From the Customer Perspective," shows the true costs of cloud migration and offers a practical framework for calculating ROI.
The free paper outlines five hidden costs that enterprises may not anticipate when moving to cloud-based services:
"Cloud computing makes it easy to offer the same self-service that people love when they turn on their lights or air-conditioning – it's on-demand and pay as you go," says Marc Vael, CISA, CISM, CGEIT, CRISC, international vice president of ISACA. "In reality, cloud computing is like every other innovation. Security, cost and complexity don't disappear – they just need to be managed and accounted for."
Enterprises are achieving benefits by shifting cost from capital to operational, becoming more agile, and redeploying IT resources. This guidance from ISACA details a 12-step process that looks at the complexity of cloud computing options and the importance of making informed decisions about long-term costs and payback.
An example of positive ROI as a result of cloud migration is CA Technologies, which uses a private cloud to enable resource pooling and on-demand and scheduled resource acquisition, and to support data center consolidation and standardization.
"Early in our deployment we consolidated 44 locations and drove millions in real estate savings and in productivity gains, as well as a 25% reduction in budget," said George Watt, vice president of strategy, CA Technologies, who led the cloud deployment. "Yet, our newfound agility was the unsung hero. One of the most important steps in calculating ROI is ensuring second-order costs are considered so there is a legitimate understanding of the complete cost."
To effectively calculate ROI for cloud initiatives, the "Calculating Cloud ROI" white paper offers practical tips:
"Calculating Cloud ROI: From the Customer Perspective" is available as a complimentary download at www.isaca.org/cloud-ROI.
About ISACA's Cloud Computing Initiative
ISACA has been a pioneer in cloud governance, risk and compliance. A member of the Cloud Security Alliance, the association has published IT Control Objectives for Cloud Computing, a cloud computing audit program and white papers; offers a Cloud Computing Knowledge Center community; and leads cloud-related education sessions worldwide. Its flagship COBIT 5 framework helps enterprises worldwide with effective governance of cloud initiatives.
With 100,000 constituents in 180 countries, ISACA (www.isaca.org) helps enterprises worldwide ensure trust in, and value from, information systems. Founded in 1969, ISACA attests IT skills and knowledge through the CISA, CISM, CGEIT and CRISC certifications. ISACA continually updates COBIT, which helps IT professionals and enterprise leaders fulfill their IT governance and management responsibilities.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
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