The figures of the economic impact of cloud outages is probably underestimated, the researchers said. A total of 568 hours of downtime at 13 well-known cloud services since 2007 had an economic impact of more than US$71.7 million dollars, said the International Working Group on Cloud Computing Resiliency (IWGCR) on Monday.The average unavailability of cloud services is 7.5 hours per year, amounting to an availability rate of 99.9 percent, according to the group’s preliminary results. “It is extremely far from the expected reliability of mission critical system (99.999%). As a comparison, the service average unavailability for electricity in a modern capital is less than 15 minutes per year,” the researchers noted in their paper.It is the first time that the group, formed in March 2012 by Telecom ParisTech and Paris 13 University, published what it calls the Availability Ranking of World Cloud Computing (ARWC). As cloud services appeal more and more to government agencies and global businesses, it becomes more important that the provided services are reliable, especially when the systems are mission critical, the researchers said. The lack of cloud reliability is not commonly known by the industry, they added. SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe Their research is based on press reports of cloud outages at services like Twitter, Facebook, Amazon, Microsoft, Google, Yahoo and Paypal, among others. The costs for an hour-long outage can vary from $89,000 at a travel service provider such as Amadeus, to $225 an hour for a service like Paypal, according to the research paper. The figures are based on hourly costs accepted by the industry, the researchers said. Outages at companies like Google, Microsoft and Amazon amount to an estimated $200 an hour, according to the group.Besides the economic impact, the downtime that sometimes can last for days or even a week can affect millions of users. While the researchers noted that their methodology is imperfect because their information-gathering process was far from exhaustive, they said that the preliminary figures are most likely underestimated. Many outages are not published in the press, leaving a lot of room for missed outages, they said. There are other caveats in the methodology used, including not having the precise value of the economic cost for each failure or an average hourly cost for each cloud service provider, the researchers said. Besides that, the group noted that its data was not based on the number of users a service has, which would be preferable. To assess cloud availability better, the group announced plans to adopt new methods for future research.Loek covers all things tech for the IDG News Service. Follow him on Twitter at @loekessers or email tips and comments to loek_essers@idg.com Related content feature 4 reasons why gen AI projects fail Data issues are still among the chief reasons why AI projects fall short of expectations, but the advent of generative AI has added a few new twists. By Maria Korolov Oct 04, 2023 9 mins Data Science Machine Learning Artificial Intelligence feature What a quarter century of digital transformation at PayPal looks like Currently processing a volume of payments worth over $1.3 trillion, PayPal has repeatedly staked its claim as a digital success story over the last 25 years. But insiders agree this growth needs to be constantly supported by reliable technological ar By Nuria Cordon Oct 04, 2023 7 mins Payment Systems Digital Transformation Innovation news analysis Skilled IT pay defined by volatility, security, and AI Foote Partners’ Q3 report on IT skills pay trends show AI and security skills were in high demand, and the value of cash-pay premiums was more volatile but their average value across a broad range of IT skills and certifications was slightly do By Peter Sayer Oct 04, 2023 6 mins Certifications Technology Industry IT Skills brandpost Future-Proofing Your Business with Hyperautomation By Veronica Lew Oct 03, 2023 7 mins Robotic Process Automation Podcasts Videos Resources Events SUBSCRIBE TO OUR NEWSLETTER From our editors straight to your inbox Get started by entering your email address below. Please enter a valid email address Subscribe