IBM Predicts Cloud Computing Demand for Sports Tournaments

Executive Summary
The rapid growth of the Internet and of mobile and other smart technologies has generated increased demand
on digital platforms, which are supported by enterprise cloud-computing capabilities. To support IBM’s lead-
ership in analytics, mobile, and cloud technologies, a small team within IBM Global Technology Services (GTS)
developed a system that uses advanced analytics to address the dynamic and unpredictable Web traffic pat-
terns produced by a digital-enterprise workload, while driving greater operational efficiencies in computing
and labor resources. Current cloud platforms are reactive; that is, they require human intervention to scale com-
puting resources to meet demand. To address this shortcoming, the GTS team developed the Predictive Cloud
Computing (PCC) system. PCC uses multiple advanced analytical techniques, such as novel numerical analysis
techniques, discrete-event simulation, and advanced forecasting to produce models that forecast Internet traffic
demands in near real time, allocating computing resources as needed. In 2014, GTS applied the PCC system
across tennis and golf sporting tournaments reducing our cloud-computing hours by about 50 percent, while
driving a reduction in labor through automation. The PCC system continues to expand IBM’s technology base;
since its inception, it has resulted in 16 patent filings, strengthening IBM’s analytics patent portfolio and overall

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