Workload Optimization for Healthcare Systems

Healthcare is ideal for workload-optimized systems, because they can help provide faster access to personalized medicine-resulting in improved patient care. In 2012, vendors will continue to develop cloud databases and supercomputers-such as IBM Watson-to store and process large volumes of "big data" collected via EHR and genomic data stores. Healthcare providers must also grapple with storing vast amounts of images and data for years, and workload optimization paradigms can help deliver solutions to meet these challenges.