TCloud compute and chill
What do recommendation engines for Amazon and Netflix have to do with better cloud computing? Thanks to a groundbreaking system from Stanford University, one is inspiring the other.
When faced with their usual workloads, most servers are using around 20 percent of their capacity. One reason why is because cloud service users tend to over-estimate the amount of compute they’ll need.
Systems also experience slowdown as the workloads are passed between newer and older physical processing cores or hardware. Applications change, and a code rewrite might impose a bigger load on the server. Other applications that share the workspace might interfere with performance.
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