Abstract: Existing load-balancing methods used in data center networks involve some shortcomings such as excessively large decision delays during reactions to microbursts and large overheads involved ...

For example, locked markets seem to indicate that arbitrage profits are available. However, academics who accounted for how long it would take even the fastest traders to route orders to capture the ...

Data centers are on track to become one of the defining energy stories of the next decade, with global facilities projected to require roughly three times as much electricity by 2035 as they do today.

Artificial intelligence has developed rapidly in recent years, with tech companies investing billions of dollars in data centers to help train and run AI models. The expansion of data centers has ...

A PNW data center just bagged its first battery energy storage system (BESS). Why opt for storage? They were tired of waiting in line. Calibrant Energy and Aligned Data Centers announced the ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

So, you’re looking to get better at those tricky LeetCode problems, especially the ones with stacks and queues? Good call! These data structures pop up all the time in coding interviews. It can feel a ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...