As someone who has spent the better part of two decades optimizing distributed systems—from early MapReduce clusters to ...

Existing distributed computing frameworks are failing to keep a lid on the growing computational, memory and even energy costs resulting from the constantly expanding volume Big Data for anything ...

In the quest to better understand quantum capacity, leaders in the industry could consider the potential for efficient modularity.

Is distributed computing dying, or just fading into the background? There seems to be much less excitement about distributed computing these days.

The course enables students to learn about the principles and gain hands-on experience in working with the state of the art computing technologies such as Apache Spark, a general engine for ...

She also progressed by taking ownership of distributed system architecture and feature delivery under high-impact conditions. Plus, she collaborated cross-functionally with data security, product ...

Advanced sensor technologies, growth in the amount and availability of sensor data, new computational methods, and greater computational power offer fresh approaches to understand and address the ...

Artificial intelligence encompasses the study of algorithms and architectures that enable effective decision making in complex environments. Researchers in this area include faculty, undergraduate and ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen.

A group of companies has joined together to try to make it easier to take advantage of the increasingly popular method for harnessing otherwise wasted computing power.

You need architecture, data models, a flexible topology, and communication strategies to handle distributed rather than centralized computing.