The speed of decision-making at the grid edge has become critical for maintaining stability, preventing cascading failures, ...

As fast as modern electronics have become, they could be much faster if their operations were based on light, rather than ...

Abstract: Distributed Map Reduce computing frameworks, such as Hadoop, Spark, and Flink, are widely used in various domains which face big data challenges. Inside Map Reduce, Shuffle is a critical ...

Abstract: Data-parallel applications, especially those associated with user-facing web services, have struggled to enhance their worst case performance. It is therefore important to improve the ...