Publications

We present streaming CP update, an algorithmic framework for updating CP tensor decompositions that possesses the capability of identifying emerging…

Multiresolution priority queues are data structures recently discovered by Reservoir Labs that reduce the entropy of some critical graph algorithms—such…

As the scale of unlabeled data rises, it becomes increasingly valuable to perform scalable, unsupervised data analysis. Tensor decompositions, which…

In this paper we introduce a new framework to detect elephant flows at very high speed rates and under uncertainty.…

Heavy-hitter flows or Cheetah Flows (CF), which are high-rate flows can result in increased packet losses and delay in general…

As the sheer amount of computer generated data continues to grow exponentially, new bottlenecks are unveiled that require rethinking our…

Cheetah flows, which are high-rate flows, can cause increased packet delays and losses in other flows. Leveraging the flexibility offered…

For balancing load, a forwarder can selectively direct data from the forwarder to a processor according to a loading parameter.…

The increasing size, variety, rate of growth and change, and complexity of network data has warranted advanced network analysis and…