We present Laplace, a microarchitecture for tracking machine representations of probability
distributions paired with architectural state. We present two new methods for in-processor …

Abstract The Internet of Things (IoT) detects context through sensors capturing data from
dynamic physical environments, in order to inform automation decisions within cyber …

In many data-intensive applications, workflow is often used as an important model for
organizing data processing tasks and resource provisioning is an important and challenging …

This article presents Laplace, a microarchitecture for tracking machine representations of
probability distributions paired with architectural state. Laplace uses in-processor …

Many application domains including graph analytics, the Internet-of-Things, precision
agriculture, and media processing operate on noisy data and/or produce approximate …

The massive growth of data now being made available from a variety of sources leads to an
increased demand for fast data processing to extract value from the data. In data streams …

In approximate processing on stream data, most works focus on how to approximate online
arrival data. However, the efficiency of approximation needs to consider multiple aspects …

Event logs have become a valuable information source for business process management,
eg, when analysts discover process models to inspect the process behavior and to infer …

Workflow is an important model for big data processing and resource provisioning is crucial
to the performance of workflows. Recently, system variations in the cloud and large-scale …

Social networking websites have established as the most influential component on the web.
Nowadays, it is the most popular medium to exchange information such as, photos, videos …