In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …

Distributed computing paradigms such as cloud, mobile, Internet of Things, and Fog have
enabled new modalities for building enterprise architectures through service composition …

Microservice has been increasingly recognized as a promising architectural style for
constructing large-scale cloud-based applications within and across organizational …

Prediction of host load in Cloud systems is critical for achieving service-level agreements.
However, accurate prediction of host load in Clouds is extremely challenging because it …

The efficient mapping of program parallelism to multi-core processors is highly dependent
on the underlying architecture. This paper proposes a portable and automatic compiler …

A new era of Cloud Computing has emerged, but the characteristics of Cloud load in data
centers is not perfectly clear. Yet this characterization is critical for the design of novel Cloud …

Many parallel applications suffer from latent performance limitations that may prevent them
from scaling to larger machine sizes. Often, such scalability bugs manifest themselves only …

Performance modeling is an important and active area of research in high-performance
computing (HPC). It helps in better job scheduling and also improves overall performance of …

For designers of large-scale parallel computers, it is greatly desired that performance of
parallel applications can be predicted at the design phase. However, this is difficult because …

It is often assumed that to maximize the performance of a multithreaded application, the
number of threads created should equal the number of cores. While this may be true for …