Configurable software systems can be tuned for better performance. Leveraging on some
Pareto optimizers, recent work has shifted from tuning for a single, time-related performance …

In this paper we design and implement a middleware service for dynamically allocating
computing resources for Apache Spark applications on cloud platforms, and consider two …

This essay explores the challenges and solutions in automatic machine learning (ML)-based
configuration tuning of Big Data processing frameworks. The use of Big Data processing …

Abstract (EN) In light of widespread digitization endeavors and ever-growing textual data
generation, developing efficient academic Natural Language Processing (NLP) …

Nowadays, there is an everincreasing number of data that characterizes our era, since they
are easy and cheap to collect from various devices connected to the Internet. Manipulating …

Software service providers are increasingly adopting cloud-based solutions to maximize
resource utilization while minimizing operating cost. While performance predictability is …