The product use data can have an important role in closed-loop product lifecycle
management (CL-PLM), where information feedbacks from the use data can contribute to …

The purpose of this chapter is to identify big data enablers in Service Operations
Management (SOM) and to analyze the interactions between them. First, we identify forty …

Obtaining the right set of data for evaluating the fulfillment of different quality standards in the
extract-transform-load (ETL) process design is rather challenging. First, the real data might …

Benchmarks that closely match the behavior of production workloads are crucial to design
and provision computer systems. However, current approaches fall short: First, open-source …

Clustering has important applications in many fields. However, there are not enough
benchmark datasets with rich characteristics for the development and evaluation of …

Finding performance bottlenecks through bench-marking is one of the driving forces to
improve the resource provision efficiency of cloud computing. Although existing benchmarks …

Distributed dataflow systems such as Apache Spark allow the execution of iterative
programs at large scale on clusters. In production use, programs are often recurring and …

In this document, we describe LDBC Graphalytics, an industrial-grade benchmark for graph
analysis platforms. The main goal of Graphalytics is to enable the fair and objective …

“It's after 2001. Where is HAL?” This question was asked 2007 by cognitive science pioneer
Marvin Minsky in a talk about the state of artificial intelligence (AI). He was referring to the …

The sheer increase in the volume of data over the last decade has triggered research in
cluster computing frameworks that enable web enterprises to extract big insights from big …