In recent years, there has been a convergence of Big Data (BD), High Performance
Computing (HPC), and Machine Learning (ML) systems. This convergence is due to the …

Abstract Semantic Overlap Summarization (SOS) is a novel and relatively under-explored
seq-to-seq task which entails summarizing common information from multiple alternate …

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 …

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 …

Bilişim teknolojilerinin gelişmesiyle, veri üretim teknikleri ve toplanan veri hacmi artmıştır.
Akıllı şehir uygulamaları ile sensörler, IoT, internet, giyilebilir teknolojiler gibi farklı veri …

With the unpredictable development of technology, a wide variety of data is produced in a
very short time from countless sources. Industry 4.0 is a revolution in new technology for the …

The increasing demand for big data processing leads to commercial off-the-shelf (COTS)
and cloud-based big data analytics services. Giant cloud service vendors provide …

The paradigm of big data is characterized by the need to collect and process data sets of
great volume, arriving at the systems with great velocity, in a variety of formats. Spark is a …

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 …

With the rapid growth of big data, cloud computing has emerged as an attractive solution for
storing and processing large datasets. However, benchmarking and optimising the …