157 citations · 194 across the 12 of their papers we have counts for
13 papers
Log Parsing Evaluation in the Era of Modern Software Systems
Stefan Petrescu, Floris den Hengst, Alexandru Uta +1
Due to the complexity and size of modern software systems, the amount of logs generated is tremendous. Hence, it is infeasible to manually investigate these data in a reasonable ti…
Future Computer Systems and Networking Research in the Netherlands: A Manifesto
Alexandru Iosup, Fernando Kuipers, Ana Lucia Varbanescu +6
Our modern society and competitive economy depend on a strong digital foundation and, in turn, on sustained research and innovation in computer systems and networks (CompSys). With…
Skyhook: Towards an Arrow-Native Storage System
Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez +3
With the ever-increasing dataset sizes, several file formats such as Parquet, ORC, and Avro have been developed to store data efficiently, save the network, and interconnect bandwi…
Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions
Yuxuan Zhao, Alexandru Uta
In serverless computing, applications are executed under lightweight virtualization and isolation environments, such as containers or micro virtual machines. Typically, their memor…
In-Memory Indexed Caching for Distributed Data Processing
Alexandru Uta, Bogdan Ghit, Ankur Dave +2
Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suite…
A Holistic Analysis of Datacenter Operations: Resource Usage, Energy, and Workload Characterization -- Extended Technical Report
Laurens Versluis, Mehmet Cetin, Caspar Greeven +5
Improving datacenter operations is vital for the digital society. We posit that doing so requires our community to shift, from operational aspects taken in isolation to holistic an…
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu +4
Distributed data processing ecosystems are widespread and their components are highly specialized, such that efficient interoperability is urgent. Recently, Apache Arrow was chosen…
Towards an Arrow-native Storage System
Jayjeet Chakraborty, Ivo Jimenez, Sebastiaan Alvarez Rodriguez +3
With the ever-increasing dataset sizes, several file formats like Parquet, ORC, and Avro have been developed to store data efficiently and to save network and interconnect bandwidt…
The Future is Big Graphs! A Community View on Graph Processing Systems
Sherif Sakr, Angela Bonifati, Hannes Voigt +38
Graphs are by nature unifying abstractions that can leverage interconnectedness to represent, explore, predict, and explain real- and digital-world phenomena. Although real users a…
The LDBC Graphalytics Benchmark
Alexandru Iosup, Ahmed Musaafir, Alexandru Uta +15
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 compa…
In Datacenter Performance, The Only Constant Is Change
Dmitry Duplyakin, Alexandru Uta, Aleksander Maricq +1
All computing infrastructure suffers from performance variability, be it bare-metal or virtualized. This phenomenon originates from many sources: some transient, such as noisy neig…
Is Big Data Performance Reproducible in Modern Cloud Networks?
Alexandru Uta, Alexandru Custura, Dmitry Duplyakin +5
Performance variability has been acknowledged as a problem for over a decade by cloud practitioners and performance engineers. Yet, our survey of top systems conferences reveals th…
Massivizing Computer Systems: a Vision to Understand, Design, and Engineer Computer Ecosystems through and beyond Modern Distributed Systems
Alexandru Iosup, Alexandru Uta, Laurens Versluis +6
Our society is digital: industry, science, governance, and individuals depend, often transparently, on the inter-operation of large numbers of distributed computer systems. Althoug…