EuroSys’16 Tutorial

A tutorial, Server Benchmarking with CloudSuite 3.0, will be presented on April 18th at EuroSys 2016.

• Where? In conjunction with EuroSys in London, UK.
• When? April 18th, 2016.
• Intended audience: Academic/industrial researchers interested in datacenter workloads and their performance evaluation via both existing state- of-the-art servers and cycle-accurate simulation.
• Team: Alexandros Daglis, Mario Paulo Drumond, Javier Picorel, Dmitrii Ustiugov, Babak Falsafi
• Keywords: Scale-out workloads, server benchmarking, rigorous measurement methodologies, performance evaluation.
• Registration: Please follow the registration link on the conference web page.
• Slides: Download

Tutorial In Brief

Since its inception, CloudSuite (cloudsuite.ch) has emerged as a popular suite of benchmarks both in industry and among academics for the performance evaluation of cloud services. The EuroCloud Server project blueprinted key optimizations in server SoCs based on the salient features of CloudSuite workloads that lead to an order of magnitude improvement in efficiency while preserving QoS. ARM-based server products (e.g., Cavium ThunderX) have now emerged following these guidelines and showcasing the improved efficiency.

CloudSuite 3.0 is a major enhancement over prior releases both in workloads and infrastructure. It includes benchmarks that represent massive data manipulation with tight latency constraints such as in-memory data analytics using Apache Spark, a new real-time video streaming benchmark following today’s most popular video-sharing website setups, and a new web serving benchmark mirroring today’s multi-tier web server software stacks with a caching layer.

To ease the deployment of CloudSuite into private and public cloud systems, the benchmarks are integrated into the Docker container system and Google’s PerfKit Benchmarker. PerfKit helps at automate the process of benchmarking with a performance comparison across existing cloud server systems. CloudSuite 3.0 will be released and supported to run both on real hardware and a QEMU- based emulation platform.

Organizers

• Alexandros Daglis is a fourth year PhD student that works at EPFL under the supervision of Babak Falsafi. His research interests include rack-scale computing and datacenter architectures. His current focus is on system design for high performance remote memory access.
• Javier Picorel is a fifth year PhD student working at EPFL under the supervision of Babak Falsafi. His research interests are in computer architecture, especially architectures and system support for processing-in-memory systems.
• Mario Paulo Drumond is a second year PhD student that works at EPFL under the supervision of Babak Falsafi. His research interests include reconfigurable computing and computer architecture. His current focus is on using FPGAs to accelerate machine learning algorithms.
• Dmitrii Ustiugov is a second year PhD student working at EPFL under the supervision of Babak Falsafi and Edouard Bugnion. His research interests include rack-scale computing and datacenter architectures. His current focus is on architectural support for combining high performance and strong consistency for rack-scale systems.

Agenda