Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Raphael Behrendt

dblp:271/9180 · DBLP profile ↗
← Back
3ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0000-3954-8071ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 1Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Storage systems · 79% Cloud and datacenter computing · 21%
Computer networks
1 paper
Datacenter networks · 87% Optical networks · 13%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems
archival storage
1.522025
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · ACM Trans. Storage 2025
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · SOSP 2023
Cloud and datacenter computing
cloud storage
0.922025
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · SOSP 2023
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · ACM Trans. Storage 2025
Storage systems
digital preservation
0.912025
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · ACM Trans. Storage 2025
Storage systems
storage reliability
0.912025
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · ACM Trans. Storage 2025
Datacenter networks
data center network topology
0.412020
Sirius: A Flat Datacenter Network with Nanosecond Optical Switching · SIGCOMM 2020
Datacenter networks
optical datacenter network
0.412020
Sirius: A Flat Datacenter Network with Nanosecond Optical Switching · SIGCOMM 2020
Storage systems › storage devices
storage media
0.212023
Project Silica: Towards Sustainable Cloud Archival Storage in Glass · SOSP 2023
Optical networks › photonic devices
tunable lasers
0.112020
Sirius: A Flat Datacenter Network with Nanosecond Optical Switching · SIGCOMM 2020

Methods — techniques the papers use, named apart from their topics

workload analysis · 1.5hardware-software co-design · 0.9co-design · 0.7simulation · 0.4prototype · 0.4
YearPublicationVenuePosition
2025 Project Silica: Towards Sustainable Cloud Archival Storage in Glass
abstract
Sustainable and cost-effective long-term storage remains an unsolved problem. The most widely used storage technologies today are magnetic (hard disk drives and tape). They use media that degrades over time and has a limited lifetime, which leads to inefficient, wasteful, and costly solutions for long-lived data. This article presents Silica: the first cloud storage system for archival data underpinned by quartz glass, an extremely resilient media that allows data to be left in situ indefinitely. The hardware and software of Silica have been co-designed and co-optimized from the media up to the service level with sustainability as a primary objective. The design follows a cloud-first, data-driven methodology underpinned by principles derived from analyzing the archival workload of a large public cloud service. Silica can support a wide range of archival storage workloads and ushers in a new era of sustainable, cost-effective storage.
Patrick Anderson 0001, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Thales De Carvalho, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara Alabazares, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Ioan A. Stefanovici, David Sweeney, Benn C. Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Stefan Winzeck
ACM Trans. Storage4
2023 Project Silica: Towards Sustainable Cloud Archival Storage in Glass
abstract
Sustainable and cost-effective long-term storage remains an unsolved problem. The most widely used storage technologies today are magnetic (hard disk drives and tape). They use media that degrades over time and has a limited lifetime, which leads to inefficient, wasteful, and costly solutions for long-lived data. This paper presents Silica: the first cloud storage system for archival data underpinned by quartz glass, an extremely resilient media that allows data to be left in situ indefinitely. The hardware and software of Silica have been co-designed and co-optimized from the media up to the service level with sustainability as a primary objective. The design follows a cloud-first, data-driven methodology underpinned by principles derived from analyzing the archival workload of a large public cloud service. Silica can support a wide range of archival storage workloads and ushers in a new era of sustainable, cost-effective storage.
Patrick Anderson 0001, Erika Blancada Aranas, Youssef Assaf, Raphael Behrendt, Richard Black, Marco Caballero, Pashmina Cameron, Burcu Canakci, Thales De Carvalho, Andromachi Chatzieleftheriou, Rebekah Storan Clarke, James Clegg, Daniel Cletheroe, Bridgette Cooper, Tim Deegan, Austin Donnelly, Rokas Drevinskas, Alexander L. Gaunt, Christos Gkantsidis, Ariel Gomez Diaz, István Haller, Freddie Hong, Teodora Ilieva, Shashidhar Joshi, Russell Joyce, Mint Kunkel, David Lara Alabazares, Sergey Legtchenko, Fanglin Linda Liu, Bruno Magalhães, Alana Marzoev, Marvin McNett, Jayashree Mohan, Michael Myrah, Sebastian Nowozin, Aaron Ogus, Hiske Overweg, Antony I. T. Rowstron, Maneesh Sah, Masaaki Sakakura, Peter Scholtz, Nina Schreiner, Omer Sella, Ioan A. Stefanovici, David Sweeney, Benn C. Thomsen, Govert Verkes, Phil Wainman, Jonathan Westcott, Luke Weston, Charles Whittaker, Pablo Wilke Berenguer, Hugh Williams, Stefan Winzeck
SOSP4
2020 Sirius: A Flat Datacenter Network with Nanosecond Optical Switching
abstract
The increasing gap between the growth of datacenter traffic and electrical switch capacity is expected to worsen due to the slowdown of Moore's law, motivating the need for a new switching technology for the post-Moore's law era that can meet the increasingly stringent requirements of hardware-driven cloud workloads. We propose Sirius, an optically-switched network for datacenters providing the abstraction of a single, high-radix switch that can connect thousands of nodes---racks or servers---in a datacenter while achieving nanosecond-granularity reconfiguration. At its core, Sirius uses a combination of tunable lasers and simple, passive gratings that route light based on its wavelength. Sirius' switching technology and topology is tightly codesigned with its routing and scheduling and with novel congestion-control and time-synchronization mechanisms to achieve a scalable yet flat network that can offer high bandwidth and very low end-to-end latency. Through a small-scale prototype using a custom tunable laser chip that can tune in less than 912 ps, we demonstrate 3.84 ns end-to-end reconfiguration atop 50 Gbps channels. Through large-scale simulations, we show that Sirius can approximate the performance of an ideal, electrically-switched non-blocking network with up to 74-77% lower power.
Hitesh Ballani, Paolo Costa, Raphael Behrendt, Daniel Cletheroe, István Haller, Krzysztof Jozwik, Fotini Karinou, Sophie Lange, Kai Shi 0003, Benn C. Thomsen, Hugh Williams
SIGCOMM3