Please join us Thursday (22/4) at 2pm BST for Dr Jens Teubner, TU Dortmund University, online talk "Minimize the Gap: How to Avoid Overhead in Database Processing through Co-Design" https://t.co/K2MbmfLRc7

By LSDSImperial, 1 day 19 min ago

  • Please join us Thursday (15/4) at 2pm BST for Dr Lorenzo Cavallaro, King's College London, online talk "Robust Machine Learning... for Systems Security" https://t.co/bQ0ZSaur8C

    By LSDSImperial, 1 week 2 days ago

  • Please join us Thursday (25/3) at 2pm UTC for Dr Antonio Barbalace, University of Edinburgh, online talk "Don't Settle for Less, Fully Exploit Emerging Hardware with New System Software" https://t.co/MS3GpdF2Xi

    By LSDSImperial, 1 month 1 hour ago

  • Please join us Thursday (4/3) at 2pm UTC for Dr Mark Silberstein, Technion - Israel Institute of Technology, online talk "OmniX - an OS architecture for omni-programmable systems" https://t.co/gRy0SPj4G9

    By LSDSImperial, 1 month 2 weeks ago

  • Please join us Thursday (18/2) at 2pm UTC for Dr Amit Chopra, Lancaster University, online talk "Mandrake: Building Fault-Tolerant Decentralized Applications" https://t.co/DqjaF0VYK1

    By LSDSImperial, 2 months 4 days ago

  • Please join us Thursday (11/2) at 2pm UTC for Dr Andrew Paverd, Microsoft, online talk "CACTI: CAPTCHA Avoidance via Client-side TEE Integration" https://t.co/I5F9ipki59

    By LSDSImperial, 2 months 1 week ago

  • Please join us Thursday (28/1) at 3pm UTC for Prof David A. Bader, New Jersey Institute of Technology, online talk "Solving Global Grand Challenges with High Performance Data Analytics" https://t.co/NB4GLL1wjP

    By LSDSImperial, 2 months 3 weeks ago

  • Please join us Thursday (21/1) at 2pm UTC for Dr Nathaniel Filardo, Microsoft Research Cambridge, online talk "CHERI: A Modern Capability Architecture" https://t.co/oDtHIxnFIE

    By LSDSImperial, 3 months 14 hours ago

  • Come and join @LSDSImperial as Faculty! We do exciting research across systems, data management, architecture, networking, compilers, machine learning and security. https://t.co/6SX0pVEQEo

    By LSDSImperial, 4 months 16 hours ago

  • Please join us Thursday (3/12) at 2pm UTC for Prof. Daniel Abadi, University of Maryland, online talk "SLOG: Serializable, Low-latency, Geo-replicated Transactions" https://t.co/QMMDl47lci

    By LSDSImperial, 4 months 2 weeks ago
More tweets

The goal of the LSDS group is to support the design and implementation of tomorrow's large-scale data-intensive systems. We investigate new abstractions and infrastructures for building scalable, robust and secure data-intensive applications.

Current Projects

  • View All
  • Big Data Processing
  • Serverless
  • Cloud Computing
  • Systems Security
  • Machine Learning
  • Networking
 CloudCAP
CloudCAP
Compartments and cloud-native applications
Cloud Computing
 Crossbow
Crossbow
Scalable Multi-GPU Deep Learning
Machine Learning
 Faasm
Faasm
Serverless Big Data Runtime
Big Data Processing, Serverless
 KungFu
KungFu
Adaptive Distributed Machine Learning
Machine Learning
 LightSaber
LightSaber
Multi-core Window-Based Stream Processing
Big Data Processing
 MDF
MDF
Meta-Dataflows
Big Data Processing
 Medea
Medea
Heterogenous Application Scheduling
Cloud Computing
 SABER
SABER
Hybrid Stream Processing
Big Data Processing, Machine Learning
 SEEP
SEEP
Stateful Big Data Processing
Big Data Processing
 SERECA
SERECA
Hardware-Assisted Cloud Security
Cloud Computing, Systems Security
 SGX-LKL
SGX-LKL
Linux Binaries in SGX Enclaves
Systems Security
 Teechain
Teechain
A Secure Blockchain Payment Network
Systems Security

Recent Publications

rkt-io: A Direct I/O Stack for Shielded Execution
J. Thalheim; H. Unnibhavi; C. Priebe; P. Bhatotia; and P. Pietzuch

In ACM EuroSys'21

CubicleOS: A Library OS with Software Componentisation for Practical Isolation
V.A. Sartakov; L. Vilanova; and P. Pietzuch

In ACM ASPLOS'21

Spons & Shields: Practical Isolation for Trusted Execution
V.A. Sartakov; D. O'Keeffe; D. Eyers; L. Vilanova; and P. Pietzuch

In VEE'21

KungFu: Making Training in Distributed Machine Learning Adaptive
L. Mai; G. Li; M. Wagenländer; K. Fertakis; A.O. Brabete; and P. Pietzuch

In USENIX OSDI'20

More Publications

Upcoming Events

Title to be confirmed
Xiangyao Yu
University of Wisconsin-Madison
Thursday, 3 June 2021 - 2:00pm, Online
Read More
Title to be confirmed
Peter Triantafillou
University of Warwick
Thursday, 27 May 2021 - 2:00pm, Online
Read More

The LSDS Group

 Peter Pietzuch
Peter Pietzuch
Professor
Holger Pirk
Holger Pirk
Lecturer (Assistant Professor)
Lluís Vilanova
Lluís Vilanova
Lecturer (Assistant Professor)
Daphne Tuncer
Daphne Tuncer
Imperial College Research Fellow
Shujie Cui
Shujie Cui
Post-doctoral Researcher
Luo Mai
Luo Mai
Post-doctoral Researcher
Vasily A. Sartakov
Vasily A. Sartakov
Post-doctoral Researcher
Huanzhou Zhu
Huanzhou Zhu
Post-doctoral Researcher
Guo Li
Guo Li
Research Assistant
Konstantinos Fertakis
Konstantinos Fertakis
PhD Student
Ahmad Khazale
Ahmad Khazale
PhD Student
Fotis Kounelis
Fotis Kounelis
PhD Student
Domagoj Margan
Domagoj Margan
PhD Student
Carlos Segarra
Carlos Segarra
PhD Student
Alex Shamis
Alex Shamis
PhD Student
Simon Shillaker
Simon Shillaker
PhD Student
Georgios Theodorakis
Georgios Theodorakis
PhD Student
Marcel Wagenlander
Marcel Wagenlander
Visitor

Open Positions

Post-Doctoral Researcher
In Systems Security
 

Join the EU-funded SecureCloud project and investigate how new hardware trust mechanisms can be used to improve the security of cloud computing applications.

Read More
Post-Doctoral Researcher
In Distributed Systems, Systems, Databases
 

Multiple post-doctoral positions available in the areas of distributed systems, databases, and networking.

Read More
PhD position
In Computer Systems for BigData and Data Science
 

Two PhD positions are available in the broad area of Computer Systems with focus on designing and building systems that support BigData and Data Science workloads on modern and future hardware platforms.

Read More
PhD position
In Big Data Management: Auto-tuning for modern hardware
 

PhD position in Big Data Management with focus on Auto-tuning for modern hardware under the supervision of Dr. Holger Pirk.

Read More
PhD position
In in Big Data Management: Data Compression
 

PhD position in Big Data Management with focus on Data Compression under the supervision of Dr. Holger Pirk.

Read More

Interested in joining LSDS? How to apply