Please join us Thursday (25/11) at 2pm GMT for Dr Shruti Tople, Microsoft Research Cambridge, online talk "Causal vs Associational Machine Learning: From A Privacy Perspective" Perspective" https://t.co/V7KUqOH7zt

By LSDSImperial, 1 week 15 hours ago
  • RT @ppietzuch: We have multiple faculty positions in computer science at @ICComputing @imperialcollege. Consider applying: we get excellent…

    By LSDSImperial, 1 week 3 days ago
  • Please join us Thursday (18/11) at 2pm GMT for Dr Malte Schwarzkopf, Brown University, online talk "Privacy Compliance By Construction for Database-backed Web Applications" https://t.co/V7KUqOH7zt

    By LSDSImperial, 2 weeks 1 day ago
  • Please join us Thursday (4/11) at 2pm BST for Dr Noa Zilberman, University of Oxford, online talk "The Long Road to In-Network Computing" https://t.co/dkh6PUBUjB

    By LSDSImperial, 1 month 18 hours ago
  • Please join us Thursday (28/10) at 2pm BST for Gabor Etele Gevay, TU Berlin, online talk "Nested Parallelism and Control Flow in Big Data Analytics Systems" https://t.co/0ISNItXKJK

    By LSDSImperial, 1 month 1 week ago
  • Please join us Thursday (21/10) at 2pm BST for Dr XingDa Wei, Shanghai Jiao Tong University, online talk "Building high-performance systems with RDMA" https://t.co/arLfpJ92lP

    By LSDSImperial, 1 month 2 weeks ago
  • Please join us Thursday (7/10) at 2pm BST for Dr Takahiro Shinagawa, University of Tokyo, online talk "Protection and Management with Deep System Software" https://t.co/NJDJxZFnpP

    By LSDSImperial, 1 month 4 weeks ago
  • Please join us Thursday (30/9) at 2pm BST for Fritz Alder, KU Leuven, online talk "Aion: Enabling Open Systems through Strong Availability Guarantees for Enclaves" https://t.co/bP00FoAyhb

    By LSDSImperial, 2 months 5 days ago
  • Please join us Thursday (23/9) at 2pm BST for Dr Tim Harris, Microsoft, online talk "Hey, you got your distributed algorithm in my ML!" https://t.co/Oeyn9wzcUh

    By LSDSImperial, 2 months 1 week ago
  • Please join us Thursday (26/8) at 2pm BST for Dr Yang Zhang, CISPA Helmholtz Center for Information Security, online talk "CISPA Helmholtz Center for Information Security" https://t.co/eLqra16Qe0

    By LSDSImperial, 3 months 1 week ago

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
Crossbow
Crossbow
Scalable Multi-GPU Deep Learning
Faasm
Faasm
Serverless Big Data Runtime
KungFu
KungFu
Adaptive Distributed Machine Learning
LightSaber
LightSaber
Multi-core Window-Based Stream Processing
MDF
MDF
Meta-Dataflows
Medea
Medea
Heterogenous Application Scheduling
SABER
SABER
Hybrid Stream Processing
SEEP
SEEP
Stateful Big Data Processing
SERECA
SERECA
Hardware-Assisted Cloud Security
SGX-LKL
SGX-LKL
Linux Binaries in SGX Enclaves
Teechain
Teechain
A Secure Blockchain Payment Network

Recent Publications

Scabbard: Single Node Fault-Tolerant Stream Processing
G. Theodorakis; F. Kounelis; P. Pietzuch; and H. Pirk

In VLDB'22

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

In VEE'21

Upcoming Events

To be announced
Natacha Crooks
UC Berkeley
Thursday, 31 March 2022 - 2:00pm, Imperial College London
Building Advanced SQL Analytics From Low-Level Plan Operators
André Kohn
Technische Universität München
Thursday, 10 March 2022 - 2:00pm, Online
Analytical queries virtually always involve aggregation and statistics. SQL offers a wide range of functionalities to summarize data such as associative aggregates, distinct aggregates, ordered-set...

The LSDS Group

Peter Pietzuch
Peter Pietzuch
Professor
Holger Pirk
Holger Pirk
Assistant Professor (Lecturer)
Lluís Vilanova
Lluís Vilanova
Assistant Professor (Lecturer)
Daphne Tuncer
Daphne Tuncer
Research Fellow
Andrea Piermarteri
Andrea Piermarteri
Post-doctoral Researcher
Vasily A. Sartakov
Vasily A. Sartakov
Post-doctoral Researcher
Bo Zhao
Bo Zhao
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
Alessandro Fogli
Alessandro Fogli
PhD Student
Pedro Silvestre
Pedro Silvestre
PhD Student
Marcel Wagenlander
Marcel Wagenlander
PhD Student
Hubert Mohr-Daurat
Hubert Mohr-Daurat
PhD Student
Takahiro Shinagawa
Takahiro Shinagawa
Visitor

Open Positions

Post-Doctoral Researcher
In Distributed Systems, Systems, Databases
 

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

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.

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.

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.

Interested in joining LSDS? How to apply