Please join us Thursday (19/5) at 3:15pm BST for Peter Boncz, Vrije Universiteit Amsterdam, talk "FSST: fast random-access string compression" https://t.co/r9rOZZdxRT
By LSDSImperial, 1 day 5 hours ago
Please join us Thursday (19/5) at 2pm BST for Heming Cui, University of Hong Kong, talk "Building Four-dimensional Parallel Training Systems for Large AI Models" https://t.co/321J27Pk07
By LSDSImperial, 1 day 5 hours ago
Please join us Thursday (12/5) at 2pm BST for Luis Rodrigues, Universidade de Lisboa, talk "Kauri: BFT Consensus with Pipelined Tree-Based Dissemination and Aggregation" https://t.co/eBgnOWpxS8
By LSDSImperial, 1 week 2 days ago
Please join us Thursday (28/4) at 2pm GMT for Jiwon Seo, Hanyang University, talk "Out-Of-Order BackProp: An Effective Scheduling Technique for Deep Learning" https://t.co/CY4RPNEpQ8
By LSDSImperial, 3 weeks 1 day ago
RT @ppietzuch: Excited about OS kernels, hypervisors and low-level systems programming? Do you want to figure out how to make future cloud computing stacks more secure? At @LSDSImperial, we have fully-funded #PhD Studentships for international students. Apply here: https://t.co/zNZivRGn8X
By LSDSImperial, 1 month 2 weeks ago
Please join us Thursday (31/3) at 2pm GMT for Natacha Crooks, UC Berkeley, talk "Basil: Breaking up BFT with ACID transactions" https://t.co/K8Y2mlM51C
By LSDSImperial, 1 month 2 weeks ago
RT @ppietzuch: Great news that our paper on CAP-VMs was accepted to #OSDI2022. We show how memory capabilities can isolate cloud applicatioâ¦
By LSDSImperial, 1 month 4 weeks ago
Please join us Thursday (17/3) at 2pm GMT for Alexey Gotsman, IMDEA, online talk "Making Byzantine Consensus Live" https://t.co/1HRZgNzYga
Please join us Thursday (3/3) at 2pm GMT for Wolfgang Lehner, Technische Universität Dresden, online talk "ScaleUp, ScaleOut, â¦: 'ScaleFlex' for the Next-Generation Database engines?" https://t.co/HUEMg3xoec
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.
Scabbard: Single Node Fault-Tolerant Stream Processing
G. Theodorakis; F. Kounelis; P. Pietzuch; and H. Pirk
In VLDB'22
CAP-VMs: Capability-Based Isolation and Sharing for Microservices
V.A. Sartakov; L. Vilanova; D. Eyers; T. Shinagawa; and P. Pietzuch
In USENIX OSDI'22
Slashing the Disaggregation Tax in Heterogeneous Data Centers with FractOS
L. Vilanova; L. Maudlej; S. Bergman; T. Miemietz; M. Hille; N. Asmussen; M. Roitzsch; H. Härtig; and M. Silberstein
In
IA-CCF: Individual Accountability for Permissioned Ledgers
A. Shamis; P. Pietzuch; B. Canakci; M. Castro; C. Fournet; E. Ashton; A. Chamayou; S. Clebsch; A. Delignat-Lavaud; M. Kerner; J. Maffre; O. Vrousgou; C.M. Wintersteiger; M. Costa; and M. Russinovich
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.
