The goal of the LSDS group is to support the design and implementation of tomorrow's large-scale distributed systems. We investigate new abstractions and infrastructures for building scalable, robust and secure data-intensive applications.
SquirrelJoin: Network-Aware Distributed Join Processing with Lazy Partitioning
L. Rupprecht; W. Culhane; and P. Pietzuch
In VLDB VLDB'17
Glamdring: Automatic Application Partitioning for Intel SGX
J. Lind; C. Priebe; D. Muthukumaran; D. O'Keeffe; P.L. Aublin; F. Kelbert; T. Reiher; D. Goltzsche; D. Eyers; R. Kapitza; C. Fetzer; and P. Pietzuch
In USENIX ATC'17
Emu: Rapid Prototyping of Networking Services
N. Sultana; S. Galea; D. Greaves; M. Wojcik; J. Shipton; R. Clegg; L. Mai; P. Bressana; R. Soule; R. Mortier; P. Costa; P. Pietzuch; J. Crowcroft; A.W. Moore; and N. Zilberman
In USENIX ATC'17
SwiftAnalytics: Optimizing Object Stores for Big Data Analytics
L. Rupprecht; R. Zhang; B. Owen; P. Pietzuch; and D. Hildebrand
Join the EU-funded SeReCa project and investigate how new hardware trust mechanisms can be used to improve the security of cloud computing applications.
