P
Peter Pietzuch
Researcher at Imperial College London
Publications - 166
Citations - 7502
Peter Pietzuch is an academic researcher from Imperial College London. The author has contributed to research in topics: Cloud computing & Middleware (distributed applications). The author has an hindex of 40, co-authored 156 publications receiving 6614 citations. Previous affiliations of Peter Pietzuch include Royal Institute of Technology & Harvard University.
Papers
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Proceedings ArticleDOI
SCONE: secure Linux containers with Intel SGX
Sergei Arnautov,Bohdan Trach,Franz Gregor,Thomas Knauth,Andre Martin,Christian Priebe,Joshua Lind,Divya Muthukumaran,Dan O'Keeffe,Mark Stillwell,David Goltzsche,David Eyers,Rüdiger Kapitza,Peter Pietzuch,Christof Fetzer +14 more
TL;DR: SCONE is a secure container mechanism for Docker that uses the SGX trusted execution support of Intel CPUs to protect container processes from outside attacks and offers a secure C standard library interface that transparently encrypts/decrypts I/O data.
Proceedings ArticleDOI
Hermes: a distributed event-based middleware architecture
Peter Pietzuch,Jean Bacon +1 more
TL;DR: Her Hermes, a novel event-based distributed middleware architecture that follows a type- and attribute-based publish/subscribe model that centres around the notion of an event type and supports features commonly known from object-oriented languages like type hierarchies and super-type subscriptions is introduced.
Proceedings ArticleDOI
Network-Aware Operator Placement for Stream-Processing Systems
TL;DR: A stream-based overlay network (SBON) is described, a layer between a stream-processing system and the physical network that manages operator placement for stream- processing systems, which permits decentralized, large-scale multi-query optimization decisions.
Proceedings ArticleDOI
Integrating scale out and fault tolerance in stream processing using operator state management
TL;DR: The key idea is to expose internal operator state explicitly to the SPS through a set of state management primitives that can scale automatically to a load factor of L=350 with 50 VMs, while recovering quickly from failures.
Book
Distributed event-based systems
TL;DR: The authors offer a comprehensive overview, and show the power of event-based architectures in modern system design, encouraging professionals to exploit this technique in next generation large-scale distributed applications like information dissemination, network monitoring, enterprise application integration, or mobile systems.