Search Results for author: Vasiliki Kalavri

Found 5 papers, 1 papers with code

SoK: Function-as-a-Service: From An Application Developer's Perspective

no code implementations JSYS Mar_Papers 2021 Ali Raza, Ibrahim Matta, Nabeel Akhtar, Vasiliki Kalavri, Vatche Isahagian

In this model, a developer focuses on writing the code of the application while infrastructure management is left to the cloud provider who is responsible for the underlying resources, security, isolation, and scaling of the application.

Management

Secrecy: Secure collaborative analytics on secret-shared data

no code implementations1 Feb 2021 John Liagouris, Vasiliki Kalavri, Muhammad Faisal, Mayank Varia

We present a relational MPC framework for secure collaborative analytics on private data with no information leakage.

Databases Cryptography and Security

A Survey on the Evolution of Stream Processing Systems

no code implementations3 Aug 2020 Marios Fragkoulis, Paris Carbone, Vasiliki Kalavri, Asterios Katsifodimos

Stream processing has been an active research field for more than 20 years, but it is now witnessing its prime time due to recent successful efforts by the research community and numerous worldwide open-source communities.

Management

Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems

no code implementations29 Dec 2019 Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler

We also crystallize the meaning of different concepts associated with streaming graph processing, such as dynamic, temporal, online, and time-evolving graphs, edge-centric processing, models for the maintenance of updates, and graph databases.

Distributed, Parallel, and Cluster Computing Databases Data Structures and Algorithms Performance

Megaphone: Live state migration for distributed streaming dataflows

1 code implementation4 Dec 2018 Moritz Hoffmann, Andrea Lattuada, Frank McSherry, Vasiliki Kalavri, John Liagouris, Timothy Roscoe

We design and implement Megaphone, a data migration mechanism for stateful distributed dataflow engines with latency objectives.

Distributed, Parallel, and Cluster Computing

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