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Laboratoire des systèmes de centres de calcul

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Publications associées (282)

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Size-aware Sharding For Improving Tail Latencies in In-memory Key-value Stores

Willy Zwaenepoel, Diego Didona

This paper introduces the concept of size-aware sharding to improve tail latencies for in-memory key-value stores, and describes its implementation in the Minos key-value store. Size-aware sharding distributes requests for keys to cores according to the si ...

USENIX ASSOC2019

A zero-copy key-value store in Rust

Ogier Quentin Bouvier

To provide a key-value store with consistent latency independent from keys and values sizes we need to eliminate copies from the key-value store's datapath while still ensuring reliable delivery of responses to requests. We leverage several feature of the ...

2019

The Consensus Number of a Cryptocurrency

Rachid Guerraoui, Dragos-Adrian Seredinschi, Matej Pavlovic, Matteo Monti

Many blockchain-based algorithms, such as Bitcoin, implement a decentralized asset transfer system, often referred to as a cryptocurrency. As stated in the original paper by Nakamoto, at the heart of these systems lies the problem of preventing double-spen ...

ASSOC COMPUTING MACHINERY2019

Scalable Synchronization in Shared-Memory Systems: Extrapolating, Adapting, Tuning

Georgios Chatzopoulos

As hardware evolves, so do the needs of applications. To increase the performance of an application, there exist two well-known approaches. These are scaling up an application, using a larger multi-core platform, or scaling out, by distributing work to mul ...

EPFL2018

Network-Compute Co-Design for Distributed In-Memory Computing

Alexandros Daglis

The booming popularity of online services is rapidly raising the demands for modern datacenters. In order to cope with data deluge, growing user bases, and tight quality of service constraints, service providers deploy massive datacenters with tens to hund ...

EPFL2018

A Programming Model and Foundation for Lineage-Based Distributed Computation

Philipp Haller

The most successful systems for "big data'' processing have all adopted functional APIs. We present a new programming model we call function passing designed to provide a more principled substrate, or middleware, upon which to build data-centric distribute ...

Cambridge University Press2018

Cross-Platform Language Design

Sébastien Jean R Doeraene

Programming languages are increasingly compiled to multiple runtimes, each featuring their own rich structures such as their object model. Furthermore, they need to interact with other languages targeting said runtimes. A language targeting only one runtim ...

EPFL2018

Bridging the gap between dataplanes and commodity operating systems

Georgios Prekas

The conventional wisdom is that aggressive networking requirements, such as high packet rates for small messages and microsecond-scale tail latency, are best addressed outside the kernel, in a user-level networking stack. In particular, dataplanes borrow d ...

EPFL2018

Interleaving with coroutines: a systematic and practical approach to hide memory latency in index joins

Anastasia Ailamaki, Georgios Psaropoulos

Index joins present a case of pointer-chasing code that causes data cache misses. In principle, we can hide these cache misses by overlapping them with computation: The lookups involved in an index join are parallel tasks whose execution can be interleaved ...

2018

Flow control for Latency-Critical RPCs

Edouard Bugnion, Evangelos Marios Kogias

In today’s modern datacenters, the waiting time spent within a server’s queue is a major contributor of the end-to-end tail latency of μs-scale remote procedure calls. In traditional TCP, congestion control handles in-network congestion, while flow control ...

2018