Publications associées à Modèle de cohérence

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Geo-replicated data platforms are at the backbone of several large-scale online services. Transactional Causal Consistency (TCC) is an attractive consistency level for building such platforms. TCC avoids many anomalies of eventual consistency, eschews the ...

2019

Distributed Transactional Systems Cannot Be Fast

Rachid Guerraoui, Willy Zwaenepoel, Diego Didona, Junxiong Wang, Panagiota Fatourou

We prove that no fully transactional system can provide fast read transactions (including read-only ones that are considered the most frequent in practice). Specifically, to achieve fast read transactions, the system has to give up support of transactions ...

2019

In Search of Lost Bandwidth: Extensive Reordering of DRAM Accesses on FPGA

Paolo Ienne, Mikhail Asiatici, Gabor Andras Csordas

For efficient acceleration on FPGA, it is essential for external memory to match the throughput of the processing pipelines. However, the usable DRAM bandwidth decreases significantly if the access pattern causes frequent row conflicts. Memory controllers ...

IEEE COMPUTER SOC2019

Causal Consistency and Latency Optimality: Friend or Foe? [Extended Version]

Rachid Guerraoui, Willy Zwaenepoel, Diego Didona, Junxiong Wang

Causal consistency is an attractive consistency model for geo-replicated data stores. It is provably the strongest model that tolerates network partitions. It avoids the long latencies associated with strong consistency, and, especially when using read-onl ...

2018

Causal Consistency and Latency Optimality: Friend or Foe?

Rachid Guerraoui, Willy Zwaenepoel, Diego Didona, Junxiong Wang

Causal consistency is an attractive consistency model for geo-replicated data stores. It is provably the strongest model that tolerates network partitions. It avoids the long latencies associated with strong consistency, and, especially when using read-onl ...

ASSOC COMPUTING MACHINERY2018

Cyber-physical systems (CPSs) are real-world processes that are controlled by computer algorithms. We consider CPSs where a centralized, software-based controller maintains the process in a desired state by exchanging measurements and setpoints with proces ...

EPFL2018

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We study the issue of data consistency in distributed systems. Specifically, we consider a distributed system that replicates its data at multiple sites, which is prone to partitions, and which is assumed to be available (in the sense that queries are alwa ...

2018

Passing Messages while Sharing Memory

Rachid Guerraoui, Naama Ben David

We introduce a new distributed computing model called m&m that allows processes to both pass messages and share memory. Motivated by recent hardware trends, we find that this model improves the power of the pure message-passing and shared-memory models. As ...

ASSOC COMPUTING MACHINERY2018

Distributed Transactions: Dissecting the Nightmare

Rachid Guerraoui, Willy Zwaenepoel, Diego Didona, Junxiong Wang

Many distributed storage systems are transactional and a lot of work has been devoted to optimizing their performance, especially the performance of read-only transactions that are considered the most frequent in practice. Yet, the results obtained so far ...

2018

Wren: Nonblocking Reads in a Partitioned Transactional Causally Consistent Data Store

Willy Zwaenepoel, Diego Didona, Kristina Spirovska

Transactional Causal Consistency (TCC) extends causal consistency, the strongest consistency model compatible with availability, with interactive read-write transactions, and is therefore particularly appealing for geo-replicated platforms. This paper pres ...

2018

Modèle de cohérence

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Distributed Transactional Systems Cannot Be Fast

In Search of Lost Bandwidth: Extensive Reordering of DRAM Accesses on FPGA

Causal Consistency and Latency Optimality: Friend or Foe? [Extended Version]

Causal Consistency and Latency Optimality: Friend or Foe?

Passing Messages while Sharing Memory

Distributed Transactions: Dissecting the Nightmare

Wren: Nonblocking Reads in a Partitioned Transactional Causally Consistent Data Store

Causal Consistency and Latency Optimality: Friend or Foe? [Extended Version]

Causal Consistency and Latency Optimality: Friend or Foe?

Distributed Transactional Systems Cannot Be Fast

In Search of Lost Bandwidth: Extensive Reordering of DRAM Accesses on FPGA

Wren: Nonblocking Reads in a Partitioned Transactional Causally Consistent Data Store

Passing Messages while Sharing Memory

Distributed Transactions: Dissecting the Nightmare