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pro vyhledávání: '"Demırbaş, Murat"'
Coordination services and protocols are critical components of distributed systems and are essential for providing consistency, fault tolerance, and scalability. However, due to lack of a standard benchmarking tool for distributed coordination servic
Externí odkaz:
http://arxiv.org/abs/2403.09445
Autor:
Alqahtani, Salem, Demirbas, Murat
In this paper, we present BunchBFT Byzantine fault-tolerant state-machine replication for high performance and scalability. At the heart of BunchBFT is a novel design called the cluster-based approach that divides the replicas into clusters of replic
Externí odkaz:
http://arxiv.org/abs/2205.10658
Autor:
Alqahtani, Salem, Demirbas, Murat
This paper describes BigBFT, a multi-leader Byzantine fault tolerance protocol that achieves high throughput and scalable consensus in blockchain systems. BigBFT achieves this by (1) enabling every node to be a leader that can propose and order the b
Externí odkaz:
http://arxiv.org/abs/2109.12664
Autor:
Alqahtani, Salem, Demirbas, Murat
Most of the Blockchain permissioned systems employ Byzantine fault-tolerance (BFT) consensus protocols to ensure that honest validators agree on the order for appending entries to their ledgers. In this paper, we study the performance and the scalabi
Externí odkaz:
http://arxiv.org/abs/2103.04234
Autor:
Whittaker, Michael, Ailijiang, Ailidani, Charapko, Aleksey, Demirbas, Murat, Giridharan, Neil, Hellerstein, Joseph M., Howard, Heidi, Stoica, Ion, Szekeres, Adriana
State machine replication protocols, like MultiPaxos and Raft, are a critical component of many distributed systems and databases. However, these protocols offer relatively low throughput due to several bottlenecked components. Numerous existing prot
Externí odkaz:
http://arxiv.org/abs/2012.15762
Strong consistency replication helps keep application logic simple and provides significant benefits for correctness and manageability. Unfortunately, the adoption of strongly-consistent replication protocols has been curbed due to their limited scal
Externí odkaz:
http://arxiv.org/abs/2003.07760
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Autor:
Alqahtani, Salem, Demirbas, Murat
Deep learning has permeated through many aspects of computing/processing systems in recent years. While distributed training architectures/frameworks are adopted for training large deep learning models quickly, there has not been a systematic study o
Externí odkaz:
http://arxiv.org/abs/1909.02061
Consistency properties provided by most key-value stores can be classified into sequential consistency and eventual consistency. The former is easier to program with but suffers from lower performance whereas the latter suffers from potential anomali
Externí odkaz:
http://arxiv.org/abs/1909.01980
Causal consistency is an intermediate consistency model that can be achieved together with high availability and performance requirements even in presence of network partitions. In the context of partitioned data stores, it has been shown that implic
Externí odkaz:
http://arxiv.org/abs/1812.07123