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20172023
most citedPerformance Analysis of Machine Learning Centered Workload Prediction Models for Cloud

128 citations · 139 across the 20 of their papers we have counts for

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Showing 2023 · cs.DCShow all

5 papers · 2 filters

cs.DC2023★ 1 cited

Robust Routing Made Easy: Reinforcing Networks Against Non-Benign Faults

Christoph Lenzen, Moti Medina, Mehrdad Saberi +1

With the increasing scale of communication networks, the likelihood of failures grows as well. Since these networks form a critical backbone of our digital society, it is important…

cs.DC2023

Dynamic Probabilistic Reliable Broadcast

Veronika Anikina, João Paulo Bezerra, Petr Kuznetsov +2

Byzantine reliable broadcast is a fundamental primitive in distributed systems that allows a set of processes to agree on a message broadcast by a dedicated process, even when some…

cs.DC2023

Topological Characterization of Consensus Solvability in Directed Dynamic Networks

Hugo Rincon Galeana, Ulrich Schmid, Kyrill Winkler +2

Consensus is one of the most fundamental problems in distributed computing. This paper studies the consensus problem in a synchronous dynamic directed network, in which communicati…

cs.DC2023★ 128 cited

Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud

Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh +1

The precise estimation of resource usage is a complex and challenging issue due to the high variability and dimensionality of heterogeneous service types and dynamic workloads. Ove…

cs.DC2023

Time Complexity of Broadcast and Consensus for Randomized Oblivious Message Adversaries

Antoine El-Hayek, Monika Henzinger, Stefan Schmid

Broadcast and consensus are most fundamental tasks in distributed computing. These tasks are particularly challenging in dynamic networks where communication across the network lin…