activity
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

collaborators

26 papers

cs.NI2023

Demand-Aware Network Design with Steiner Nodes and a Connection to Virtual Network Embedding

Aleksander Figiel, Janne H. Korhonen, Neil Olver +1

Emerging optical and virtualization technologies enable the design of more flexible and demand-aware networked systems, in which resources can be optimized toward the actual worklo…

cs.NI2023★ 1 cited

RIFO: Pushing the Efficiency of Programmable Packet Schedulers

Habib Mostafaei, Maciej Pacut, Stefan Schmid

Packet scheduling is a fundamental networking task that recently received renewed attention in the context of programmable data planes. Programmable packet scheduling systems such…

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.NI2023★ 1 cited

MCQUIC - A Multicast Extension for QUIC

Max Franke, Jake Holland, Stefan Schmid

Mass live content, such as world cups, the Superbowl or the Olympics, attract audiences of hundreds of millions of viewers. While such events were predominantly consumed on TV, mor…

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.DS2023

An Improved Subquadratic Bound for Online Bisection

Marcin Bienkowski, Stefan Schmid

The online bisection problem is a natural dynamic variant of the classic bisection problem, where one has to dynamically maintain a partition of elements into two clusters of c…

cs.DS2023

Polylog-Competitive Algorithms for Dynamic Balanced Graph Partitioning for Ring Demands

Harald Räcke, Stefan Schmid, Ruslan Zabrodin

The performance of many large-scale and data-intensive distributed systems critically depends on the capacity of the interconnecting network. This paper is motivated by the vision…

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.NI2023

Toward Self-Adjusting k-ary Search Tree Networks

Evgenii Feder, Anton Paramonov, Pavel Mavrin +3

Datacenter networks are becoming increasingly flexible with the incorporation of new networking technologies, such as optical circuit switches. These technologies allow for program…

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…

cs.DS2023

Online Algorithms with Randomly Infused Advice

Yuval Emek, Yuval Gil, Maciej Pacut +1

We introduce a novel method for the rigorous quantitative evaluation of online algorithms that relaxes the "radical worst-case" perspective of classic competitive analysis. In cont…

cs.DS2023★ 1 cited

SeedTree: A Dynamically Optimal and Local Self-Adjusting Tree

Arash Pourdamghani, Chen Avin, Robert Sama +1

We consider the fundamental problem of designing a self-adjusting tree, which efficiently and locally adapts itself towards the demand it serves (namely accesses to the items store…

cs.DS2023

Dynamic Maintenance of Monotone Dynamic Programs and Applications

Monika Henzinger, Stefan Neumann, Harald Räcke +1

Dynamic programming (DP) is one of the fundamental paradigms in algorithm design. However, many DP algorithms have to fill in large DP tables, represented by two-dimensional arrays…

cs.NI2023★ 1 cited

Dynamic Demand-Aware Link Scheduling for Reconfigurable Datacenters

Kathrin Hanauer, Monika Henzinger, Lara Ost +1

Emerging reconfigurable datacenters allow to dynamically adjust the network topology in a demand-aware manner. These datacenters rely on optical switches which can be reconfigured…

cs.DC2022★ 1 cited

Chopin: Combining Distributed and Centralized Schedulers for Self-Adjusting Datacenter Networks

Neta Rozen Schiff, Klaus-Tycho Foerster, Stefan Schmid +1

The performance of distributed and data-centric applications often critically depends on the interconnecting network. Emerging reconfigurable datacenter networks (RDCNs) are a part…

cs.NI2022★ 1 cited

The Augmentation-Speed Tradeoff for Consistent Network Updates

Monika Henzinger, Ami Paz, Arash Pourdamghani +1

Emerging software-defined networking technologies enable more adaptive communication infrastructures, allowing for quick reactions to changes in networking requirements by exploiti…

cs.DC2022★ 1 cited

Brief Announcement: Broadcasting Time in Dynamic Rooted Trees is Linear

Antoine El-Hayek, Monika Henzinger, Stefan Schmid

We study the broadcast problem on dynamic networks with processes. The processes communicate in synchronous rounds along an arbitrary rooted tree. The sequence of trees is give…

cs.DC2022

Asymptotically Tight Bounds on the Time Complexity of Broadcast and its Variants in Dynamic Networks

Antoine El-Hayek, Monika Henzinger, Stefan Schmid

Data dissemination is a fundamental task in distributed computing. This paper studies broadcast problems in various innovative models where the communication network connecting …

cs.DS2022★ 1 cited

Online Admission Control and Rebalancing in Payment Channel Networks

Mahsa Bastankhah, Krishnendu Chatterjee, Mohammad Ali Maddah-Ali +3

Payment channel networks (PCNs) are a promising technology to improve the scalability of cryptocurrencies. PCNs, however, face the challenge that the frequent usage of certain rout…

cs.NI2022

Optimizing Reconfigurable Optical Datacenters: The Power of Randomization

Marcin Bienkowski, David Fuchssteiner, Stefan Schmid

Reconfigurable optical topologies are a promising new technology to improve datacenter network performance and cope with the explosive growth of traffic. In particular, these netwo…

cs.NI2022★ 2 cited

Model-Based Insights on the Performance, Fairness, and Stability of BBR

Simon Scherrer, Markus Legner, Adrian Perrig +1

Google's BBR is the most prominent result of the recently revived quest for efficient, fair, and flexible congestion-control algorithms (CCAs). While the performance of BBR has bee…

cs.NI2022

Self-Adjusting Linear Networks with Ladder Demand Graph

Anton Paramonov, Iosif Salem, Stefan Schmid +1

Self-adjusting networks (SANs) have the ability to adapt to communication demand by dynamically adjusting the workload (or demand) embedding, i.e., the mapping of communication req…

cs.DC2021

Sinkless Orientation Made Simple

Alkida Balliu, Janne H. Korhonen, Fabian Kuhn +9

The sinkless orientation problem plays a key role in understanding the foundations of distributed computing. The problem can be used to separate two fundamental models of distribut…