31 citations · 407 across the 77 of their papers we have counts for
6 papers · 1 filter
Carbon-Aware Quality Adaptation for Energy-Intensive Services
Philipp Wiesner, Dennis Grinwald, Philipp Weiß +3
The energy demand of modern cloud services, particularly those related to generative AI, is increasing at an unprecedented pace. To date, carbon-aware computing strategies have pri…
Investigating Memory Failure Prediction Across CPU Architectures
Qiao Yu, Wengui Zhang, Min Zhou +5
Large-scale datacenters often experience memory failures, where Uncorrectable Errors (UEs) highlight critical malfunction in Dual Inline Memory Modules (DIMMs). Existing approaches…
LogRCA: Log-based Root Cause Analysis for Distributed Services
Thorsten Wittkopp, Philipp Wiesner, Odej Kao
To assist IT service developers and operators in managing their increasingly complex service landscapes, there is a growing effort to leverage artificial intelligence in operations…
On Software Ageing Indicators in OpenStack
Yevhen Yazvinskyi, Jasmin Bogatinovski, Jorge Cardoso +1
Distributed systems in general and cloud systems in particular, are susceptible to failures that can lead to substantial economic and data losses, security breaches, and even poten…
Daedalus: Self-Adaptive Horizontal Autoscaling for Resource Efficiency of Distributed Stream Processing Systems
Benjamin J. J. Pfister, Dominik Scheinert, Morgan K. Geldenhuys +1
Distributed Stream Processing (DSP) systems are capable of processing large streams of unbounded data, offering high throughput and low latencies. To maintain a stable Quality of S…
Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization
Morgan Geldenhuys, Dominik Scheinert, Odej Kao +1
Distributed Stream Processing (DSP) focuses on the near real-time processing of large streams of unbounded data. To increase processing capacities, DSP systems are able to dynamica…