85 citations · 110 across the 13 of their papers we have counts for
15 papers
Beyond Thread States: Diagnosing Performance Degradation with eBPF and Thread Dynamics
Diogo Landau, Jorge G. Barbosa, Nishant Saurabh
Online Data-Intensive applications face performance degradation from load variability and resource interference. While Thread State Analysis (TSA) based approaches enable identifyi…
Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management
Pradeep Mantha, Florian J. Kiwit, Nishant Saurabh +2
Hybrid quantum-classical applications pose significant resource management challenges due to heterogeneity and dynamism in both infrastructure and workloads. Quantum-HPC environmen…
Retrofitting Service Dependency Discovery in Distributed Systems
Diogo Landau, Gijs Blanken, Jorge Barbosa +1
Modern distributed systems rely on complex networks of interconnected services, creating direct or indirect dependencies that can propagate faults and cause cascading failures. To…
Collaborative State Machines: A Better Programming Model for the Cloud-Edge-IoT Continuum
Marlon Etheredge, Thomas Fahringer, Felix Erlacher +5
The development of Cloud-Edge-IoT applications requires robust programming models. Existing models often struggle to manage the dynamic and stateful nature of these applications ef…
Federated learning framework for collaborative remaining useful life prognostics: an aircraft engine case study
Diogo Landau, Ingeborg de Pater, Mihaela Mitici +1
Complex systems such as aircraft engines are continuously monitored by sensors. In predictive aircraft maintenance, the collected sensor measurements are used to estimate the healt…
eBPF-Based Instrumentation for Generalisable Diagnosis of Performance Degradation
Diogo Landau, Jorge Barbosa, Nishant Saurabh
Online Data Intensive applications (e.g. message brokers, ML inference and databases) are core components of the modern internet, providing critical functionalities to connecting s…
Workflows Community Summit 2024: Future Trends and Challenges in Scientific Workflows
Rafael Ferreira da Silva, Deborah Bard, Kyle Chard +108
The Workflows Community Summit gathered 111 participants from 18 countries to discuss emerging trends and challenges in scientific workflows, focusing on six key areas: time-sensit…
Quantum Mini-Apps: A Framework for Developing and Benchmarking Quantum-HPC Applications
Nishant Saurabh, Pradeep Mantha, Florian J. Kiwit +2
With the increasing maturity and scale of quantum hardware and its integration into HPC systems, there is a need to develop robust techniques for developing, characterizing, and be…
Multi-Objective Optimization of Consumer Group Autoscaling in Message Broker Systems
Diogo Landau, Nishant Saurabh, Xavier Andrade +1
Message brokers often mediate communication between data producers and consumers by adding variable-sized messages to ordered distributed queues. Our goal is to determine the numbe…
Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions
Yuri Alexeev, Maximilian Amsler, Paul Baity +124
Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…
A Conceptual Architecture for a Quantum-HPC Middleware
Nishant Saurabh, Shantenu Jha, Andre Luckow
Quantum computing promises potential for science and industry by solving certain computationally complex problems faster than classical computers. Quantum computing systems evolved…
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
Multilayer Resource-aware Partitioning for Fog Application Placement
Zahra Najafabadi Samani, Nishant Saurabh, Radu Prodan
Fog computing emerged as a crucial platform for the deployment of IoT applications. The complexity of such applications requires methods that handle the resource diversity and netw…
Semantics-aware Virtual Machine Image Management in IaaS Clouds
Nishant Saurabh, Julian Remmers, Dragi Kimovski +2
Infrastructure-as-a-service (IaaS) Clouds concurrently accommodate diverse sets of user requests, requiring an efficient strategy for storing and retrieving virtual machine images…
VM Image Repository and Distribution Models for Federated Clouds: State of the Art, Possible Directions and Open Issues
Nishant Saurabh, Dragi Kimovski, Simon Ostermann +1
The emerging trend of Federated Cloud models enlist virtualization as a significant concept to offer a large scale distributed Infrastructure as a Service collaborative paradigm to…