Distributed
Systems Laboratory

• Green IoT
• Fog-Cloud Computing
• Edge Intelligence
• Energy-aware Systems

Energy-aware service placement across the fog-cloud continuum

• Data Stream Processing
• Distributed Systems
• Runtime Adaptation
• Control Theory and Adaptive Systems
• Resource Management and Performance Optimization
• Cloud/Edge Computing

Runtime Adaptation in Data Stream Processing Using Control Theory: Adaptive Window Management and Data Shedding for Joint Accuracy and Latency Optimization

• Computer Networks
• Internet of Things (IoT)
• Fog and Cloud Computing
• VANETs
• Service Placement

Priority-Aware, Green, and Containerized Placement of VANET Application Services in Fog-Cloud Computing Environments

• Federated Learning
• Orchestration in Federated Learning

A Workload-Aware Approach to Client Orchestration in Federated Learning

• Federated Learning
• Edge Computing Resource Management

A Mechanism for Managing Straggler Edge Computing Resources in Federated Learning

• Distributed Systems
• AI Systems
• Cloud Computing
• Machine Learning
• Scalable Systems

A Study of Resilience and Service Continuity Considerations in Multi-Cloud Architectures

• Distributed Systems

Serverless scheduling under bursty workloads

• Distributed Systems
• Artificial Intelligence
• Intelligent Agents
• Large Language Models

Synergy between large language models and distributed systems

• AIOps
• Anomaly Detection
• Root Cause Analysis
• Microservices
• Distributed AI

Anomaly Detection and Root Cause Analysis in Microservices

• Federated Learning
• Federated MLOps
• Security in Distributed ML
• ML for Software Engineering

A Survey on System Architecture, Security, and Optimization Challenges and Solutions in Federated MLOps Platforms

• edge-computing
• serverless-computing
• sustainable-computing

Carbon-aware offloading for serverless functions in the edge-cloud continuum

• Serverless Architecture
• Cloud Gaming
• Multi-Cloud Paradigm
• Real-Time Systems
• Quality of Service (QoS)
• Quality of Experience (QoE)
• Agentic AI
• Cloud Orchestration

Cloud Gaming: Designing A QoS / QoE Aware Gamehub In A Multi-Cloud Environment

• Distributed Systems
• Real-Time Stream Processing
• Apache Flink
• Big Data Architectures
• Energy-Aware Computing
• High-Throughput and Low-Latency Data Stream Analytics

Predictive and Energy-Aware Task Scheduling in Real-Time Stream Data Processing Based on Apache Flink Using Machine Learning

• Quantum Cloud Computing
• Quantum Resource Management
• Task Orchestration
• Adaptive Shot Allocation
• VQA Workload Management
• Deep Reinforcement Learning

Efficient Management of Workloads and Tasks of Variational Quantum Algorithm based Applications in Quantum Cloud Computing Environments using Reinforcement Learning