Márk Szalay

Assistant Professor

Email: szmark@hit.bme.hu

Room: IE449


Links

Research Interests & Directions

  • Real-time Serverless and FaaS Scheduling
    Designing latency-bounded serverless platforms; schedulability analysis and heuristic placement across multi-node FaaS clusters to guarantee end-to-end deadlines and SLOs.

  • State Management for Cloud-Native Applications
    Minimizing state access latency and tail behavior via data locality, replication, and consistent partitioning strategies in microservices and event-driven systems.

  • Edge/MEC Platforms: Cost–Latency Optimization
    Joint placement and scaling of services at the edge to meet latency constraints while optimizing operational cost, leveraging SDN/NFV-enabled architectures.

  • Software-Defined Networking and Hybrid Migration
    Performance analysis and transition strategies from legacy to SDN-based infrastructures, focusing on reliability, hybrid topologies, and operational resilience.

  • Cloud-Native Reliability and Failure Prediction
    Lightweight observability pipelines and data-driven methods to predict application failures and degradations in cloud-native stacks, enabling proactive mitigation.

  • QoE-Aware Resource Management
    Quality-of-experience modeling for latency-sensitive services (e.g., interactive video, conferencing), with telemetry-driven resource allocation and adaptive control.

  • Function Composition and Fusion in Serverless
    Optimizing end-to-end latency and cost by fusing dependent functions and co-locating data/compute, supported by theoretical models and systems validation.

  • Deterministic Edge for Industrial/AR Use Cases
    Integrating deterministic local clouds and time-sensitive networking for industrial control and augmented reality, with overload-aware latency management.

  • Network Slicing and QoS Engineering
    Placement and resource governance for network slices under QoS/QoE objectives, using multi-objective optimization across access and transport layers.

  • Academia–Industry Co-development
    Translating research into practice through industrial collaborations (e.g., telecom), focusing on observability, reliability, and real-time guarantees in production.