Specific topics of interest include but are not limited to the following:

    Track 1: Hardware Systems and Networking: hardware architecture, networking of data centers. Virtualized hardware, Open hardware architectures
    Track 2: Software Systems and Platforms: Programming models and runtime systems. Resource management and scheduling. Service-oriented architectures. IaaS, PaaS, SaaS. Monitoring and evaluation tools, analysis of system/application performance.
    Track 3: Machine Learning (ML) for Systems and Systems for ML: abstraction, architecture, design and implementation supporting machine learning and artificial intelligence applications. Use of ML/AI applications to enhance the performance of cluster, cloud and Internet-computing systems. ML/AI techniques for workload prediction. Application scheduling, resource placement, resilience in cluster, cloud and Internet-computing systems.
    Track 4: Future Compute Continuum and Seamless Ecosystems: Internet computing frontiers. Future Internet. Osmotic computing. Post- and Non-Von Neumann computing. Quantum computing.
    Track 5: Sustainable IT Systems: abstraction, architecture, design and implementation. Ultra-low power systems architectures. Optimization and analysis in green computing. Environment-friendly computing ecosystems. Power, cooling and thermal awareness. Green edge, IoT, Cloud, datacenter and supercomputers.
    Track 6: Applications and Workflows: Data science. Machine learning and artificial intelligence applications. Cyber-physical systems. e-Health. Internet of Things (IoT)-enabled smart systems and applications