INDIS 2024 - 11th Annual International Workshop on Innovating the Network for Data-Intensive Science

Network innovations: novel approaches, protocols and algorithms to meet the current and emerging requirements for data intensive applications.
High-performance network testbeds and simulations for parallel and distributed science experiments and workloads.
High-performance and large-scale network monitoring, control and management services.
Software-defined networking (SDN) and Network Function Virtualization (NFV) in service of data science applications.
Machine learning algorithms for network telemetry, performance measurements, network and Input/Output (I/O) profile analytics, and high-touch solutions on network packets, flows and hardware stats to identify patterns and troubleshooting issues.
Compute in-network (aka edge- middleware computing platforms) and offloaded infrastructure services on programmable hardware (e.g. FPGA).
High-performance data streaming and memory-to-memory transfer applications and techniques
Wireless and Quantum networking and testbeds.
End-to-end quality of service (QoS) performance and Traffic Engineering (TE) applications.
Multi-domain networking, including hybrid clouds and multi-domain authorization.
Scientific data privacy, security, integrity, provenance and sharing in multi-domain environments.