SYSTOR has traditionally welcomed academic and industrial papers in systems including storage, cloud and distributed systems, networking, and systems security, broadly construed. While continuing on this tradition, this year, we are broadening the scope to also include research on systems issues in AI and/or sustainability, including those that involve workload optimization, data processing, lifecycle of systems, carbon footprint transparency, and system re-designs. SYSTOR encourages submissions that describe results from experimental system prototypes, as well as experience papers describing practical deployments, and valuable lessons learned from them.
Topics of interest include, but are not limited to:
Systems and workload optimization for AI/ML systems
Sustainability/carbon footprint of computer and network systems
System security and trust
Big Data infrastructure
Cloud, edge, data center, and distributed systems
Embedded and real-time systems
Fault tolerance, reliability, and availability
File and storage systems
Networked, mobile, wireless, peer-to-peer, and sensor systems
Operating systems, computer architecture, and their interactions
Performance evaluation and workload characterization
Runtime systems and compiler/programming-language support
System deployment, usage, and experience
System design or adaptation for emerging storage technologies
Virtualization and containers
Storage 3.0