TPCTC 2018 - Tenth TPC Technology Conference on Performance Evaluation & Benchmarking

The Transaction Processing Performance Council (TPC) is a non-profit organization established in August 1988. Over the past two decades, the TPC has had a significant impact on the computing industry’s use of industry-standard benchmarks. Vendors use TPC benchmarks to illustrate performance competitiveness for their existing products, and to improve and monitor the performance of their products under development. Many buyers use TPC benchmark results as points of comparison when purchasing new computing systems. The information technology landscape is evolving at a rapid pace, challenging industry experts and researchers to develop innovative techniques for evaluation, measurement and characterization of complex systems. The TPC remains committed to developing new benchmark standards to keep pace, and one vehicle for achieving this objective is the sponsorship of the Technology Conference on Performance Evaluation and Benchmarking (TPCTC). Over the last nine years we have held TPCTC successfully in conjunction with VLDB.
With the tenth TPC Technology Conference on Performance Evaluation and Benchmarking (TPCTC 2018) proposal, we strive to excel the success of previous workshops by encouraging researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation and benchmarking for emerging technology areas. Authors are invited to submit original, unpublished papers that are not currently under review for any other conference or journal. We also encourage the submission of extended abstracts, position statement papers and lessons learned in practice. The accepted papers will be published in the workshop proceedings, and selected papers will be considered for future TPC benchmark developments.
Topics of interest include, but are not limited to:
Artificial Intelligence
Big Data and Analytics
Complex event processing
Database Optimizations
Data Integration
Disaster tolerance and recovery
Artificial Intelligence
Emerging storage technologies (NVMe, 3D XPoint Memory etc)
Hybrid workloads
Energy and space efficiency
In-memory databases
Internet of Things
Virtualization
Enhancements to TPC workloads
Lessons learned in practice using TPC workloads
Collection and interpretation of performance data in public cloud environments