Bin Dong

TL;DR: The design of a new scientific data analysis system that efficiently processes queries directly over data stored in the HDF5 file format is presented, which eliminates the tedious and error-prone data loading process, and makes the query results readily available to the next processing steps of the analysis workflow.

TL;DR: This paper proposes a new system, named Data Elevator, for transparently and efficiently moving data in hierarchical storage, which reduces the resource contention on BB servers via offloading the data movement from a fixed number of BB server nodes to compute nodes.

TL;DR: SALB is presented, a dynamic and adaptive load balancing algorithm which is totally based on a distributed architecture and achieves an optimal performance not only on the mean response time but also on the resource utilization among the schemes for comparison.

TL;DR: SoMeta is presented, a scalable and decentralized metadata management approach for object-centric storage in HPC systems that provides a flat namespace that is dynamically partitioned, a tagging approach to manage metadata that can be efficiently searched and updated, and a light-weight and fault tolerant management strategy.

TL;DR: New capabilities developed in Hierarchical Data Format version 5 (HDF5) include: Virtual Object Layer (VOL), Data Elevator, asynchronous I/O, full-featured single-writer and multiple-reader (Full SWMR), and parallel querying.