Two papers are accepted in SC 2020: "INEC: Fast and Coherent In-Network Erasure Coding" and "RDMP-KV: Designing Remote Direct Memory Persistence-based Key-Value Stores with PMEM".
Congratulations to Haiyang, Tianxi, Shashank, and Dr. Shankar!
[SC'20] INEC: Fast and Coherent In-Network Erasure Coding
Haiyang Shi and Xiaoyi Lu.
In Proceedings of the 33rd International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020. (Acceptance Rate: 22.3%)
Erasure coding (EC) is a promising fault tolerance scheme that has been applied
to many well-known distributed storage systems. The capability of Coherent EC
Calculation and Networking on modern SmartNICs has demonstrated that EC will be
an essential feature of in-network computing. In this paper, we propose a set
of coherent in-network EC primitives, named INEC. Our analyses based on the
[SC'20] RDMP-KV: Designing Remote Direct Memory Persistence-based Key-Value Stores with PMEM
Tianxi Li*, Dipti Shankar*, Shashank Gugnani, and Xiaoyi Lu.
In Proceedings of the 33rd International Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2020. (Acceptance Rate: 22.3%, *Co-First Authors)
Byte-addressable persistent memory (PMEM) can be directly manipulated by Remote Direct Memory Access (RDMA) capable networks. However, existing studies to combine RDMA and PMEM can not deliver the desired performance due to their PMEM-oblivious communication protocols. In this paper, we propose novel PMEM-aware RDMA-based communication protocols for persistent key-value stores, referred to as Remote Direct Memory Persistence based Key-Value stores (RDMP- KV). RDMP-KV employs a hybrid ‘server-reply/server-bypass’ approach to ‘durably’ store individual key-value objects on PMEM-equipped servers. RDMP-KV’s runtime can easily adapt to existing (server-assisted durability) and emerging (appliance durability) RDMA-capable interconnects, while ensuring server scalability through a lightweight consistency scheme. Performance evaluations show that RDMP-KV can improve the server-side performance with different persistent key-value storage architectures by up to 22x, as compared with PMEM-oblivious RDMA-‘Server-Reply’ protocols. Our evaluations also show that RDMP-KV outperforms a distributed PMEM-based filesystem by up to 65% and a recent RDMA-to-PMEM framework by up to 71%.