We introduce the idea of a Label, a new data representation, and, we present LABIOS: a new, distributed, Label- based I/O system. LABIOS boosts I/O .
load requirements, we have developed LABIOS, a new, distributed, scalable, and adaptive I/O System. LABIOS, a new class of a storage system, isthe•rst(data)LAbel-BasedI/OSystem, isfullydecoupled, and is intended to grow in the intersection of HPC and BigData. LABIOS .
We introduce the idea of a Label, a new data representation, and, we present LABIOS: a new, distributed , Label- based I/O system . LABIOS boosts I/O performance by up to 17x via asynchronous I/O , supports heterogeneous storage resources, offers storage elasticity, and promotes in-situ analytics via data provisioning. LABIOS demonstrates the effectiveness of storage bridging to support the.
LABIOS: Label-Based I/O System •Distributed, scalable, and adaptive storage solution •Fully decoupled architecture •Software defined storage (SDS) •Energy-aware enabling power- capped I/O •Reactive storage with tunable I/O performance •Flexible.
LABIOS: Label-Based I/O System •Distributed, scalable, and adaptive storage solution •Fully decoupled architecture •Software defined storage (SDS) •Energy-aware enabling power-capped I/O •Reactive storage with tunable I/O performance •Flexible.
In this article, we investigate how to support a wide variety of conflicting I/O workloads under a single storage system. We introduce the idea of a Label, a new data representation, and, we present LABIOS: a new, distributed, Label- based I/O system .
veloped LABIOS, a new, distributed, scalable, and adaptive I/O System. LABIOS, a new class of a storage system, is the •rst (data) LAbel-Based I/O System, is fully decoupled, and is intended to grow in the intersection of HPC and BigData. LABIOS demonstrates the following contributions: ACM Transactions on Storage , Vol. 16, No. 4, Article 22.
Anthony Kougkas, Hariharan Devarajan, Jay Lofstead, and Xian-He Sun. LABIOS: A Distributed Label-Based I/O System (Slides), In Proceedings of the ACM 28th International Symposium on High-Performance Parallel and Distributed Computing (HPDC’19) Best Paper Award. Hariharan Devarajan, Anthony Kougkas, and Xian-He Sun.
