Software-Defined Storage Definition and Overview
draft-sds-definition-overview-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Eui-Nam Huh , Gawon Lee , Yunkon Kim , Jintaek Kim | ||
| Last updated | 2016-08-17 (Latest revision 2016-02-14) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
In accordance with rapid increase of data related to IoT and big data, techniques to control high capacity data is currently active and vibrant research field. Enterprises are trying to manage data on the cloud because of flexibility and capability. However, there are some limits to handle data intelligently in cloud. The SDS is considered as a good technique regarding this manner. SDS improves efficiency, scalability and flexibility in scale-out architecture, as well as, provides a cost effective solution using the existing storage resources efficiently.
Authors
Eui-Nam Huh
Gawon Lee
Yunkon Kim
Jintaek Kim
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)