Article

Open Source - OpenStack

OpenStack
Authored by Last updated on 07/13/2018 - 14:32
Article

开源 - OpenStack

OpenStack
Authored by Last updated on 07/13/2018 - 14:32
Article

Configuration and Deployment Guide for OpenStack* Swift* Object Storage on Intel® Atom™ Processor and Intel® Xeon® Processor Microservers

This Configuration and Deployment Guide explores designing and building object storage environments based on OpenStack* Swift* in cloud environments, wher

Authored by Dan Fineberg (Intel) Last updated on 07/06/2019 - 16:30
Blog post

Software Defined Storage with Intel® Enabling Technologies

Software-Defined Storage (SDS) is a software layer that manages storage infrastructure.  Software developers have

Authored by Thai Le (Intel) Last updated on 07/04/2019 - 10:38
Article

Optimizing Storage Solutions Using the Intel® Intelligent Storage Acceleration Library

Intel® ISA-L provides the tools to help accelerate and optimize storage on Intel® architecture (IA) for everything from small office NAS appliances up to enterprise storage systems. The functions provided in this library help with storage recoverability, data integrity, data security, and faster data compression mechanisms. This article provides a high level functional overview of Intel ISA-L.
Authored by Thai Le (Intel) Last updated on 07/05/2019 - 14:39
Article

使用英特尔® 智能存储加速库优化存储解决方案

随着越来越多的设备连接到云/互联网,出现了各种不同的源(包括智能手机、平板电脑和物联网设备)生成数据。 存储需求逐年攀升。  英特尔® 至强™ 处理器产品家族和英特尔® 智能存储库(英特尔® ISA-L)的结合为可发人员提供了安全、快速处理数据,甚至降低存储空间需求的工具。

Authored by Thai Le (Intel) Last updated on 07/05/2019 - 14:40
Article

Accelerate Data Deduplication Using Chunking and Hashing Functions

Abstract
Authored by Thai Le (Intel) Last updated on 07/05/2019 - 20:19
Article

使用分块和散列函数加速重复数据删除

摘要

本文将介绍英特尔® 智能存储加速库(英特尔® ISA-L) 中的分块和散列函数。 英特尔 ISA-L 是一种算法库,可满足密钥存储市场的各种需求,包括面向英特尔® 架构 (IA) 的优化和提高效率、数据完整性、安全性/加密、删除码、压缩、CRC,AES 等。

Authored by Thai Le (Intel) Last updated on 07/05/2019 - 20:20
Article

Hardware and Software Approach for Using NUMA Systems

Learn how to build an application that runs effectively on non-uniform memory access (NUMA) hardware. This article walks you through choosing the algorithm all the way through to measuring your application's performance.
Authored by Last updated on 03/21/2019 - 12:00