Foundation 4.12 使用 IBM Cloud 部署 OpenShift Data Foundation 使用 IBM 云部署 Red Hat OpenShift Data Foundation 的说明 Last Updated: 2023-12-21 Red Hat OpenShift Data Foundation 4.12 使用 IBM Cloud 部署 OpenShift Data Data Foundation 使用 IBM 云部署 Red Hat OpenShift Data Foundation 的说明 法律通告 法律通告 Copyright © 2023 Red Hat, Inc. The text of and illustrations in this document are licensed by Red Hat under a Creative Commons property of their respective owners. 摘要 摘要 请阅读本文档，了解如何使用 Red Hat OpenShift Container Platform 在 IBM 云集群中安装 Red Hat OpenShift Data Foundation。 . . . . . . . . . . . . . . . . . . . . . . . . . . . .

poloclub.github.io/#cse6242
 CSE6242/CX4242: Data & Visual Analytics
 Simple Data Storage; SQLite Duen Horng (Polo) Chau
 Associate Professor, College of Computing
 Associate Director, MS Analytics


IBM软件 2014 年 9 月 大数据集成与 Hadoop 可最大限度降低Hadoop计划风险并提高ROI的最佳实践 2 大数据集成与 Hadoop 简介 Apache Hadoop技术通过支持新的流程和架构，不断改进 大数据措施的经济性和活力，这样不仅有助于削减成本、增加 收益，而且还能树立竞争优势。Hadoop是一个开源软件项目， 支持在多个商业服务器群集间分散处理和存储大型数据集， 、可扩展 性、功能和治理，从Hadoop沼泽中生成可使用的数据。没有 有效的集成，势必形成“垃圾进垃圾出”的情况－这不是出色 的受信任数据使用方法，更谈不上准确完整的洞察或转型 成果。 IBM软件 3 随着Hadoop市场的不断发展，顶级技术分析师一致认为， Hadoop 基础架构本身并非完整或有效的大数据集成解决方案 （请阅读此报告，其中对Hadoop为何并非数据集成平台进行了 现有关。多年来，领先的数据仓库供应商（如IBM和Teradata） 和领先的数据集成平台（如IBM ® InfoSphere ® Information Server）纷纷提供可支持海量数据可扩展性的非共享大规模并 行软件平台，有些企业采用此做法已有近20年。 久而久之，这些供应商陆续集中关注4个常见的软件架构特征， 以便为实现海量数据可扩展性提供支持，如图2所示。 IBM软件 5 图2

PFS存储引擎10/17/22 2 Why ●为了减少使用cpu做内存copy，减少系统调用 ●发挥某些被操作系统屏蔽的功能，例如nvme write zero ●根据阿里《When Cloud Storage Meets RDMA》的说法 ●在100Gbps网络带宽时，内存带宽成为瓶颈 ●Intel Memory Latency Checker (MLC)测试得到的CPU内存带宽是 61Gbps10/17/22 const struct iovec *iov, int iovcnt, off_t offset); ●IO vector的接口主要是为了与brpc的iobuf对接，iobuf由若干地址不连 续的block组成，一次IO提交可以提高效率。10/17/22 8 PFS+SPDK 的部分读写的实现 ●某些盘只支持4k单位读写，但是CurveBS支持512字节读写 ●可能存在部分写的并发冲突 ●引入并发的range

OpenShift Container Storage 4.6 以外部模式部署 OpenShift Container Storage 如何安装和配置您的环境 Last Updated: 2023-06-08 Red Hat OpenShift Container Storage 4.6 以外部模式部署 OpenShift Container Storage 如何安装和配置您的环境 Enter Copyright © 2022 | You need to change the HOLDER entity in the en- US/Deploying_OpenShift_Container_Storage_in_external_mode.ent file |. The text of and illustrations in this document are licensed by Red the property of their respective owners. 摘要 摘要 有关安装 Red Hat OpenShift Container Storage 4.6 使用外部 Red Hat Ceph Storage 集群的说明， 请参阅本文档。 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

C++ in the Cloud One NIF at a Time with Elixir Sakshi Verma | Senior Software Engineerhttps://www.linkedin.com/in/sakverma Functional, concurrent language built for scalability. Ideal for managing managing large-scale cloud applications. Built on the Erlang VM, ensuring resilience and fault tolerance. What is Elixir?https://www.linkedin.com/in/sakverma The Smooth Sailing…https://www.linkedin

integrate to Cloud NativeCurve intro • Curve is an distributed storage system • High performance • Easiser operation • Cloud native • Curve is composed of two parts • Curve Block Storage (CurveBS) high performance cloud native distributed block storage • Curve File System (CurveFS) • CurveFS: a high performance cloud native file system (Based on CurveBS / S3 compatible Storage)Operator capability (by Helm) patch and minor version upgrads supported FULL LIFECYCLE Plan to Support app lifecycle, storage lifecycle(backup, failure, recovery) DEEP INSIGHTS Plan to Support metrics, alerts, log processing

HBASE-21879 Read HFile ’s Block into ByteBuffer directly. 1. Background For reducing the Java GC impact to p99/p999 RPC latency, HBase 2.x has made an offheap read and write path. The KV are allocated BucketCache firstly, if the Cache misses, go to the HFile and read the corresponding block. The workflow: reading block from cache OR sending cells to client, is basically not involved in heap memory allocations that the process of reading the Block from HFile is still copied to the heap firstly, the heap block won’t free unless the WriterThread of BucketCache flushes the Block to offheap IOEngine successfully

Handle Edge Cloud Network with KubeBus Yulin Sun, yulin.sun@huawei.com Seattle Cloud Lab, Huawei R&D USA, Bellevue WA Agenda • Edge sample user scenarios • Edge network characteristics • Related work Connect to Cloud behind NAT gateway • Mightn’t have direct connection between Edges • Edge Nodes connect to Cloud with Internet • Low bandwidth • High latency Related Work --Edge/Cloud collaboration Device � Cloud IOT Device � Edge � Cloud Intelligent Edge + Intelligent Cloud MQTT Broker IOT Device MQTT Cloud Services MQTT Broker Edge Service MQTT Edge Node IOT Device Edge Cloud Edge to

Handle Edge Cloud Network with KubeBus Yulin Sun, yulin.sun@huawei.com Seattle Cloud Lab, Huawei R&D USA, Bellevue WA Agenda • Edge sample user scenarios • Edge network characteristics • Related work Connect to Cloud behind NAT gateway • Mightn’t have direct connection between Edges • Edge Nodes connect to Cloud with Internet • Low bandwidth • High latency Related Work --Edge/Cloud collaboration Device � Cloud IOT Device � Edge � Cloud Intelligent Edge + Intelligent Cloud MQTT Broker IOT Device MQTT Cloud Services MQTT Broker Edge Service MQTT Edge Node IOT Device Edge Cloud Edge to