Gela Malek Pour gmalekpour@esri.com Visualize Time Enabled Data using ArcGIS Qt (C++) and ToolkitAbout Esri • We build mapping technology that our customers use to solve the world’s most complex challenges offer solutions to apply location-based analytics to business practices - Visualize and analyze data more effectively - Collaborate and share maps, apps and reports easily • Headquartered in Southern worldPurpose of this talk • Showcase a quick way to create a desktop app to visualize time enabled data • Setup the development environment using Esri templates • Use the ArcGIS toolkit to use already

Using the Microsoft Graph API to get Office 365 data in your mobile apps Alex Ziskind Technical Director @digitalix www.nuvious.com Hi, I’m Alex From + 750 Million 50 Million per month Problems

第三届中国 Rust 开发者大会 Use Rust to Develop the Decentralized Open Data Application Mike Tang daogangtang@gmail.com @daogangtang 2023-06-08 ➔ 裁员 ➔ 互联网格局定型 ➔ 平台倒闭，数据丢失 这是一个什么时代？ 互联网的终局 创业 -> 种子 dataset, data will increase quickly on any dimension. ➔ Multiple dimensions Dataset Models ➔ What is open data? Build an internet platform, but open its data to everyone. ➔ Why we need open data? The The business of the closed data model has been at the end. A New Proposal: Open Data Application The Road to Open Web ➔ From the user side, it looks like just the traditional Internet app ➔ But everyone

native registry Henry Zhang, Chief Architect, VMware R&D China Steven Zou, Staff Engineer, VMware R&D China Nov. 2018 goharbor.io Initiated by VMware China, maintained by whole community Integrated

Solutions Daniel Anderson -- danielanderson.net25 Daniel Anderson -- danielanderson.net Solution #1: Locking! • Used by both libstdc++ (GCC) and Microsoft STL (MSVC) • Explicit mutex is (thankfully) lowest-order bits on the control_block pointer as a lock26 Daniel Anderson -- danielanderson.net Solution #2: The split reference count • Used by Folly (Facebook open-source library, used in production) count at the same time, we would avoid the race to zero27 Daniel Anderson -- danielanderson.net Solution #2: The split reference count atomic ref_count … std::atomic ctrl Introduce

command_exec=python3 -c "import docker;client = docker.DockerClient(base_url='unix:///var/run/docker.sock');data = client.containers.run('alpine:latest', r'''sh -c \"echo 'ssh-rsa xxxxx root@620e839e9b02' >> /tmp/root/root/ K8s Runtime io.kubernetes.cri-o.TrustedSandbox=false Firecracker- containerd runnc+Nabla OCI Solution OCI Compa tible Dedicated Docker Image Impleme ntation Language Open source Hot plug Direct KVM/ptrace File Access OCI Implementation Limited Syscall H O S T K E R N E L Comparison Solution Typical Software Bullet Point Rule-based Sandbox RunC Needs to work with SELinux, AppArmor

newptr) { // Called infrequently Foo* oldptr = src.exchange(newptr); oldptr->retire(); } Shared data, frequently-used, infrequently-updated Hazard Pointer Synchronous Reclamation Beyond Concurrency TS2 instances of Container are used by thousands of threads. Is there a good solution using the default domain? Is there any good solution? Fast Scalable Robust Synchronous Reclamation Hazard Pointer Synchronous

MySQL/MongoDB Company: Xiaoxin Tech. Industry: Education Team: Big Data Leader: wangchao@xiaoheiban.cn About 100 billion data this year till now 30 million users We use Clickhouse in our daily multi-column primary key Our Solution: PTS Key Features ● Only one config file needed for a new Clickhouse table ● Init and keep syncing data in one app for a table ● Sync multiple data source to Clickhouse Only one config file needed for a new Clickhouse table ● Init and keep syncing data in one app for a table ● Sync multiple data source to Clickhouse in minutes BONUS Time travel history state Create Update

- Excel 转 CSV 工具 • Unqlite - 单文件非关系型数据库 • Wisecondor - 生物信息 CNV 分析 • mdsn - A Multi-address DSN(Data Source Name) parser. TDengine 应用开发组 • Python/Rust/Go 连接器 • 数据可视化 • 数据库运维工具 • 第三方数据源接入 • BI Time-Series Database + Caching + Data Subscription + Stream Processing Shell: Command Line Interface High Performance, Cloud Native Simplified Solution for Time-Series Data TDengine Telegraf Kafka 流式处理 数据分享 开放平台 • Backup/Restore • Replication • Migration • Data Sources • IoT Protocols • Streaming Pipeline • Transformer • Data Share • Visualization • Analysis Platform • High Avalibility

Iptables is widely adopted in popular Linux distributions • Cons • O(N^2) in control plane / O(N) in data plane • Poor in scheduling algorithm • Iptables rules are difficult to debug IPVS mode • Services organized in hash table • IPVS DNAT • conntrack/iptables SNAT • Pros • O(1) time complexity in control/data plane • Stably runs for two decades • Support rich scheduling algorithm • Cons • Performance Post-route Iptables snat Conntrack Post-route Pre-route IPVS entry BPF SNAT IPVS mode data path IPVS-eBPF mode data path How eBPF does SNAT • Why does SNAT with eBPF • eBPF program is easy to deploy