『OpenStackの導入事例/検証事例のご紹介』 NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design ...VirtualTech Japan Inc.
『OpenStackの導入事例/検証事例のご紹介』NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design and Operation of OpenStack Cloud on 100 Physical Servers (NTT DOCOMO)」
講師:伊藤 宏通(日本仮想化技術 CTO)
先日パリで開催したOpenStack Summit 2014 Parisで講演した内容を日本語でお伝えいたします。
You will face many problems when you start designing your OpenStack Cloud because of a lack of full design architecture information. For example, there are many Neutron plugins, but it is difficult to choose the best plugin and its configuration to get a high throughput of a Virtual Machine (VM) and achieve a High Availability (HA) of L3 Agent. Also, we couldn’t find information for how much computing resource (CPU, Memory and HDD) is required for management and operation servers (e.g. API, RabbitMQ, MySQL and Monitoring etc.).
We built OpenStack Icehouse Cloud on 100 physical servers (1600 physical cores) without using commecial software, and did several performance and long-run tests to address these problems.
In this talk, we will present performance comparison of Neutron ML2 plugin implementations (Open vSwitch and Linux Bridge), tunnelling protocols (GRE and VXLAN) and physical network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path) to achieve 10Gbps at a VM, and the L3 Agent HA we implemented. Also, we will present how much computing resource we used and each server loads to operate the cloud. Finaly, we will share our Ansible Based OpenStack deployment and management tool.
Key topics include:
- Performance comparison of OSS Neutron ML2 plugins (Open vSwitch and Linux Bridge) and tunneling protocols (GRE and VXLAN)
- Performance comparision of redundant network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path)
- HA of L3 Agent (ACT/STBY) we implemented
- Ansible based deployment/operation tools
- Items we must watch for OpenStack operation
- Hardware specifications and resources we used to operate the Cloud
We will share a full design architecture and hardware sizing information for a large scale cloud and prove OSS based Neutron can handle a hundred servers.
『OpenStackの導入事例/検証事例のご紹介』 NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design ...VirtualTech Japan Inc.
『OpenStackの導入事例/検証事例のご紹介』NTTドコモ様 検証事例:OpenStack Summit 2014 Paris 講演「Design and Operation of OpenStack Cloud on 100 Physical Servers (NTT DOCOMO)」
講師:伊藤 宏通(日本仮想化技術 CTO)
先日パリで開催したOpenStack Summit 2014 Parisで講演した内容を日本語でお伝えいたします。
You will face many problems when you start designing your OpenStack Cloud because of a lack of full design architecture information. For example, there are many Neutron plugins, but it is difficult to choose the best plugin and its configuration to get a high throughput of a Virtual Machine (VM) and achieve a High Availability (HA) of L3 Agent. Also, we couldn’t find information for how much computing resource (CPU, Memory and HDD) is required for management and operation servers (e.g. API, RabbitMQ, MySQL and Monitoring etc.).
We built OpenStack Icehouse Cloud on 100 physical servers (1600 physical cores) without using commecial software, and did several performance and long-run tests to address these problems.
In this talk, we will present performance comparison of Neutron ML2 plugin implementations (Open vSwitch and Linux Bridge), tunnelling protocols (GRE and VXLAN) and physical network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path) to achieve 10Gbps at a VM, and the L3 Agent HA we implemented. Also, we will present how much computing resource we used and each server loads to operate the cloud. Finaly, we will share our Ansible Based OpenStack deployment and management tool.
Key topics include:
- Performance comparison of OSS Neutron ML2 plugins (Open vSwitch and Linux Bridge) and tunneling protocols (GRE and VXLAN)
- Performance comparision of redundant network configurations (Network Interface Bonding and Server Side Equal Cost Multi Path)
- HA of L3 Agent (ACT/STBY) we implemented
- Ansible based deployment/operation tools
- Items we must watch for OpenStack operation
- Hardware specifications and resources we used to operate the Cloud
We will share a full design architecture and hardware sizing information for a large scale cloud and prove OSS based Neutron can handle a hundred servers.
【DLゼミ】XFeat: Accelerated Features for Lightweight Image Matchingharmonylab
公開URL:https://arxiv.org/pdf/2404.19174
出典:Guilherme Potje, Felipe Cadar, Andre Araujo, Renato Martins, Erickson R. ascimento: XFeat: Accelerated Features for Lightweight Image Matching, Proceedings of the 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023)
概要:リソース効率に優れた特徴点マッチングのための軽量なアーキテクチャ「XFeat(Accelerated Features)」を提案します。手法は、局所的な特徴点の検出、抽出、マッチングのための畳み込みニューラルネットワークの基本的な設計を再検討します。特に、リソースが限られたデバイス向けに迅速かつ堅牢なアルゴリズムが必要とされるため、解像度を可能な限り高く保ちながら、ネットワークのチャネル数を制限します。さらに、スパース下でのマッチングを選択できる設計となっており、ナビゲーションやARなどのアプリケーションに適しています。XFeatは、高速かつ同等以上の精度を実現し、一般的なラップトップのCPU上でリアルタイムで動作します。
セル生産方式におけるロボットの活用には様々な問題があるが,その一つとして 3 体以上の物体の組み立てが挙げられる.一般に,複数物体を同時に組み立てる際は,対象の部品をそれぞれロボットアームまたは治具でそれぞれ独立に保持することで組み立てを遂行すると考えられる.ただし,この方法ではロボットアームや治具を部品数と同じ数だけ必要とし,部品数が多いほどコスト面や設置スペースの関係で無駄が多くなる.この課題に対して音𣷓らは組み立て対象物に働く接触力等の解析により,治具等で固定されていない対象物が組み立て作業中に運動しにくい状態となる条件を求めた.すなわち,環境中の非把持対象物のロバスト性を考慮して,組み立て作業条件を検討している.本研究ではこの方策に基づいて,複数物体の組み立て作業を単腕マニピュレータで実行することを目的とする.このとき,対象物のロバスト性を考慮することで,仮組状態の複数物体を同時に扱う手法を提案する.作業対象としてパイプジョイントの組み立てを挙げ,簡易な道具を用いることで単腕マニピュレータで複数物体を同時に把持できることを示す.さらに,作業成功率の向上のために RGB-D カメラを用いた物体の位置検出に基づくロボット制御及び動作計画を実装する.
This paper discusses assembly operations using a single manipulator and a parallel gripper to simultaneously
grasp multiple objects and hold the group of temporarily assembled objects. Multiple robots and jigs generally operate
assembly tasks by constraining the target objects mechanically or geometrically to prevent them from moving. It is
necessary to analyze the physical interaction between the objects for such constraints to achieve the tasks with a single
gripper. In this paper, we focus on assembling pipe joints as an example and discuss constraining the motion of the
objects. Our demonstration shows that a simple tool can facilitate holding multiple objects with a single gripper.
2. Self-introduction
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
@MayumiK0 オーじゃなくてゼロです
日本CloudStackユーザー会 会長
一般社団法人クラウド利用促進機構 技術アドバイザー
クリエーションライン株式会社 シニアエンジニア
主にCloudStackをさわってますが、何でも屋
どちらかというと実はネットワークのが好き
家に19inchのフルラックがあるけど、殆どただの棚と化している
とにかくビール重要
3. Santa Clara
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
やって参りました
Santa Clara
このへん
5. Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
それではセッションのお話
6. Conference Schedule
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
聞きたいな〜と思うセッションの
時間が結構かぶってる
http://www.cloudstackcollab.org/
7. Keynote - Chip Childers
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
8. Keynote - Chip Childers
「State of the Project: Apache CloudStack in 2013」
• 1年未満のinclubator期間でTopレベルプロジェクトになった
• 4.1.0 released
• 20 features 24 improvements 155 bug fixs
• 2.X userが4.XにUpdateするためのHelp
• Email Trafficeが相当増えている
• JCSUGおよびCloudStack徹底入門の紹介
• Apache CloudStackは 272+ Operators in Production
• Flexible Deployment option and infra choice
• Next apache cloudstack collaboration 11/20-22 2013 Amsterdam
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
11. Tales from the cloudstack real-
time support team
初心者向け
普段CloudStackユーザー会で話している技術
的入門編のような内容でした
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
12. Linux Native VXLAN Integration
NTT-comのhatanoさんの
VLANの壁をこえるためのVXLANの実装の話
http://www.slideshare.net/haeenajp/
asfccc2013-toshiaki-release
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
14. How to Run from a Zombie:
CloudStack Distributed Process
Management
CloudStackのプロセスの分散管理要件の探索
https://speakerdeck.com/jburwell/how-to-
run-from-a-zombie-cloudstack-distributed-
process-management
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
16. SDN in CloudStack
CloudstackとSDN
GRE isolation
Nicira VPN
BigSwitch VNS
Midokura Midnet
Stratosphere SSP
http://www.slideshare.net/buildacloud/sdn-
in-cloudstack
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
17. Lessons Learned in the
CloudStack 4.1.0 Release
アーキテクチャの変更
• Custum Injection FrameworkをSpring Frameworkに変換
• パッケージの変更
cloud-という名前がcloudstack-に
• リファクタリング
Storage plugin model
Network plugin model
API implementation(互換あり)
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
18. Lessons Learned in the
CloudStack 4.1.0 Release
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
http://www.slideshare.net/chipchilders/
cloudstack-release-41
19. High Availability and Disaster
Recovery for Cloud Workloads
高可用性とDRについて。4.2以降で実装される
内容+NetScalerのGSLBで実現できること。
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
21. Hands-on-Lab: Running
CloudStack & Nicira NVP
NetworkOfferingで、Nicira NVPを使うオファリ
ングを作成し、そのオファリングを使うネット
ワークを作成し、インスタンスを作成するという
流れ。
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.
22. Next
Next apache cloudstack collaboration
11/20-22 2013 Amsterdam
Copyright (C) 2013 Japan CloudStack User Group All Rights Reserved.