[A6]deview 2012 building cloud service with open stack

•

1 recomendación•1,362 vistas

NAVER D2

Tecnología Empresariales

Más contenido relacionado

Similar a [A6]deview 2012 building cloud service with open stack

Presentation from OpenStack Summit in April 2013. Building upon his popular blog posts and diagrams (http://ken.pepple.info), Ken will walk through the architecture of OpenStack Grizzly and describe its key software components and important interactions with a special focus on recent changes. After finishing with the software architecture, he will discuss common physical design patterns available for large scale deployments.

Introduction to OpenStack Architecture (Grizzly Edition)

Ken Pepple

DATE 2005 - OpenAccess Migration within Philips Semiconductor

Tim55Ehrler

Mirantis Folsom Meetup Intro

Mirantis

Building FOSS clouds

Sebastien Goasguen

Koen Handekyn - Variability in the Cloud

imec.archive

2012 11 Openstack China

OpenCity Community

Game cloud reference architecture

Jonathan Spindel

Memcached is a powerful open source distributed memory caching system and has become the de-facto standard for the web caching tier. 17 of the top 20 most trafficked sites - including Facebook, Twitter, Digg and Wikipedia - depend on Memcached to enhance their user experience by increasing website performance. In this presentation covers the basics of memcached, what it is and how it’s used. Includes some real world architectures of leading web sites and their implementation of memcached. The accompanying recorded webinar can be accessed here: http://www.gear6.com/why-memcached

Why Memcached?

Gear6

These slides cover the pros and cons of implementing Memcached in a cloud environment, the basics and best practices of implementation, and how to get the most out of your investment with Memcached. We also introduce Gear6 Web Cache Server for the Cloud, the first commercial Memcached service for cloud platforms. The on-demand webcast can be accessed here: http://www.gear6.com/memcached-resources/webinar-archive

Cloud Scaling with Memcached

Gear6

Apache CloudStack AlpesJUG

Sebastien Goasguen

Semantic Energy - Malcolm Murray

mocathe1st

Providing user support in Web-of-Things enabled Smart Spaces

Benoit Christophe

Semantic Web Services Framework for Computational Interoperability

Dr. Thiti Vacharasintopchai, ATSI-DX, CISA

Designing Silverlight

Reagan Hwang

For PROSA: Onsdag 26.1. Introduktion til Eclipse Eclipse er et fremstormende open source-udviklingsmiljø (Eclipse IDE), der oprindeligt er udviklet med henblik på Java. Kom og mød Tonny Madsen, formand for Eclipse Danmark, foreningen for både professionelle, virksomheder og brugere. Tonny er til daglig direktør i RCP Company, der har specialiseret sig i udvikling, uddannelse og konsulentydelser inden for Eclipse. Han vil give jer et overblik over platformen, både teknisk, projektmæssigt, organisering, muligheder, fremtiden etc.

PROSA - Eclipse Is Just What?

Tonny Madsen

Cascading and BigData Problems

cwensel

Recorded webinar: http://slidesha.re/KRisHj Subscribe: http://www.ksmartin.com/subscribe To purchase the book: http://bit.ly/MBPMbk Metrics-Based Process Mapping (MBPM) is a powerful tactical-level tool for identifying waste in office, service, and knowledge work environments, building consensus for change, standardizing work, and quantifying improvement. In this webinar, you'll learn how MBPMs differ from value stream maps and learn the step-by-step approach for creating current and future state maps. You'll also be introduced to Karen Martin & Mike Osterling's new edition of Metrics-Based Process Mapping, which features an extensive Excel tool for measuring, sharing, and archiving improved processes.

Metrics-Based Process Mapping: What, When & How

TKMG, Inc.

NaaS

Save Manos

NaaS

Anis Nasir

Openstack in action2 Rackspace- state of the openstack union 31-05-12

eNovance

Similar a [A6]deview 2012 building cloud service with open stack (20)

Introduction to OpenStack Architecture (Grizzly Edition)

DATE 2005 - OpenAccess Migration within Philips Semiconductor

Mirantis Folsom Meetup Intro

Building FOSS clouds

Koen Handekyn - Variability in the Cloud

2012 11 Openstack China

Game cloud reference architecture

Why Memcached?

Cloud Scaling with Memcached

Apache CloudStack AlpesJUG

Semantic Energy - Malcolm Murray

Providing user support in Web-of-Things enabled Smart Spaces

Semantic Web Services Framework for Computational Interoperability

Designing Silverlight

PROSA - Eclipse Is Just What?

Cascading and BigData Problems

Metrics-Based Process Mapping: What, When & How

NaaS

Openstack in action2 Rackspace- state of the openstack union 31-05-12

Más de NAVER D2

[211] 인공지능이 인공지능 챗봇을 만든다

NAVER D2

[233] 대형 컨테이너 클러스터에서의 고가용성 Network Load Balancing: Maglev Hashing Scheduler i...

NAVER D2

[215] Druid로 쉽고 빠르게 데이터 분석하기

NAVER D2

[245]Papago Internals: 모델분석과 응용기술 개발

NAVER D2

[236] 스트림 저장소 최적화 이야기: 아파치 드루이드로부터 얻은 교훈

NAVER D2

[235]Wikipedia-scale Q&A

NAVER D2

[244]로봇이 현실 세계에 대해 학습하도록 만들기

NAVER D2

[243] Deep Learning to help student’s Deep Learning

NAVER D2

[234]Fast & Accurate Data Annotation Pipeline for AI applications

NAVER D2

Old version: [233]대형 컨테이너 클러스터에서의 고가용성 Network Load Balancing

NAVER D2

[226]NAVER 광고 deep click prediction: 모델링부터 서빙까지

NAVER D2

[225]NSML: 머신러닝 플랫폼 서비스하기 & 모델 튜닝 자동화하기

NAVER D2

[224]네이버 검색과 개인화

NAVER D2

[216]Search Reliability Engineering (부제: 지진에도 흔들리지 않는 네이버 검색시스템)

NAVER D2

[214] Ai Serving Platform: 하루 수 억 건의 인퍼런스를 처리하기 위한 고군분투기

NAVER D2

[213] Fashion Visual Search

NAVER D2

[232] TensorRT를 활용한 딥러닝 Inference 최적화

NAVER D2

[242]컴퓨터 비전을 이용한 실내 지도 자동 업데이트 방법: 딥러닝을 통한 POI 변화 탐지

NAVER D2

[212]C3, 데이터 처리에서 서빙까지 가능한 하둡 클러스터

NAVER D2

[223]기계독해 QA: 검색인가, NLP인가?

NAVER D2

Más de NAVER D2 (20)

[211] 인공지능이 인공지능 챗봇을 만든다

[233] 대형 컨테이너 클러스터에서의 고가용성 Network Load Balancing: Maglev Hashing Scheduler i...

[215] Druid로 쉽고 빠르게 데이터 분석하기

[245]Papago Internals: 모델분석과 응용기술 개발

[236] 스트림 저장소 최적화 이야기: 아파치 드루이드로부터 얻은 교훈

[235]Wikipedia-scale Q&A

[244]로봇이 현실 세계에 대해 학습하도록 만들기

[243] Deep Learning to help student’s Deep Learning

[234]Fast & Accurate Data Annotation Pipeline for AI applications

Old version: [233]대형 컨테이너 클러스터에서의 고가용성 Network Load Balancing

[226]NAVER 광고 deep click prediction: 모델링부터 서빙까지

[225]NSML: 머신러닝 플랫폼 서비스하기 & 모델 튜닝 자동화하기

[224]네이버 검색과 개인화

[216]Search Reliability Engineering (부제: 지진에도 흔들리지 않는 네이버 검색시스템)

[214] Ai Serving Platform: 하루 수 억 건의 인퍼런스를 처리하기 위한 고군분투기

[213] Fashion Visual Search

[232] TensorRT를 활용한 딥러닝 Inference 최적화

[242]컴퓨터 비전을 이용한 실내 지도 자동 업데이트 방법: 딥러닝을 통한 POI 변화 탐지

[212]C3, 데이터 처리에서 서빙까지 가능한 하둡 클러스터

[223]기계독해 QA: 검색인가, NLP인가?

Último

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Friends Colony Women Seeking Men

Delhi Call girls

How to convert PDF to text with Nanonets

naman860154

08448380779 Call Girls In Greater Kailash - I Women Seeking Men

Delhi Call girls

Heather Hedden, Senior Consultant at Enterprise Knowledge, presented “The Role of Taxonomy and Ontology in Semantic Layers” at a webinar hosted by Progress Semaphore on April 16, 2024. Taxonomies at their core enable effective tagging and retrieval of content, and combined with ontologies they extend to the management and understanding of related data. There are even greater benefits of taxonomies and ontologies to enhance your enterprise information architecture when applying them to a semantic layer. A survey by DBP-Institute found that enterprises using a semantic layer see their business outcomes improve by four times, while reducing their data and analytics costs. Extending taxonomies to a semantic layer can be a game-changing solution, allowing you to connect information silos, alleviate knowledge gaps, and derive new insights. Hedden, who specializes in taxonomy design and implementation, presented how the value of taxonomies shouldn’t reside in silos but be integrated with ontologies into a semantic layer. Learn about: - The essence and purpose of taxonomies and ontologies in information and knowledge management; - Advantages of semantic layers leveraging organizational taxonomies; and - Components and approaches to creating a semantic layer, including the integration of taxonomies and ontologies

The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf

Enterprise Knowledge

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

Delhi Call girls

What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.

04-2024-HHUG-Sales-and-Marketing-Alignment.pptx

HampshireHUG

The 7 Things I Know About Cyber Security After 25 Years | April 2024

Rafal Los

Strategies for Landing an Oracle DBA Job as a Fresher

Remote DBA Services

🐬 The future of MySQL is Postgres 🐘

RTylerCroy

The Raspberry Pi 5 was announced on October 2023. This new version of the popular embedded device comes with a new iteration of Broadcom’s VideoCore GPU platform, and was released with a fully open source driver stack, developed by Igalia. The presentation will discuss some of the major changes required to support this new Video Core iteration, the challenges we faced in the process and the solutions we provided in order to deliver conformant OpenGL ES and Vulkan drivers. The talk will also cover the next steps for the open source Raspberry Pi 5 graphics stack. (c) Embedded Open Source Summit 2024 April 16-18, 2024 Seattle, Washington (US) https://events.linuxfoundation.org/embedded-open-source-summit/ https://eoss24.sched.com/event/1aBEx

Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...

Igalia

Data Cloud, More than a CDP by Matt Robison

Anna Loughnan Colquhoun

In an era where artificial intelligence (AI) stands at the forefront of business innovation, Information Architecture (IA) is at the core of functionality. See “There’s No AI Without IA” – (from 2016 but even more relevant today) Understanding and leveraging how Information Architecture (IA) supports AI synergies between knowledge engineering and prompt engineering is critical for senior leaders looking to successfully deploy AI for internal and externally facing knowledge processes. This webinar be a high-level overview of the methodologies that can elevate AI-driven knowledge processes supporting both employees and customers. Core Insights Include: Strategic Knowledge Engineering: Delve into how structuring AI's knowledge base is required to prevent hallucinations, enable contextual retrieval of accurate information. This will include discussion of gold standard libraries of use cases support testing various LLMs and structures and configurations of knowledge base. Precision in Prompt Engineering: Learn the art of crafting prompts that direct AI to deliver targeted, relevant responses, thereby optimizing customer experiences and business outcomes. Unified Approach for Enhanced AI Performance: Explore the intersection of knowledge and prompt engineering to develop AI systems that are not only more responsive but also aligned with overarching business strategies. Guiding Principles for Implementation: Equip yourself with best practices, ethical guidelines, and strategic considerations for embedding these technologies into your business ecosystem effectively. This webinar is designed to empower business and technology leaders with the knowledge to harness the full potential of AI, ensuring their organizations not only keep pace with digital transformation but lead the charge. Join us to map a roadmap to fully leverage Information Architecture (IA) and AI chart a course towards a future where AI is a key pillar of strategic innovation and business success.

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx

Earley Information Science

[2024]Digital Global Overview Report 2024 Meltwater.pdf

hans926745

Scaling API-first – The story of a global engineering organization

Radu Cotescu

Abhishek Deb(1), Mr Abdul Kalam(2) M. Des (UX) , School of Design, DIT University , Dehradun. This paper explores the future potential of AI-enabled smartphone processors, aiming to investigate the advancements, capabilities, and implications of integrating artificial intelligence (AI) into smartphone technology. The research study goals consist of evaluating the development of AI in mobile phone processors, analyzing the existing state as well as abilities of AI-enabled cpus determining future patterns as well as chances together with reviewing obstacles as well as factors to consider for more growth.

Exploring the Future Potential of AI-Enabled Smartphone Processors

debabhi2

GenAI Risks & Security Meetup 01052024.pdf

lior mazor

Histor y of HAM Radio presentation slide

vu2urc

[A6]deview 2012 building cloud service with open stack

2. 2.1

5. 2.2

10.

11.

12.

13. Rackspace

14. Cloud

15. Equiv Amazon

16. Web

17. Service

18. OpenStack

19. Project

20. alent

21. Equivalent

22. Compute

23. Cloud

24. Servers

25. EC2

26. Nova

27. Volume

28. Storage

29. (preparing)

30. EBS

31. Cinder

32. Object

33. Storage

34. Cloud

35. Files

36. S3

37. Swift

38. Networks

39. (preparing)

40. VPC

41. Quantum

42. AWS

43. Management

44. Co Dashboard

45. Cloud

46. Control

47. Panel

48. Horizon

49. nsole

50.

51. Dashboard

52. (Horizon)

53. Identity

54. (Keystone)

55. 요청

56. 요청

57. 요청

58. 요청

59. 요청

60. 모니터링

61. 오토

62. 스케일링

63. Compute

64. (Nova)

65. 이미지

66. 볼륨

67. 네트워크

68. 연결

69. Image

70. (Glance)

71. Network

72. (Quantum)

73. Volume

74. (Cinder)

75. 이미지

76. 저장소

77. 백업

78. Object

79. Storage

80. (Swift)

81.

82.

83.

84.

85.

86. nova-api

87. nova-compute

88. Queue

89. Server

90. Database

91. nova-scheduler

92.

93. http://comstud.com/FolsomCells.pdf {

94. API

95. Cell

96. }

97. Parent

98. {

99. Additional

100. Cell

101. }

102. {

103. Compute

104. Cell

105. }

106. {

107. Compute

108. Cell

109. }

110. {

111. Compute

112. Cell

113. }

114. {

115. Compute

116. Cell

117. }

118. Child

119. Child

120. Child

121. Child

122. Parent

123.

124. Give me VM

125. {

126. Compute

127. Cell

128. }

129. {

130. API

131. Cell

132. }

133. nova-compute

134. nova-api

135. Database

136. Capability

137. /

138. Capacity

139. Database

140. nova-scheduler

141. Queue

142. Server

143. Scheduling

144. /

145.

146.

147. Queue

148. Server

149. Request

150. Forwarding

151. nova-cells

152. nova-cells

153.

154. [Tenant-1]

155. [Tenant-2]

156. [Tenant-4095]

157. [Tenant-4096]

158. Ÿ

159. Ÿ

160. Ÿ

161. [VLAN-1]

162. [VLAN-2]

163. [VLAN-4095]

164. [VLAN-4096]

165. Compute

166. Hosts

167. Gateway

168.

169. VNET

170. 100

171. br100

172. –

173. vlan100

174. –

175. eth0

176. br-100

177. –

178. vlan100

179. –

180. eth0

181. 10.0.0.0/24

182.

183.

184.

185.

186.

187.

188.

189.

190.

191.

192.

193.

194.

195. 10.0.0.1

196.

197.

198.

199.

200.

201.

202.

203.

204.

205.

206.

207.

208.

209.

210.

211. tap-vm1

212. dnsmasq

213. 10.0.0.2~10.0.0.254

214.

215.

216.

217.

218.

219.

220.

221.

222.

223.

224.

225.

226.

227.

228.

229. tap-vm2

230. iptables

231. NAT

232. rule

233. add

234. routing

235. add

236. 10.0.0.0/24

237. vlan100

238. Compute

239. Hosts

240. Gateway

241.

242. VNET

243. 101

244. 10.1.0.0/24

245. VNET

246. 100

247. VNET

248. 100

249. 10.0.0.0/24

250. 10.0.0.0/24

251. VNET

252. 100

253. GW

254. 설정

255. VNET

256. 100

257. GW

258. 설정

259. dnsmasq

260. 10.0.0.0/24

261.

262. dnsmasq

263. 10.0.0.0/24

264.

265. VNET

266. 101

267. GW

268. 설정

269. dnsmasq

270. 10.1.0.0/24

271.

272.

273. Load

274. Balancer

275. nova-api

276. nova-compute

277. Queue

278. Server

279. Database

280. nova-scheduler

281.

282. www.yourapp.com

283. Global

284. Load

285. Balancer

286. DNS

287. Load

288. Balancer

289. Load

290. Balancer

291. 재생성

292. Sync

293. AZ-A

294. AZ-B

295. 스냅샷/백업

296. 복구

297.

298.

299. root

300. volume

301. root

302. volume

303. permanent

304. data

305.

306. /

307. Database

308.

309. cinder

310. service

311. 컴퓨트

312. Host

313. 사용률

314. 30%

315. 스토리지

316. 스토리지

317. 사용률

318. 90%

319. {

320. Cinder

321. }

322.

323. 10.0.0.4

324. 10.0.0.3

325.

326. 10.0.0.5

327. TOR

328. TOR

329. Aggregate

330. Switch

331.

332. API

333. Gateways

334. DHCP

335. server

336. DB

337. Compute

338. Hosts

339. Plug-in

340. Queue

341. Server

342. {

343. Quantum

344. Server

345. }

346. {

347. Quantum

348. Agent

349. }

350.

351. 10.0.0.4

352. 10.0.0.3

353.

354. 10.0.0.5

355. TOR

356. TOR

357. Aggregate

358. Switch

359.

[A6]deview 2012 building cloud service with open stack

Recomendados

Recomendados

Más contenido relacionado

Similar a [A6]deview 2012 building cloud service with open stack

Similar a [A6]deview 2012 building cloud service with open stack (20)

Más de NAVER D2

Más de NAVER D2 (20)

Último

Último (20)

[A6]deview 2012 building cloud service with open stack