Jaesun Han (NexR CEO & Founder)
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1 S Jaesun Han (NexR CEO & Founder)
2 S2 Big Switch: Power Burden Iron Works Edison Power Plant & Power Grid
3 S3 Big Switch: Computing Corporate Data Center PC Cloud Computing Center & Internet
4 S4 Definition of Cloud Computing A pool of abstracted, highly scalable, and managed compute infrastructure capable of hosting end-customer applications and billed by consumption - Is Cloud Computing Ready for The Enterprise?, Forrester Research Cloud computing is an emerging approach to shared infrastructure in which large pools of systems are linked together to provide IT services - Press release on Blue Cloud, IBM A style of computing where IT-related capabilities are provided as a service, allowing users to access technology-enabled services from the Internet ( in the cloud ) without knowledge of, expertise with, or control over the technology infrastructure that supports them - Cloud Computing, Wikipedia A paradigm in which information is permanently stored in servers on the Inte rnet and cached temporarily on clients that include desktops, entertainment cent ers, table computers, notebooks, wall computers, handhelds, etc - ORGs for Scalable, Robust, Privacy-Friendly Client Cloud Computing, IEEE Internet Computing
5 S5 My Definition For companies Providing IT infrastructure and environment to develop/host/run services and apps, on demand, with pay-as-you-go pricing, as a service For end-users Providing resource and services to store data and run application, in various devices, anytime, anywhere, as a service
6 S6 Features Prescripted & Abstracted Infrastructure Fully Virtualized Equipped with Dynamic Infrastructure Software Pay by Consumption Free of Long-Term Contracts Application and OS Independent Free of Software or Hardware Installation Source: Is Cloud Computing Ready For The Enterprise, Forrester Research
7 S7 Advantages Economies of scale Cost No upfront CapEx(Capital Expenditure) Pay-as-you-go pricing model Scalability Scale capacity on demand Handling dynamic workloads Productivity Easy to use Reduced time-to-market Maintenance Easy or no management Instant software updates
8 S8 The Evolution of Computing Grid Computing Utility Computing Cloud Computing
9 Grid + Utility + Autonomic S9 = Cloud Computing Grid Computing A form of distributed computing whereby a "super and virtual computer" is composed of a cluster of networked, loosely-coupled computers, acting in concert to perform very large tasks Utility Computing The packaging of computing resources, such as computation and storage, as a metered service similar to a traditional public utility such as electricity Autonomic Computing Computer systems capable of self-management Cloud Computing, Wikipedia
10 Difference from Previous S10 Computing Enterprise Cloud Computing As a Service Grid Computing Utility Computing End-User
11 S11 Trends: x-computing Google Trends
12 S12 Market Volume Estimation Year 2011 $160 billion = $95 billion (business and productivity apps ( , office, CRM, etc.)) + $65 billion (online advertising) The Cloud Wars: $100+ billion at stake, Merrill Lynch Research note
13 Enterprise Cloud Computing Cloud Computing Software Hadoop, 3Tera, Xen, VMware, NexR VCC, IBM Blue Cloud, etc S13 Classifying Cloud Computing Cloud Services/Applications (Software as a Service) Apple MobileMe, Google Apps, Nokia Ovi, Salesforce.com Apps, etc Cloud Platform (Platform as a Service) Google App Engine, force.com, Facebook F8, Bungee Labs, etc Cloud Infrastructure (Infrastructure as a Service) Amazon S3&EC2, Joyent, GoGrid, AT&T, etc
14 S14 Cloud Infrastructure Definition Offering virtualized infrastructure resources such as storage, compute, and network, over Intenet for services and apps
15 Players: Cloud Infrastructure S15
16 Case Study: Amazon Web S16 Services The First & Best Cloud Computing Data as a Service People as as Service E-Commerce Service Historical Pricing Mechanical Turk Search as a Service Alexa Web Info. Service Alexa Top Sites Alexa Site Thumbnail Alexa Web Search Platform Infrastructure as a Service Simple Queue Service Simple Storage Service Elastic Compute Cloud Simple DB Cloud Infrastructure
17 S17 Amazon Cloud Infrastructure S3 $0.15 per GB-Month EC2 $0.10 per Instance-Hour SimpleDB $1.50 per GB-Month
18 S18 Why Amazon AWS? online video mixing utility 25,000 to 250,000 users in 3 days At peak, 20,000 new users per hour 50 to 4000 instances (servers) in 5 days At peak, 40 new instances (servers) per hour
19 S19 Success Story: NY Times Image Processing at New York Times Convert 11 million articles ( ) of TIFF format into PDF Using Amazon S3 and EC2 for HW, Hadoop for SW TIFF format (
20 S20 NY Times Architecture Amazon S3 TIFF Image (4TB) PDF (1.5TB) AMI Hadoop MapReduce Amazon EC2 (100 instances)
21 S21 NY Times Cost Storage: 5.5 TB Data Transfer-in: 4 TB S3 Instances: 100 X 24 hours EC2 Only $ 1,465 Actually under $ 400
22 S22 Cloud Platform (PaaS) Definition Platform offering all of the facilities required to support the end-to-end life cycle of building and delivering web applications and services entirely available from the Internet - with no software downloads or installation for developers (from Platform as a service, Wikipedia) Also known as Cloudware Supporting functions Workflow management Design development testing deployment hosting maintenance Development tool Web GUI, Client SDK, Team collaboration, version control, developer community facilitation Cloud infrastructure Storage, computation, persistence, state management, scalability, web service integration, database integration, security
23 Players: Cloud Platform S23
24 Case Study: S24 Google App Engine Run your web applications on Google's infrastructure Offering infrastructure free 500MB Storage, 10 GB Bandwidth In&Out/day, 5 million PV/1 month Offering python development environment
25 S25 Google App Engine 1.Scalable Service Infrastructure 2. Python Runtime and APIs 3. Software Development Kit 4. Web-based Admin Console 5. Scalable Datastore
26 S26 Scalable Service Infra Services Services Services Services Python Runtime: Service Execution Bigtable: Distributed Data Store GFS: Distributed File System Commodity PC Cluster
27 S27 Software Development Kit App Engine SDK Deploy Web Server Uploader Python Framework webapp, Django API local version datastore Google Acount URL Fetch Mail Development, Testing
28 App Engine APIs S28
29 S29 Scalable Datastore Datastore Model Class GQL Query
30 Web-based Admin Console S30
31 Code: Using webapp S31 helloworld.py framework from google.appengine.ext import webapp from google.appengine.ext.webapp.util import run_wsgi_app class MainPage(webapp.RequestHandler): def get(self): self.response.headers['content-type'] = 'text/plain' self.response.out.write('hello, webapp World!') application = webapp.wsgiapplication( [('/', MainPage)], debug=true) app.yaml application: helloworld version: 1 runtime: python api_version: 1 handlers: - url: /.* script: helloworld.py def main(): run_wsgi_app(application) if name == " main ": main() Testing the app google_appengine/dev_appserver.py helloworld/
32 S32 Code: Using User Service helloworld.py from google.appengine.api import users from google.appengine.ext import webapp from google.appengine.ext.webapp.util import run_wsgi_app class MainPage(webapp.RequestHandler): def get(self): user = users.get_current_user() if user: self.response.headers['content-type'] = 'text/plain' self.response.out.write('hello, ' + user.nickname()) else: self.redirect(users.create_login_url(self.request.uri)) application = webapp.wsgiapplication( [('/', MainPage)], debug=true) def main(): run_wsgi_app(application) if name == " main ": main()
33 S33 Code: Using Datastore helloworld.py from google.appengine.ext import db class Greeting(db.Model): // defining data model author = db.userproperty() content = db.stringproperty(multiline=true) date = db.datetimeproperty(auto_now_add=true) class Guestbook(webapp.RequestHandler): def post(self): greeting = Greeting() if users.get_current_user(): greeting.author = users.get_current_user() // storing data greeting.content = self.request.get('content') greeting.put() self.redirect('/') class MainPage(webapp.RequestHandler): // querying data def get(self): greetings = db.gqlquery("select * FROM Greeting ORDER BY date DESC LIMIT 10") for greeting in greetings: if greeting.author:
34 S34 Code: Uploading the App Registering the app 1. Signing in to App Engine: 2. Creating an App Uploading the app appcfg.py update helloworld/
35 S35 Cloud Software Definition Software to help building and running cloud computing service and environment There are too many softwares Especially, open source cloud software LAMP, Hadoop
36 S36 Case Study: Hadoop Nutch: Open Source Search Engine MapReduce: Distributed Data Processing HBase: Distributed Data Store HDFS: Distributed File System Google Search MapReduce Bigtable GFS Commodity PC Cluster Google Platform
37 Hadoop Ecosystem S37 - Power of Open Platform NexR VCC Hadoop on Virtualization? Cascading Workflow management for Hadoop MapReduce Yahoo Pig Query Language Interface on Hadoop Yahoo Zookeeper Distributed Management IBM MapReduce Tools Eclipse plug-in for MapReduce programs HDFS, MapReduce HBase, HOD, Streaming, Fuse-DFS, EC2 Support Facebook Hive Data warehousing on Hadoop Parhely ORM for HBase Katta Distributed indexing with Hadoop Mahout & Hama Machine Learning using Hadoop MapReduce
38 S38 Case Study: NexR VCC The first server virtualization tool in Korea Features Xen-based (paravirtualization & HVM) Web-based AJAX Interface Multiple Virtual Clusters Allocated virtual clusters(vc) to teams Each team can manage their VC Automatic Hadoop Deployment & Execution User/Group Management VM Image Store VM Migration Web Services API
39 S39 VCC: Hadoop on Virtualization Auto-Deployment & Execution Integration with Hadoop management
40 S40 Caution Be practical!
41 S41 Key Issues To Overcome - From Forrester Report Concerns about stability Few big-name players offering clouds Few enterprise reference accounts Concerns around security Lack of commercial ISV support Little geographic locality Not for the faint-of-tech Not very enterprise friendly
42 S42 Key Issues To Overcome - Others Integration with in-house systems Application licensing complexity Privacy Constant network connectivity Confidence to service providers Open standard Interoperability between services
43 Cloud Computing Incidents S43 Database CloudComputing:Incidents Database, Wikipedia
44 S44 Outage of Cloud Computing Amazon S3 Outage 8 hours in July 20, 2008 (Affected: all) Cause: Design fault (server-to-server communication) Flexiscale Outage 2 days in August 26, 2008 (Affected: all) Cause: Engineer mistake Gmail Outage 2 hours in August 11, 2008 (Affected: many) Cause: Change management Apple MobileMe Outage Several hours in July 10, 2008 (Affected: many) Cause: Migration from.mac to MobileMe CloudComputing:Incidents Database, Wikipedia
45 S45 Closure of Cloud Computing MediaMax/Linkup Cloud storage service Data loss of half of user files in July ,000 paid users are affected Finally, service closure in July 2008 Zimki Early cloud platform service (from 2006) Service closure in December 2007 Caused by the cease of investment CloudComputing:Incidents Database, Wikipedia TheRegister
46 S46 Where is Cloud Computing? More political & psychological than technical
47 S47 Thank You!!! Slide Download Korea Hadoop Community
한재선 KAIST 정보미디어경영대학원겸직교수 & NexR 대표이사
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