Introduction to cloud computing

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Introduction to cloud computing

• Jiaheng Lu
• Department of Computer Science
• Renmin University of China
• www.jiahenglu.net

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Course purpose

• Teach in English
• Introduce students some basic knowledge about
  cloud computing

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Course contents

• Basic knowledge
• Google , Yahoo! , Amazon cloud technology
• Hadoop Mapreduce Practice

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Lecturer Academic experience

• 2006.9 2008.6 University of California, Irvine,
  Postdoc researcher
• 2002.8 2006.8 National University of Singapore,
  PhD candidate
• 1998.9 2001.1 Shanghai Jiao Tong University
  Master candidate

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University of California, Irvine
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Research in Postdoc
Data integration in medical system US patent
Approximate string search ICDE08
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National University of Singapore
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Course grading

• Hadoop code writing (Java) 40
• In-class presence and quiz 30
• Final presentation 30

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Teaching assistant

• Cheng ming
• Email
• Any problem about Hadoop java codes, you may
  email him.

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Any question and any comments ?
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Cloud computing

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Why we use cloud computing?
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Why we use cloud computing?

• Case 1
• Write a file
• Save
• Computer down, file is lost
• Files are always stored in cloud, never lost

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Why we use cloud computing?

• Case 2
• Use IE --- download, install, use
• Use QQ --- download, install, use
• Use C --- download, install, use
• Get the serve from the cloud

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What is cloud and cloud computing?

• Cloud
• Demand resources or services over Internet
• scale and reliability of a data center.

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What is cloud and cloud computing?

• Cloud computing is a style of computing in
  which dynamically scalable and often virtualized
  resources are provided as a serve over the
  Internet.
• Users need not have knowledge of, expertise in,
  or control over the technology infrastructure in
  the "cloud" that supports them.

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The architecture of cloud computing system
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What is cloud computing

• Video
• http//v.youku.com/v_show/id_XMTYxODA1MjE2.html

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Characteristics of cloud computing

• Virtual.
• software, databases, Web servers,
  operating systems, storage and networking as
  virtual servers.
• On demand.
• add and subtract processors, memory, network
  bandwidth, storage.

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Types of cloud service
SaaS Software as a Service
PaaS Platform as a Service
IaaS Infrastructure as a Service
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SaaS

• Software delivery model
• No hardware or software to manage
• Service delivered through a browser
• Customers use the service on demand
• Instant Scalability

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SaaS

• Examples
• Your current CRM package is not managing the load
  or you simply dont want to host it in-house. Use
  a SaaS provider such as Salesforce.com
• Your email is hosted on an exchange server in
  your office and it is very slow. Outsource this
  using Hosted Exchange.

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PaaS

• Platform delivery model
• Platforms are built upon Infrastructure, which is
  expensive
• Estimating demand is not a science!
• Platform management is not fun!

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PaaS

• Examples
• You need to host a large file (5Mb) on your
  website and make it available for 35,000 users
  for only two months duration. Use Cloud Front
  from Amazon.
• You want to start storage services on your
  network for a large number of files and you do
  not have the storage capacityuse Amazon S3.

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IaaS

• Computer infrastructure delivery model
• A platform virtualization environment
• Computing resources, such as storing and
  processing capacity.
• Virtualization taken a step further

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IaaS

• Examples
• You want to run a batch job but you dont have
  the infrastructure necessary to run it in a
  timely manner. Use Amazon EC2.
• You want to host a website, but only for a few
  days. Use Flexiscale.

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Cloud computing and other computing techniques

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Grid Computing Cloud Computing

• share a lot commonality
• intention, architecture and technology
• Difference
• programming model, business model, compute
  model, applications, and Virtualization.

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Grid Computing Cloud Computing

• the problems are mostly the same
• manage large facilities
• define methods by which consumers discover,
  request and use resources provided by the central
  facilities
• implement the often highly parallel computations
  that execute on those resources.

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Grid Computing Cloud Computing

• Virtualization
• Grid
• do not rely on virtualization as much as Clouds
  do, each individual organization maintain full
  control of their resources
• Cloud
• an indispensable ingredient for almost every Cloud

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Any question and any comments ?
2013-11-14
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Distributed system

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A distributed system
B
A
C
D
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client-server system
Client
Client
Client
Server
Client
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multiple servers
Server
Server
Server
Server
Server
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Applications

• Amazon
• Google
• Airline reservation systems
• Finance e-transactions, e-banking,
  stock-exchange
• Military

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Why distributed systems?
What are the advantages?
distributed vs centralized? multi-server vs
client-server?
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Why distributed systems?
What are the advantages?
distributed vs centralized? multi-server vs
client-server?

• Geography
• Concurrency gt Speed
• High-availability (if failures occur).

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Why not distributed systems?
What are the disadvantages?
distributed vs centralized? multi-server vs
client-server?
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Why not distributed systems?
What are the disadvantages?
distributed vs centralized? multi-server vs
client-server?

• Expensive (to have redundancy)
• Concurrency gt Interleaving gt Bugs
• Failures lead to incorrectness.

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References

• http//www.cloudcomputing-china.cn/
• http//dotnetslackers.com/articles/sql/Introductio
  n-to-Cloud-Computing.aspx
• http//www.hudong.com/wiki/E4BA91E5AE89E58
  5A8
• http//en.wikipedia.org/wiki/Cloud_computing

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QA Thanks