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GIS and Cloud Computing

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GIS and Cloud Computing * * * * * ArcGIS Mobile Extend ArcGIS to iPads and iPhones Access GIS data on mobile devices Collect and edit GIS data on using GPS in mobile ... – PowerPoint PPT presentation

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Title: GIS and Cloud Computing


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GIS and Cloud Computing
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Flickr
  • Upload and manage your photos online
  • Share your photos with your family and friends
  • Post your photos everywhere on the web

http//www.flickr.com/tour/
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..
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Cloud Computing
  • A new trend in information technology, moving
    software from personal computers to the Internet
  • Put data and software, which are used to be on
    personal computers, to a giant centralized
    computer system. This form is called cloud
    computing. The centralized system is called a
    cloud system

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  • You rent cloud services (e.g. photo editing,
    managing, and sharing) from these systems, the
    same way as you rent textbooks from bookstores
  • Cloud services is the use of computer resources
    in cloud systems

Users
Power Plants
Power Grids
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  • A cloud system comprises three kinds of
    resources
  • - Software
  • - Platform
  • - Infrastructure

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  • Popular cloud systems include Flickr, Google
    Docs, and Amazon Cloud Drive. They perform the
    functions that were traditionally done with
    software installed on personal computers

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Google Docs
  • A cloud-based online office
  • Allow you to create, edit, and share documents
    online using web browsers, iPads or even smart
    phones

https//docs.google.com/demo/edit?idscAAVln2yf3it
2VCiVf-DUzGgdtdocumentdocument
11
Amazon Cloud Drive
  • Amazon Cloud Drive is an personal hard drive in a
    cloud system
  • Store music, videos, photos, and documents on
    Amazon's servers

https//www.amazon.com/clouddrive
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Siri
  • A personal assistant app comes with iPhone 4S.
    You can use your voice to send messages, schedule
    meetings and place phone calls

http//www.apple.com/iphone/features/siri.html
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..
Digital file
Voice
Voice
Instructions
Cloud Servers
http//www.apple.com/iphone/features/siri.html
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History of Cloud Computing
  • The term "cloud" is used as a metaphor for the
    Internet, based on the cloud drawing used in the
    past to represent the telephone network
  • http//www.gartner.com/it/page.jsp?id707508

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  • The concept of cloud computing dates back to
    1961, when Prof. John MacCarthy predicted that
    computation may someday be organized as a public
    utility.
  • http//www.complush.com/internet-network-conn
    ection/
  • In 1991, Salesforce.com, one of the first movers
    in cloud computing, introduced the concept of
    delivering enterprise applications via a simple
    website

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  • In 2002, Amazon Web Service was launched
  • Google brought cloud computing to the forefront
    of public consciousness by introducing Google
    Docs in 2006
  • http//www.cloudtweaks.com/2011/02/a-history-o
    f-cloud-computing/

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  • In the following years, IBM, Microsoft, Oracle
    and a host of companies joined cloud computing

http//eatenbylinux.files.wordpress.com/2011/05/cl
oud-computing-providers.jpg
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Cloud Computing Models
  • Software as a Service (SaaS)
  • Platform as a Service (PaaS)
  • Infrastructure as a Service (IaaS)

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..
  • Software as a Service (SaS)
  • As long as Internet access is available, users
    can connect to the cloud service providers and
    use the software available on their servers,
    instead of installing and running the software on
    your own computers.
  • Examples Flickr, Google Docs, Siri, Amazon Cloud
    Drive

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  • Platform as a Service (PaaS)
  • PaaS provides application developers with a
    developing environment, with which they can
    develop and host cloud applications
  • PaaS includes software and hardware to build and
    sustain cloud applications so that developers can
    build and host applications without worrying
    about the costs and complexity of buying and
    maintaining software and hardware
  • Examples Google App Engine, Amazon Web Services

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  • Infrastructure as a Service (IaaS)
  • Cloud services offer clients with storage space,
    networking equipment and other computing
    resources. Clients are billed for the amount of
    resources they consumed
  • Developers and IT organizations do not need to
    purchase expensive computers and equipment, but
    buy computer infrastructure like utilities from
    cloud service providers (pay as you go)
  • Example Amazon Elastic Compute Cloud (EC2)

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Characteristics of Cloud Computing
  • Multi-tenancy
  • Resources in cloud systems can be shared among a
    large
  • number of users
  • Improve the efficiency of cloud systems and save
    cost for cloud service providers

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  • Scalability
  • Even when the total work load for a cloud system
    increases dramatically, the system could improve
    its capacity by adding more hardware to handle
    the increased load effectively

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  • Elasticity
  • A cloud system only delivers the minimum amount
    of computing resources that meet users need. The
    amount of resources provided to users increase
    when they need more, and decrease when they need
    less. Users only pay for whatever they consumed

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  • Device independent
  • Users can utilize cloud services using whatever
    device they have, should it be a laptop, an iPad
    or a smartphone, as long as they have access to
    the Internet

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  • Low-cost
  • Computing resources are provided by cloud
    systems. Users do not need to purchase expensive
    computers to perform tasks that need high
    performance computing
  • If you do not want to keep a book, why dont you
    rent the book from the UB bookstore or borrow one
    from the UB library? So you only spend a fraction
    of the cost of buying the book

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  • Reliability
  • Multiple redundant sites are used in cloud
    systems. There are always backups available when
    one or more sites are down

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Issues in Cloud Computing
  • Security and Privacy
  • Hackers and malicious insiders may hack into
    users cloud accounts and access sensitive data
    stored in cloud systems
  • Companies hosting cloud services have full
    control on users data. They may intentionally
    collect personal information, such as age,
    interest, and income. These information can be
    used for personalized ads

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GIS and Cloud Computing
  • You create a beautiful map using ArcGIS and would
    like to share it with your friends
  • You can definitely send it via email if the size
    of the map is small. What if your map file is
    600MB, which is too large to send via email?
  • Even if your friends get your map, do they have
    access to ArcGIS to display a shape file?
  • What are you going to do?

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  • How about using GIS services in cloud systems?
  • ArcGIS online (arcgis.com). Create or upload your
    map to ArcGIS online and share it with your
    friends with a few simple clicks.

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Why Cloud GIS?
  • Problems in GIS
  • Data intensive. The size of GIS files tends to be
    large. A single file can be hundreds of MB or
    more
  • Computation intensive. Spatial analysis, such as
    buffer and network analysis, may take an
    extensive amount of time
  • GIS software is mostly expensive. Individual
    users and small organizations can not afford
    commercial GIS software

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  • GIS in cloud systems
  • Anything that needs a large storage space or high
    performance computing can be handled easily by
    cloud systems
  • Users only pay a small amount of money for GIS
    services in cloud systems

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Example Applications
  • Google Maps
  • Powered by a cloud system, Google maps allow
    users to perform a list of tasks, such as
    exploring maps, finding places, getting
    directions and more. All these could be done with
    a web browser

http//maps.google.com/
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  • ArcGIS Mobile
  • Extend ArcGIS to iPads and iPhones
  • Access GIS data on mobile devices
  • Collect and edit GIS data on using GPS in mobile
    devices

http//www.esri.com/library/brochures/pdfs/arcgis-
for-mobile.pdf
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Research Topics in Cloud GIS
  • 1. Education or vision of spatial Cloud computing
  • 2. Cloud computing tools, methods, technologies,
    and applications
  • 3. GeoCloud and related efforts
  • 4. Cloud platform/cloud services, such as Amazon
    EC2, Microsoft Azure, and Google App Engine,
    related research and development

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  • 5. Examples of deploying geospatial applications
    onto Cloud platforms
  • 6. Studies of how to ensure and utilize the
    capacity of spatial cloud computing
  • 7. Communication and performance analysis of
    Cloud computing
  • 8. Assessment of the types of problems amenable
    to spatial Cloud computing
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