spatial cloud computing: usage in geo-spatial sciences
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Spatial Cloud Computing: Usage in Geo-Spatial Sciences. Topics. Problem Statement Define the problem Significance in context of the course Key Concepts Cloud Computing Spatial Cloud Computing Major Contributions of the paper Most significant - Why Preserve and Revise. - PowerPoint PPT PresentationTRANSCRIPT
Spatial Cloud Computing:Usage in Geo-Spatial Sciences
TopicsProblem Statement
Define the problemSignificance in context of the course
Key ConceptsCloud ComputingSpatial Cloud Computing
Major Contributions of the paper Most significant - Why
Preserve and Revise
Problem StatementUse of Cloud Computing to support the
intensities of geospatial sciencesReason for need of platform like Cloud ComputingWhat is Cloud Computing?Spatial Cloud Computing (SCC)SCC Scenarios/ExamplesOpportunities & Challenges
Cloud computing has been one of the most advancing technologies recently. Utilizing it in the context of Geo-Spatial sciences can prove to be very useful.
Cloud ComputingAdvancement of Distributed Computing
Provides ‘computer as a service’ for end users In ‘pay-as-you-go’ model
Model:Enables convenient, on-demand network access to
a shared pool of configurable computing resources Ex: networks, servers, storage, applications and
servicesResources can be rapidly provisioned and released
With minimal management effort Or with Service provider interaction
Services for Cloud ComputingCloud Computing is provided through 4
servicesInfrastructure as a Service (IaaS) – Amazon
EC2Platform as a Service (PaaS) – MS Azure,
Google AppsSoftware as a Service (SaaS) – Salesforce.comData as a Service (DaaS) For Geospatial
SciencesHadoop & Map Reduce can also be used
Uses of Cloud ServicesEarth Observation (EO) Data Access:
DaaS is used for fast, secure access & utilization of EO data
DaaS also provides the needed Storage & Processing needs
Model: IaaS gives full control of computing instancesBut has network bottlenecksCloud computing can be used in complement to solve
computing intensive problemsKnowledge & Decision Support:
Used by domain experts, managers or publicSaaS provides good support
Social Impact & Feedback:SaaS such as Facebook & email can be best utilized
Characteristics of Cloud Computing5 characteristics that distinguish Cloud Computing
from other distributed computing paradigmsOn-Demand Self Service
For customers as needed automaticallyBroad Network Access
For different types of network terminalsResource Pooling
For consolidation of diff. types of Computing resourcesRapid Elasticity
For rapidly and elastically provisioning, allocating, and releasing computing resources
Measured Service To support pay-as-you-go approach
Spatial Cloud ComputingOperation of geospatial applications on cloud
computing environmentsCloud computing
Helps geospatial sciencesCan be optimized with Spatiotemporal
principles Best utilize available distributed computing
resourcesGeospatial Science Problems
Have intensive Spatiotemporal constraints & Principles
Best enabled if we consider general spatiotemporal rules for geospatial domains
Spatial Cloud Computing Framework
SCC Scenarios 4 scenarios given for 4 intensity problems.
An Example in the PPT.Data Intensity Scenario:
Data Intensity issues in Geospatial sciences characterized by 3 aspects
Multi-Dimensional Massiveness Globally distributed-organizations with data
holdings are distributed over entire earthLarge volumes of data transferred
Over fast computer networks Or collocated with processing to minimize
transmitting
Data Intensity scenario solution:Developing DaaS
Distributed inventory and portal based on SCC To enable discoverability, accessibility & utilizability
of geospatial data Stores millions to billions of metadata entries
With data locations & performance awareness Developed & Tested based on Microsoft Azure,
Amazon EC2 & NASA Cloud Services
Opportunities & ChallengesThe grand challenges along 4 intensity
problems can be solved by latest advancements in cloud computing
Opportunities:Spatiotemporal principle mining & extractingImportant digital earth & complex geospatial
science and applicationsSupporting the SCC characteristicsSecurityCitizen and Social Science
Major Contributions & SignificantCategorization of grand challenges of
Geospatial Sciences in 21st centuryGood Explanations of Cloud Computing and
Spatial Cloud Computing with examplesInsight with examples into how cloud
computing can solve 4 intensity problems Most Significant Looks ahead to see possible solutions for intensity
problems
Preserve & ReviseRevise
Whole paper along recent advancements in cloud computing
Examples of SCC scenarios
PreserveInitial different kinds of intensity definitionsCloud Computing & SCC key concepts
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