Technology Forum - Cloud Computing, Sensor Web & Big Data

Sanjay Patel
Head of Maps for
Business - EMEA
Google
UK


ABSTRACT
Google’s Geospatial Cloud Computing Platform
In our relentless pursuit to map the world, Google has spent years building the world’s largest GIS. We process petabytes of satellite and aerial imagery, render millions of map tiles on the fly daily for serving to maps.google.com and through our Maps API, and process and (after moderation) publish millions of user-submitted corrections to our basemap. Beyond the services that create our maps, we’ve also purpose-built the worlds largest geospatial global decision engine, capable of on-demand multi-spectral imagery and vector analysis -- with a goal of permitting our users to make informed decisions from Google’s mapping data.
Despite this abundance of data, the ability to store, manage, and process it as Google does has typically been the domain of large institutions, requiring specialist training and a frequently massive investment in storage and computing power. This talk will focus on several key technologies powering Google’s geospatial cloud computing platform, on how we’ve begun exposing these geospatial services for anyone to use, and will showcase several examples of customers using the services to help them solve their real-world problems.
Hans Viehmann
Product Manager EMEA
ORACLE
Germany




ABSTRACT
Using Cloud Computing to Operate a Spatial Data Infrastructure Efficiently
With the ever growing size and complexity of Spatial Data Infrastructures (SDIs) the operational aspects are having an increasing financial impact on the organizations managing the various components. This presentation will look at the benefits of consolidating data and services using a cloud computing approach and will describe best practices in the transition to a cloud-based infrastructure. Recommendations such as the consolidation of heterogeneous systems and the introduction of private clouds on specialized combinations of hard- and software ("engineered systems") will be discussed. The introduction of engineered systems will be presented in more detail using experience from implementations such as the MAF/TIGER environment at the US Census Bureau. As the consolidation of the different types of geospatial data, such as 3-dimensional terrain or city models, point clouds or raster data as well as the integration of semantic query capabilities into the data management layer also has a positive effect on operational cost, this should be included in the systems consolidation. Again, different scenarios will be presented along with practical use cases.
Dr. Manfred Krischke
CEO
CloudEO AG
Germany




ABSTRACT
CloudEO - The Paradigm Change for a New Cloud Based Open Geo-Services Marketplace
The current GEO - and specifically the remote-sensing industry - addresses only a small percentage of the possible commercial market for Geodata. The reasons are high upfront cost for data, software and infrastructure before any Geoservices can be developed.  Small entities are completely excluded due to these huge upfront investments. CloudEO is establishing a new cloud based market place for geo-services and will remove these barriers for a large number of services thus enabling the thousands of small think-tank companies - currently mainly living on research funds and stuck in project based day to day work - to enter the commercial Geomarket and generate with their expertise a rapidly growing revenue stream in a product oriented business. The current service provider benefit as well. CloudEO offers for them a highly scalable cloud based production platform and easier and cost efficient access to comprehensive data and software offering. A second severe limitation for market growth is the complex process of profitable value adding. CloudEO will make it technically possible to modularize the process and enable IT- developers to create business by providing process modules. Similar to the way the assembly line work enabled the industrial revolution, this modularization of the value adding process with standardized interfaces and the adapted business model of CloudEO will stimulate a disruptive market growth.