Page 222 - DCAP312_WEB_TECHNOLOGIES_II

Web Technologies-II

Notes From a more technical perspective, Web Services are XML depictions of objects, messages, and
documents designed to interact over the web to enable application integration. Web Services
applications can be published found or invoked as atom like services any where ion the internet
thus creating service grid of dynamic business components.

By providing a common interoperability layer between disparate platform, Web Services allow
companies to connect with each other based on business considerations as opposed to underlying
infrastructure requirements. The benefit will come in the form of enhanced user experience as
a much wider variety of services are offered to customers. As business begin to adopt the Web
Services scenario, whereby vendors strictly focus on their core competencies and aggregate
supplementary services. Further more one of the most attractive aspects of the Web Services is
that there is now a significant amount of additional technological investment in the application
server technology , so these companies can begin taking advantage of the Web Services today.
The advantages of using these web services include:
• A full blown SOAP Webservice allowing you to take control of the data

• The ability to search multiple websites from your company and/or its partners
• Not having to worry about indexing the content of your company’s global website(s)

• Harnessing the power of Live Search as advanced search features in your queries
• Using Virtual Earth to map out streets in your local area.
The limitations include:
A limit of 10,000 queries a day to use the service for free. (Note: Normally each page in the Grid
view Control will fire a new query even though the search query is the same. This demo makes
use of sessions to prevent this from happening.– Optional in web.config)

AWS Case Study: Harvard Medical School

he Laboratory for Personalized Medicine (LPM), of the Center for Biomedical
Informatics at Harvard Medical School, run by Dr. Peter Tonellato, took the power
Tof high throughput sequencing and biomedical data collection technologies and the
flexibility of Amazon Web Services (AWS) to develop innovative whole genome analysis
testing models in record time. “The combination of our approach to biomedical computing
and AWS allowed us to focus our time and energy on simulation development, rather than
technology, to get results quickly,” said Tonellato. “Without the benefits of AWS, we certainly
would not be as far along as we are.”
Tonellato’s lab focuses on personalized medicine—preventive healthcare for individuals
based on their genetic characteristics—by creating models and simulations to assess the
clinical value of new genetic tests.

Other projects include simulating large patient populations to aid in clinical trial simulations
and predictions. To overcome the difficulty of finding enough real patient data for modeling,
LPM creates patient avatars—literally “virtual” patients. The lab can create different sets
of avatars for different genetic tests and then replicate huge numbers of them based on the
characteristics of hospital populations. Tonellato needed to find an efficient way to manipulate
many avatars, sometimes as many as 100 million at a time.
In 2006, Tonellato turned to cloud computing to address the complex and highly variable
computational need. “I evaluated several alternatives but found nothing as flexible and robust
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