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Zhitong Fei
Computer Science & Engineering Department
The University of Connecticut
CSE5810: Introduction to Biomedical Informatics
Professor: Steven A. Demurjian’s

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1. Introduction
2 Background and Motivation
3 Big Data for Biomedical Informatics
4 Information Security and Privacy
5 Conclusion

Introduction
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What is “Cloud Computing”?
A model for enabling ubiquitous, convenient, on-demand access to a shared pool of configurable computing resources.
To provide virtualized IT resources as cloud services by using the Internet technology.
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Current Situation in Health Care (IOM 2005):
Limited collaboration, coordination in Health Care.
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Outcome (IOM 2007):
High costs and inefficient patient treatment.
Medical errors and increased adverse drug events.
Redundancy of clinical data and medical actions.
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Introduction
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 Why Cloud
 Resource outsourcing, utility computing, Large numbers of machines, automated resource management, virtualization and parallel computing.
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A style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.
High-Performance Computing(HPC)
Lower cost
Virtualization technology
Parallel characteristics
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 Cloud Computing components
 cloud infrastructure, cloud platform and cloud application
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Background & Motivation
Classic Cloud architecture
 Elastic Compute Cloud (EC2), Simple Storage
Service (S3), and Simple Queue Service (SQS).
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Background & Motivation
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 Cost
 Efficient, Economical, variable cost basis
An comparison experiment :
Amazon cloud vs Local Compute Cluster
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Background & Motivation
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o substantial delay required to purchase and install a local cluster was not taken into account.
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Big Data for Biomedical Informatics
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Big Data for Biomedical Informatics
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 Big Data: Why Bother?
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“Big data are data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it.”
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Big Data for Biomedical Informatics
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 Biomedical Informatics
 Genomics, Proteomics, Metabolomics
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Eg. 1000 Genomes Project, up to 200 terabytes.
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Imaging informatics: at the level of tissues and organs
Breakthroughs in diagnosis, prognosis, and highquality healthcare
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Big Data for Biomedical Informatics
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 Cloud Computing and Big Data technologies
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Cloud storages allow large-scale
Virtualisation technology -- Virtual machine
A Hypervisor, a virtualisation management layer
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Big Data for Biomedical Informatics
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 Task Scheduling for Cloud computing
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Satisfy cloud users and improve profits of cloud providers
Cluster computing: minimize the completion time
 Grid computing: improvement of specific performance metrics
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Information Security and Privacy
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Information Security and Privacy
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 Security Risks
 Access, Availability, Network load, Integrity, Data
Security, Data Location, Data Segregation.
 Authenticated users only
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Overload and High network load
Natural disasters
Flexibility and scalability
Data integrity
 Cloud Security Control
 Deterrent Controls, Prevention Controls,
Detective Controls, Corrective controls.
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Information Security and Privacy
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Information Security and Privacy
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 Additional Security in the Cloud
 Public encryption key and Private decryption key.
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Restricted users accounts
Private clouds, encrypted file systems, and encrypted data volumes
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Biomedical Informatics and Cloud Computing
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