1. CSE 5810 Biomedical Informatics and Cloud Computing Zhitong Fei Computer Science & Engineering Department The University of Connecticut CSE5810: Introduction to Biomedical Informatics Professor: Steven A. Demurjian’s

2. CSE 5810 Outline 1. Introduction 2 Background and Motivation 3 Big Data for Biomedical Informatics 4 Information Security and Privacy 5 Conclusion

3. CSE 5810Introduction  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.  Current Situation in Health Care (IOM 2005):  Limited collaboration, coordination in Health Care.  Outcome (IOM 2007):  High costs and inefficient patient treatment.  Medical errors and increased adverse drug events.  Redundancy of clinical data and medical actions. 3

4. CSE 5810Introduction 4

5. Background & Motivation  Why  Why Cloud  Resource outsourcing, utility computing, Large numbers of machines, automated resource management, virtualization and parallel computing.  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 5

6. CSE 5810 Background & Motivation  Cloud Computing components  cloud infrastructure, cloud platform and cloud application 6

7. CSE 5810 Background & Motivation   Classic Cloud architecture  Elastic Compute Cloud (EC2), Simple Storage Service (S3), and Simple Queue Service (SQS). 7

8. CSE 5810 Background & Motivation  Cost  Efficient, Economical, variable cost basis 8 An comparison experiment : Amazon cloud vs Local Compute Cluster

9. CSE 5810 Background & Motivation 9 o Could not use a 3-year amortized cost estimate for the cloud-based system. o substantial delay required to purchase and install a local cluster was not taken into account.

10. CSE 5810 Big Data for Biomedical Informatics 10

11. CSE 5810 Big Data for Biomedical Informatics   Big Data: Why Bother?  “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.” 11

12. CSE 5810 Big Data for Biomedical Informatics   Biomedical Informatics  Genomics, Proteomics, Metabolomics  Eg. 1000 Genomes Project, up to 200 terabytes.  Imaging informatics: at the level of tissues and organs  Breakthroughs in diagnosis, prognosis, and high- quality healthcare 12

13. CSE 5810 Big Data for Biomedical Informatics   Cloud Computing and Big Data technologies  Cloud storages allow large-scale  Virtualisation technology -- Virtual machine  A Hypervisor, a virtualisation management layer 13

14. CSE 5810 Big Data for Biomedical Informatics   Task Scheduling for Cloud computing  Satisfy cloud users and improve profits of cloud providers  Cluster computing: minimize the completion time  Grid computing: improvement of specific performance metrics 14

15. CSE 5810 Information Security and Privacy 15

16. CSE 5810 Information Security and Privacy   Security Risks  Access, Availability, Network load, Integrity, Data Security, Data Location, Data Segregation.  Authenticated users only  Overload and High network load  Natural disasters  Flexibility and scalability  Data integrity  Cloud Security Control  Deterrent Controls, Prevention Controls, Detective Controls, Corrective controls.  Collaboration must Also Enforce RBAC 16

17. CSE 5810 Information Security and Privacy 17

18. CSE 5810 Information Security and Privacy  Additional Security in the Cloud  Public encryption key and Private decryption key.  Restricted users accounts  Private clouds, encrypted file systems, and encrypted data volumes 18

19. CSE 5810 Biomedical Informatics and Cloud Computing 19