Cloud Computing. What Are We Handing Over? Ganesh Shankar Advanced IT Core Pervasive Technology Institute

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1 Cloud Computing What Are We Handing Over? Ganesh Shankar Advanced IT Core Pervasive Technology Institute

2 Why is the Cloud Relevant to In the current research workflow. Medical Research? Data volumes are increasing exponentially Next Generation Sequencing Data storage and transport are at capacity

3 A Possible Solution Bring data and computational tools together in the cloud

4 What is it? Introduction Cloud computing is Internet-based computing, whereby shared resources, software and information are provided to computers and other devices on-demand, like the electricity grid. -Wikipedia

5 Introduction Cloud computing is a model for enabling convenient, ondemand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. This cloud model promotes availability and is composed of five essential characteristics, three service models, and four deployment models. - NIST

6 Cloud Providers and Users Cloud Provider Amazon, Google, Establishes and maintains computing infrastructure and skills eg. Google >20,000 servers/data center Large capital expense Utility pricing model Offers as a service Service as various levels IaaS, PaaS, SaaS

7 Cloud Providers and Users Cloud User Demand computing resources as needed Storage capacity Computational capacity Elastic, scalable resource Reduces need to design for peak demand Pay only for services used Reduces capital expenditure Pay as you go

8 We re Giving Up Control.Do We Really Need This?

9 Cloud Deployment Models Public Clouds Externally owned and operated resources Service offered over the public internet Private/Community Clouds Internally owned and operated resources Eucalyptus, etc. Service restricted to authorized customers eg. Group of Hospitals Hybrid clouds Private cloud interacts with & scales into public cloud

10 Levels of Service - IaaS Infrastructure as a Service(IaaS) Computing hardware, physical plant, networking, storage, VM eg. Amazon S3 & EC2 Advantage Custom development env. & applications Disadvantage Increased diligence Diag. by Burton Group

11 Levels of Service - PaaS Platform as a Service(PaaS) All resources needed to build and deploy applications eg. Jboss App. Server Advantage Custom Apps from platform Disadvantage Provider restrictions Greater diligence Diag. by Burton Group

12 Levels of Service - SaaS Software/Application as a Service(SaaS) Entire application is available on the web eg. Google Apps Advantage Least investment in technology Disadvantage Greatest dependence Little customization Diag. by Burton Group

13 Cloud Computing Advantages Defines/Optimizes IT mission What is core/strategic asset, what can be outsourced? Defers capital expenditures, other costs Increases application reliability and availability Increases application accessibility (webbased)

14 Cloud Computing Disadvantages Increases need for diligence Risks need to be properly evaluated HIPAA regulations, intellectual capital, etc. Service Level Agreement needs to be properly defined and executed Costs data upload & download, intercloud Interoperability migration between cloud vendors, PaaS dependency

15 SAAS Example IU Student IU students can use Google or Microsoft hosted accounts/apps Students are not employees Limited intellectual property, HIPAA exposure, export controls Alumni Forwarding address Avoid blacklisting (IU=spammer) 6 month transition

16 Private Cloud Example - IU Virtual Machines Backup Solutions

17 IT Production Phase Virtualize all IT supported systems eg. CAS Business Production Phase Virtualize all Business systems eg. Peoplesoft Saved 90% over traditional provisioning 2010 Private Cloud Example - IU HIPAA aligned NIST at low risk

18 Services on the Private Cloud IAAS Base VM 1 CPU, 1GB RAM, 35 GB Disk, $450/year Amazon 1 CPU, 1,7GB, 160GB Disk, $744/yr PAAS Oracle server IU Simon Cancer Center Oncore System SAAS RedCap Clinical Data Management System for IUSM

19 Enterprise System Infrastructure 250 Linux VMs 200 Windows VMs Q u a n t i t y Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Spt Oct Nov Dec Jan Feb Mar Apr May Jun

20 Private Cloud Example IU Comparison to NIST Ideal Resource Pooling ~1500 servers Rapid elasticity Half a day Measured service Broad network access IU IP address On-demand self service IT has to create instance - oversight No credit card payment

21 IU Private Cloud - Characteristics Control over restricted/protected data Cloud exists as long as IU exists Cost savings without exposure to external companies Increased responsibility 2010 Data Center What did we hand over? Nothing to any external entities

22 What are we handing over? Datasets meant to be shared (non-production) Genbank Ensemble 1000 Genomes Project Public toolsets GBrowse Galaxy UCSC Genome Browser cabig Apps

23 FISMA Compliance Submitted for GSA for approval Sept Certified July 26, 2010 Available to federal, state and local govt. agencies

24 Conclusion The data deluge is worse than we think New technical approaches are essential Balance accountability vs. technical needs, cost, strategic interests, etc. Start with resources meant to be shared Public providers might be able to step in

25 Rob Lowden Acknowledgements Director, Enterprise Infrastructure, UITS Adam Walsh Manager, Identity Management Systems, UITS Bill Barnett Senior Manager, Life Sciences, UITS