1. © 2011 IBM Corporation 1 (ENSUREing we can) Ride the Wave (on a Cloud) Presenter: Michael Factor, Ph.D. IBM Research – Haifa factor@il.ibm.com

2. © 2011 IBM Corporation 2 Riding the Wave – Some Challenges  The amount of data –ESA estimates of 20PB archive in 2020 –Large Hadron Collider will produce roughly 15PB annually –North American Health Care research data is estimated to surpass 136PB in 2015; EHRs and imaging data will add 9.7EBs  How will we access this data?  How will we preserve this data?  How will we ensure its integrity, provenance, context, etc.?  How will we ensure data privacy?  How will we pay for this?

3. © 2011 IBM Corporation 3 What is a cloud and why is it interesting? “Cloud computing is a model for enabling convenient, on-demand 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.” –US National Institute of Standards and Technology, Information Technology Laboratory Key features:  On-demand  Shared  Automated  Network access Benefits  Cost Savings –Economies of scale, utilization improvement and standardization  Speed and Agility  Pay-as-you-go for usage Investment per GB vs. Quantity of Information

4. © 2011 IBM Corporation 4 Source:”Cloud will Transform Business as We Know It: The Secret’s in the Source”, Hfs Research, and the London School of Economics, December, 2010 How Much of a Concern are the Following Business Risks Posed by Cloud Business Services to your Business Function, Compared to Your Existing Risks for Non-Cloud Business Services? Security, privacy, lack of control in data placement, lock-in and compliance are key concerns with cloud

5. © 2011 IBM Corporation 5 Five cloud delivery models Fixed priceFixed price or pay as you go Controlled sharing Fixed price or pay as you go VPN access or public internet Elastic scaling through sharing Pay as you go Public internet Enterprise Data Center Private Cloud Enterprise Data Center IBM operated Managed Private Cloud IBM owned and operated Hosted Private Cloud User A User BUser C User D User E Public Cloud Services 1235 Enterprise A Enterprise B Enterprise C Shared Cloud Services 4 PrivateCommunityPublic Private network Dedicated assets

6. © 2011 IBM Corporation 6 Enabling kNowledge Sustainability, Usability and Recovery for Economic value 3 4 INNOVATIONSUSE CASES Healthcare Clinical Studies Financial Services EVALUATE Cost and Value AUTOMATE Preservation Lifecycle PROTECT Content-aware data protection SCALE using ICT innovations A 3-year IP project started Feb 2011 www.ensure-fp7.eu

7. © 2011 IBM Corporation 7 ENSURE Healthcare Use Case Images and diagnosis Configure system Transformation and fixity Lifecycle management Data protection Search and extraction Audit

8. © 2011 IBM Corporation 8 A Configurator optimizes a Preservation Solution taking into acount cost/risk, economic performance and quality Cost/risk Engine Economic Performance Engine Quality Engine Preservation Plan Optimizer Configurator Runs before initial deployment and re-executes periodically Reacts to changes in the environment and requirements Enables deploying a solution that optimies cost/benefit

9. © 2011 IBM Corporation 9 Benefits and issues in using a cloud model for digital preservation The Benefits of Clouds: Scalable in number of objects and size of data Pay-as-you-go Sharing across geographic domains – available anywhere Cloud Technology Requirements –Multi-cloud support (export, replication) –Programmatic visibility (SLAs, events) –Computation near data –Integration with lifecycle management –Virtual Appliance (VA) management Cloud Security and Integrity Requirements –Support for object provenance, certification, auditing, … –Advanced integrity services –Trust over time –Changes over time 9

10. © 2011 IBM Corporation 10 Preservation DataStores in the Cloud building on work from CASPAR is mapping OAIS to a cloud  Map OAIS AIP and the links among AIPs to the cloud data model  Manage object’s inter-relationship and referential integrity  Offload computation to the cloud

11. © 2011 IBM Corporation 11 ENSURE’s Content Aware Data Protection component will address issues of IP and Privacy in the context of information which must be accessed over decades.  Allow only authorized users to access data even if user identities change  Reflect changes in what constitutes personally identifiable information or intellectual property to ensure compliance over time  Ensure that de-identification technologies used are appropriate at the time of access  Use existing, standard mechanisms that decouple security management from policy and extend with changes over time DiCOM tag (0010,1040) [Patient’s Address] Administrative Data Policy: Researchers must not be able to access administrative data

12. © 2011 IBM Corporation 12 Riding the Wave – A Recap on the Challenges  The amount of data  How will we preserve this data?  How will we ensure its integrity, provenance, context, etc.?  How will we ensure data privacy?  How will we pay for this?  ENSURE and other EU FP7 projects are addressing these challenges –Cloud delivery models hold for much promise to enable meeting these objectives but much work remains to be done

13. © 2011 IBM Corporation 13

14. © 2011 IBM Corporation 14 Storage Service N ENSURE Architecture Storage Service 1 Storage Service 2 Information Preparation Ingest Access ENSURE Preservation Runtime Preservation Digital Asset Lifecycle Mgmt Content-Aware Long-Term Data Protection Preservation Runtime Infrastructure Preservation-aware Storage Services User System Runtime Configuration Selection Administrator Requirements ConfigurationLayer Configurator Preservation Plan Optimizer Cost/Risk Evaluation Economic Performance Evaluation Quality Evaluation Preservation Plan

15. © 2011 IBM Corporation 15  Goal –Architect and implement an infrastructure for the reliable and effective delivery of data-intensive storage services, facilitating the convergence of ICT, media and telecommunications  Innovations –Raise Abstraction Level of Storage: objects with user- and system- defined metadata –Computational Storage: technology for specifying/executing computations close to storage –Content-Centric Storage: facilitate access to data by content and its relationships –Advanced Capabilities for Cloud-based Storage: support delivery of data-intensive services securely, at the desired QoS, at competitive costs –Data Mobility and Federation: enable comprehensive data migration and interoperability across remote locations  Facts: –A 3-year project, started Oct 2010 –www.visioncloud.eu VISION Cloud: Virtualized Storage Services Foundation for the Future Internet