High energy & nuclear physics

Alternative

• Encrypted indexes, use of views, proxies

Mediation

• No single view of the world  mechanisms for interoperability, ontologies

Negotiation: a key open issue

Motivation

• Motivation

• collaborative caching is proved to be efficient
• each institution wants to control the access to its data
• no standard exists in Grids for caching

• A possible approach

• on-demand caching
• a two-level cache: local caches and a global virtual cache
• use metadata to collaborate / index data

New wine in old bottles?

• New wine in old bottles?

• Yes and no:

• The problem has not changed
• But the operational context has dramatically changed
• => classical heuristics and methods are not more pertinent

• Key issues

• Dynamicity
• Unpredictability
• Adaptability
• Security

• Very few works have specifically addressed this problem

Used resources may be extremely valuable & the problems to be solved extremely sensitive

• Used resources may be extremely valuable & the problems to be solved extremely sensitive

• Resources are located in distinct administrative domains

• Each resource has its own policies & procedures

• Users are diverse

• The set of resources used by a single computation may be large, dynamic, and/or unpredictable

• Not just client/server

• The security service must be broadly available & applicable

• Standard, well-tested, well-understood protocols
• Integration with wide variety of tools

Authentication

• Authentication

• Authorization and Delegation of Authority

• Assurance

• Accounting

• Auditing and Monitoring

• Traceability

• Integrity and Confidentiality (ACID Properties)

Biomedical applications are perfect candidates for gridification:

• Biomedical applications are perfect candidates for gridification:

• Huge volumes of data (an hospital = several TB per year)
• Dissemination of data
• Collaborative work (health networks)
• Very hard requirements (e.g. response time)

• But

• Partially structured semantic data
• Very strong privacy issues
• → a perfect play field for researchers !

Dissemination of new “high bandwidth” technologies in genome and proteome research (e.g. micro-arrays)

• Dissemination of new “high bandwidth” technologies in genome and proteome research (e.g. micro-arrays)

• huge volume of structural (gene localization)
• functional (gene expression) data

• Generalization of digital patient files and digital medical images

• Implementation of (regional and inter-national) health networks

• All information is available, people are connected to the network.

• The question is: How can we use it ?

Need for an information infrastructure to

• Need for an information infrastructure to

• index, exchange/share, process all this data
• while preserving their privacy at a very large scale

• That is... just a good grid!

• Application objectives:

• correlation of genomic and medical data: fundamental research and later medical decision making process
• patient-centered medical data integration: patient’s monitoring in and out-side the hospital
• epidemiology
• Training

• References: “Synergy between medical informatics and bioinformatics: facilitating genomic medicines for future healthcare”,

• BIOINFOMED Working Group, Jan. 2003, European Commission
• Proceedings of Healthgrid conferences (1st edition in Lyon(2003))

“The goal of the GGM project is, on top of a grid infrastructure, to propose a software architecture able to manage heterogeneous and dynamic data stored in distributed warehouses for intensive analysis and processing purposes.”

• “The goal of the GGM project is, on top of a grid infrastructure, to propose a software architecture able to manage heterogeneous and dynamic data stored in distributed warehouses for intensive analysis and processing purposes.”

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