Some contributions to the management of data in grids Lionel Brunie National Institute of Applied Science (INSA) LIRIS Laboratory/DRIM Team – UMR CNRS.
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Presentation on theme: "Some contributions to the management of data in grids Lionel Brunie National Institute of Applied Science (INSA) LIRIS Laboratory/DRIM Team – UMR CNRS."— Presentation transcript:
Some contributions to the management of data in grids Lionel Brunie National Institute of Applied Science (INSA) LIRIS Laboratory/DRIM Team – UMR CNRS 5205 Lyon, France http://liris.cnrs.fr/lionel.brunie
5 Management of a Cooperative Cache in Grids cache organization GRID data organization data Collective Coordinator Monitoring operations data description processed requests transfers replacements used storage resource Etc. Management operations Set replacement method Set default time to live Set cache group Set cache coordinator Set collective work mode Etc.
12 Access Control for mobile users Chains of trust certificates: if A trusts B and B trusts C then A trusts C… to some level Multi-layered adaptive certificates Trust computing and reputation
13 Authentication and Trust in pervasive systems
14 Mobile requests Information exchange between mobile peers (MANETs, VANETs) Trajectory aware geocast request routing Construction for each query of an ad hoc overlay of the peers that may participate to the delivery of the requested data
15 Data replication in small worlds Server Original content
16 Replication in ad hoc networks Issues: instability, dynamicity, faults/disconnections Basic idea: adapt the replication heuristics to the actual usage of the data, e.g.: –Data highly accessed => replicate –Rare data and planned disconnection => replicate –Overloaded peer => replicate most accessed data –Etc. Pre-requisite: access logging + exchange of access data Assumption: no central coordination – local decisions Question : can local decisions lead to an acceptable (good ?) situation ?
17 Interface adaptation and context-aware browsing of a patient medical record
18 Multimedia Content Adaptation + Adaptation of the interface wrt the end-user device Ongoing : Content Adaptation in MANETs
19 Semantic protection of multimedia data Multimedia => access control is not a binary decision Access control content adaptation Coherence/Consistence of an adaptation Legality of an adaptation => Access control = semantic adaptation decision
20 Semantic clustering of multimedia queries: From query logging to database content and user profile discovery Large number of data stores disseminated Lack of indexes Issues : –What are the pertinent/interesting data ? –What are the users interest ? –How to process a query ? Logging of the users’ queries + clustering + communication of clustering info => identification of the community of users’ interests Logging of a the queries issued by a specific user + matching to the community clustering => identification of the user’s profile Usage: query optimization, data store management, recommendation, social computing, etc.