KnowARC objectives & challenges Balázs Kónya/Lund University Oslo, 1 st KnowARC Conference

2 Overview of the KnowARC Project Experienced middleware developers Existing ARC middleware Industry, academia application developers

3 Objectives develop a next generation grid solution based on the ARC software  moving ARC to SOA  achieving industrial quality  standards conformance, interoperability, reliable solution  not to undermine existing functionality and capabilities of current ARC  significant awareness and use of next generation ARC

4 SubObjectives: the details Create a novel, powerful next generation Grid middleware  innovative core services and their interfaces  cross platform environments by means of virtualisation and sandboxing  non-intrusive, low-maintenance  implement knowhow-sharing services  intelligent user interfaces

5 SubObjectives: the details Promote standardization & interoperability  abstraction layers and gateways for interoperability  identification and incorporation of standards: standards conforming solution  contribution to standardization

6 SubObjectives: the details Contribute to Grid technology take-up  promoting grid-bases methods in the field of partners expertise  researching applicability of current Grid practices  providing KnowARC on popular platforms Windows and Mac OS-X clients KnowARC distributed with one of the standard Linuxes Server components on Solaris and Mac OS-X

7 Research Challenges Core Middleware development  Usability issues for non-expert users, low operational costs  Security concerns in sensitive fields  Working in the era of volatile/emerging standards  Proper public interfaces Higher level services  Flexibility, fault-tolerance, scalability, dynamic systems:  Storage  Job migration, brokering, job management  Automated provision of runtime environments  Novel resource discovery, advanced brokering  Accounting  Integration of Grid-services with Workflow-technology  Taverna,  Workflows in automotive industry Complex Grid-services for applications  Bioinformatics: Autoimmune Diseases  Medical Informatics: Lung Diseases  Automotive industry