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• W39094548 abstract "Grid Computing has become a detached research fieldin the ‘90s and since then it has been targeted by ma-ny world-wide projects. Several years ago users andcompanies having computation and data intensive app-lications looked skeptically at the forerunners of gridsolutions, who promised less execution times and easy-to-use application development environments by creat-ing a new high performance network system of intercon-nected computers from all around the world. Researchgroups were forming around specific middleware com-ponents and different research branches have grownout of the trunk. Many user groups from various research fields (bio-logy, chemistry, physics, etc.) put their trust in grids, andtoday’s usage statistics and research results show thatthey were undoubtedly right. Grid Computing is in thespotlight, several international projects aim at estab-lishing sustainable grids (CoreGRID [1], LA Grid [2],Globus [3], etc.). Nowadays research efforts are focusing on userneeds: more efficient utilization and interoperability playthe key roles. Grid resource management is probably theresearch field most affected by user demands. Thoughwell-designed, evaluated and widely used resourcebrokers have been developed, new capabilities are re-quired, such as agreement (Service Level Agreements,WS-Agreements [4]) and interoperability support. Thesetwo directions also depend on other grid middlewarecapabilities and services, and since they can hardly crossthe border of these middleware solutions, they need re-volutionary changes affecting the whole system. Solv-ing these problems is crucial for the next generation ofgrids, which should rise up from the academic to thebusiness world. To achieve this, capabilities such as advance reser-vation and co-allocation need to become reality, but thecurrently used grid middleware solutions do not providethese services. Therefore, usually estimations and pre-dictions are used in the scheduling process of the re-source managers to overcome these lacking featuresand provide a more efficient schedule. (For example,Lorincz et. al. monitor runtime information to determinethe behavior of the job and use these additional datain scheduling [14]). Trying to enlarge the limitation bor-ders, in this paper we are focusing on interoperabilityapproaches in the field of Grid Resource Management.The current solutions of grid resource managementwill not be able to fulfill the high demands of future gen-eration grid systems, though several grid resource bro-kers [5] have been developed supporting different gridsystems. Their main problem is that most of them can-not cross the borders of current grid middleware solu-tions, therefore the newly arisen problems need to betreated with novel research approaches. Nowadays gridsystems have their own researchers and user groups.This means borders not only for the development butalso for the interoperable utilization." @default.
• W39094548 created "2016-06-24" @default.
• W39094548 creator A5038399709 @default.
• W39094548 date "2008-01-01" @default.
• W39094548 modified "2023-09-27" @default.
• W39094548 title "The evolution of grid brokers: union for interoperability" @default.
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