Neural networks, grid computing, parallelization, high-dimensional optimization, quantitative investment, decision support. - Neuronale Netze, Parallelisierung, hoch-dimensionale Optimierung, quantitatives Investment, Entscheidungsunterstützung

Economic scheduling needs to be considered for Grid computing environment, because it gives an incentive for resource providers to supply their resources. Moreover, it enforces efficient use of resources, because the users have to pay for theiruse. Tendering is a suitable model for Grid...

Mit zunehmender Verbreitung von Grid-Infrastrukturen in Unternehmen gewinnt die Frage nach Vertrauen immer mehr an Bedeutung. In einer offenen, heterogenen, sich st?ndig ver?ndernden Umgebung, wie z.B. der Grid-?konomie ist hundertprozentige Sicherheit nicht zu gew?hrleisten; aus diesem Grund...

As Grid computing commenced in the scientific sector, it slowly enters the commercial environment. Although it proposes interesting features for horizontal integration of hardware and resource sharing, businesses slowly implement Intragrids in their companies. Open Grid markets are yet not deployed.

This work is concerned with the conduct of MCDM by intelligent agents trading commodities in ALNs. These agents consider trustworthiness in their course of negotiation and select offers with respect to product price and seller reputation.

The Grid provides access to distributed computational capabilities such as processors or storage space. One of the key problems is deciding which jobs are to be allocated to which resources at what time. In this context, the use of market mechanisms is a promising approach to solve these...