By Yacine Laalaoui, Nizar Bouguila
This ebook offers a number of fresh purposes of man-made Intelligence in details and verbal exchange applied sciences similar to seek and Optimization tools, computer studying, info illustration and Ontologies, and Multi-agent structures. the most target of this ebook is to aid info and communique applied sciences (ICT) practitioners in handling successfully their systems utilizing AI instruments and strategies and to supply them with enough man made Intelligence historical past to accommodate real-life difficulties.
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2536. Springer (2002) 40. : Integration of task abortion and security requirements in GA-based meta-heuristics for independent batch grid scheduling. Comput. Math. Appl. 63(2), 350–364 (2012) 41. : Scheduling parallel batch jobs in grids with evolutionary metaheuristics. J. Sched. 1–13 (2014) 42. : An efficient meta-heuristic algorithm for grid computing. J. Comb. Optim. 1–22 (2013) 43. : Computational models and heuristic methods for grid scheduling problems. Future Gener. Comput. Syst. 26(4), 608–621 (2010) A Metaheuristic for Optimizing the Performance and the Fairness … 29 44.
Fr © Springer International Publishing Switzerland 2015 Y. Laalaoui and N. 1007/978-3-319-19833-0_3 51 52 Y. Laalaoui et al. ASPs infrastructure using simple PCs or disk-less stations through high speed Internet lines. This reduces significantly the number of employees and acquired hardware. The main objective is to guarantee high performance of hosted applications in ASPs’ infrastructures according to a service level agreement. All IT services such as hardware, applications, network and security issues will be handled by ASPs’ professional staff.
Nature inspired meta-heuristics for grid scheduling: single and multi-objective optimization approaches. In: Metaheuristics for Scheduling in Distributed Computing Environments , pp. 247–272 (2008) 30. : Scheduling parameter sweep applications on global grids: a deadline and budget constrained cost-time optimisation algorithm. : Pract. Exper. 35(5):491–512 (2005) 31. : Solving scheduling problems in grid resource management using an evolutionary algorithm. In: On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE.