Multiobjective evolutionary algorithms: A comparative case study and the strength pareto approach

Yi Wei, Karthik Sukumar,Christian Vecchiola,Dileban Karunamoorthy,Rajkumar Buyya, J Seltzer, D Read, DD Clark, JC Mouriño,J López, FGG Castaño, D Rodríguez, L Domínguez, D González, J Pena, F Gómez, DG Castaño,M Pombar, A Gómez, C Fernández, Daniel J Abadi, Karl Aberer, Zoran Despotovic, A Abouzeid, K Bajda-Pawlikowski, D Abadi, A Rasin, A Silberschatz,Atul Adya,William J Bolosky,Miguel Castro, Gerald Cermak, Ronnie Chaiken,John R Douceur,Jon Howell, Jacob R Lorch,Marvin Theimer, Roger P Wattenhofer, R Agarwal, M Gort,Gagan Aggarwal,Mayank Bawa,Prasanna Ganesan,Hector Garcia-Molina,Krishnaram Kenthapadi,Rajeev Motwani,Utkarsh Srivastava,Dilys Thomas,Ying Xu,Gagan Aggarwal,Mayank Bawa,Prasanna Ganesan,Hector Garcia-Molina,Krishnaram Kenthapadi,Rajeev Motwani,Utkarsh Srivastava,Dilys Thomas,Ying Xu,Divyakant Agrawal, Amr El Abbadi, Fatih Emekçi, Ahmed Metwally, M Ahronovitz, S Ajuja, N Carriero, D Gelernter, Linda, SF Altschul, W Gish, W Miller, EW Myers, DJ Lipman, DWO Rogers, BA Faddegon, GX Ding, CM Ma, WJ Mackie, J Pena,DM González-Castaño, F Gómez, A Gago-Arias, FJ González-Castaño, D Rodríguez-Silva, A Gómez, C Mouriño, M Pombar, M Sánchez, J Pena,DM González-Castaño, F Gómez, FF Sánchez-Doblado, GH Hartmann, RR Patel, DW Arthur, BRB Walters, DWO Rogers, MP Coleman, U Amaldi, G Kraft, LE Taylor, M Ding, A Taylor, ME Powell, M Brada, M Pijls-Johannesma, D De Ruysscher, D Schulz-Ertner, O Jäkel, W Schlegel, BD Kavanagh, RD Timmerman, TS Lawrence, RK Ten Haken, A Giaccia, B Sotomayor, RS Montero, IM Llorente, I Foster, SE Noda, T Lautenschlaeger, MR Siedow, David G Andersen, Jason Franklin, Michael Kaminsky, Amar Phanishayee, Lawrence Tan, Vijay Vasudevan, Janna Anderson, Elon University, Lee Rainie, Juan M Andrade, Andrew, A Andrieux, K Czajkowski, A Dan, K Keahey, H Ludwig, T Nakata, J Pruyne, J Rofrano, S Tuecke, M Xu, A Andrieux, K Czajkowski, A Dan, K Keahey, H Ludwig, J Pruyne, J Rofrano, S Tuecke

Cloud Computing: Methodology, Systems, and Applications（2012）

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摘要

646Aneka is an Application Platform-as-a-Service (Aneka PaaS) for Cloud Computing. It acts as a framework for building customized applications and deploying them on either public or private Clouds. One of the key features of Aneka is its support for provisioning resources on different public Cloud providers such as Amazon EC2, Windows Azure and GoGrid. In this chapter, we will present the Aneka platform and its integration with one of the public Cloud infrastructures, Windows Azure, which enables the usage of Windows Azure Compute Service as a resource provider of Aneka PaaS. The integration of the two platforms allows users to leverage the power of Windows Azure Platform for Aneka Cloud Computing, employing a large number of compute instances to run their applications in parallel. Furthermore, customers of the 647Windows Azure platform can benefit from the integration with Aneka …

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