作者: Hadrien Cambazard , Helmut Simonis , Barry O'Sullivan , Deepak Mehta
DOI:
关键词: Constraint (information theory) 、 Virtual machine 、 Energy consumption 、 Bin packing problem 、 Mathematical optimization 、 Mathematics 、 Context (language use) 、 Service quality 、 Linear programming 、 Server
摘要: Bin packing is a well studied problem involved in many applications. The classical bin about minimising the number of bins and ignores how are utilised. We focus this paper, on variant that at heart efficient management data centres. In context, servers can be viewed as virtual machines items. data-centre involves energy costs while ensuring service quality. assignment these utilised has huge impact consumption. where linear associated to use model study lower bounds based Linear Programming extend global constraint with cost information.