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To reduce cloud system resource cost, application consolidation is a must. In this paper, the authors present a novel Pattern-driven Application Consolidation (PAC) system to achieve efficient resource sharing in virtualized cloud computing infrastructures. PAC employs signal processing techniques to dynamically discover significant patterns called signatures of different applications and hosts. PAC then performs dynamic application consolidation based on the extracted signatures. They have implemented a prototype of the PAC system on top of the Xen virtual machine platform and tested it on the NCSU Virtual Computing Lab. They have tested the system using RUBiS benchmarks, Hadoop data processing systems, and IBM System S stream processing system.
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