Multi-Objective Hybrid Flower Pollination Resource Consolidation Scheme for Large Cloud Data Centres

Cloud Computing has rapidly emerged as a successful paradigm for providing Information and Communication Technology (ICT) infrastructure. Resource allocation is used to execute user applications in the form of requests consolidated resources order minimize energy consumption violation Service Level Agreement (SLA) large-scale data centers resource utilization. The usually caused due local entrapment SLA during assigning execution. Several researchers have proposed solutions reduce entrapments violations SLA, entire center. However, strategies employed their face either searches or at global search level with certain violation. In this light, Multi-Objective Hybrid Flower Pollination Consolidation (MOH-FPRC) scheme efficient optimal consolidation center put forward. Local Neighborhood Search (LNS) algorithm been addressing level, while prominent flower pollination solve problem level. This, turn, reduces centers. addition, clustering introduced robust migration mechanism also satisfying minimum consumption. simulation results using MultiRecCloudSim simulator shown that our MOH-FPRC demonstrates an improved performance on consumption, utilization, 20.5% decrease, 23.9% increase, 13.5% reduction, respectively, compared benchmarked algorithms. proven its efficiency minimizing same time improving violations.