proposing a simulation system for modeling Cloud computing environments and performance evaluation of different resource scheduling policies and algorithms; focusing on simulation of scheduling in IaaS layer where related, performance evaluation of workload models and Cloud provisioning algorithms in a repeatable man- ner under different configurations and requirements is difficult. There is still lack of tools that enable developers to compare different resource scheduling algorithms in IaaS regarding both computing servers and user workloads. To fill this gap in tools for evaluation and modeling of Cloud environments and applica- tions, we propose CloudSched. CloudSched can help developers identify and explore appropriate solutions considering different resource scheduling algorithms. Unlike traditional scheduling algorithms considering only one factor such as CPU, which can cause hotspots or bottlenecks in many cases, CloudSched treats multi-dimensional resource such as CPU, memoryt
CloudSched
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