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The energy consumption of cloud servers has dramatically increased. In order to meet the growing demands of users and reduce the skyrocketing cost of electricity, it is critical to have performance guaranteed and cost-effective job schedulers for clouds. In recent years, there has been a growing body of research which focus on improving resource utilization to improve energy efficiency, system throughput...
The elastic resource provision, non-interfering resource sharing and flexible customized configuration provided by the Cloud infrastructure has shed light on efficient execution of many scientific applications. Due to the increasing deployment of data centers and computer servers around the globe escalated by the higher electricity price, the energy cost on running the computing, communication and...
With the emerging of many data centers around the globe, heavy loads of large-scale commercial and scientific applications executed in the cloud call for efficient cloud resource management strategies to save energy without compromising the performance and system throughput. According to the statistics from the Data Centre Dynamic (DCD) organization, the expected energy consumption by computer servers...
In recent years, the rapid evolving Cloud Computing technologies multiply challenges including minimizing power consumption and meeting Quality-of- Services (QoS) requirements in the presence of heavy workloads from a large number of users using shared computing resources. Powering a middle-sized data center normally consumed 80,000kW power every year and computer servers consume around 5% of the...
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