Energy Saving Service for Data Centers

Energy-saving self-configuring networked data centers

In this paper, we develop the optimal minimum-energy scheduler for the dynamic online joint allocation of the task sizes, computing rates, communication rates and communication powers in virtualized Networked Data Centers (NetDCs) that operates under hard per-job delay-constraints. The referred NetDC’s infrastructure is composed by multiple frequency-scalable Virtual Machines (VMs), that are in...

CPU Frequency Scaling Algorithm for Energy-saving in Cloud Data Centers

High energy consumption becomes an urgent problem in cloud datacenters. Based on virtualization technologies, the pay-as-you-go resource provision paradigm has become a trend. Specifically, Virtual Machine (VM) is the basic resource unit in data center for resource migration and provisioning. Many researches have been devoted to improve datacenter resource utilization and reduce power consumpti...

Energy-Efficient Data Centers

Cloud data centers energy-saving scheduling algorithm based on CPU frequency scaling

The high energy consumption in cloud data centers has become an urgent problem. The scale and architecture of cloud data centers are growing increasingly immense and complex in recent years, which bring more severe challenges on the energy consumption management. This paper proposes new approaches for virtual machines (VMs) placement based on CPU frequency scaling. In the stage of initial VM pl...

Using Intelligent Agents to Discover Energy Saving Opportunities within Data Centers

Thinking about the complexity of the data center environment, this paper explores the characteristics of knowledgebased agents to discover energy savings opportunities within these dynamic systems. The goal is to concentrate on the most significant problems while, at the same time, create some flexibility in which undesired metrics are acceptable in face of their positive and negative impact an...