Internet data centers (IDCs), which have the potential of spatial and temporal load
regulation, are excellent demand response (DR) resources. IDCs participating in DR has …

Virtual machine (VM) placement is a key technique for energy optimization in cloud data
centers. Previous work generally focus on how to place the VMs efficiently in servers to …

Constructing energy-efficient cloud data centers (CDCs) is an essential path for the further
expansion of cloud computing. As one of the core subsystems of a data center, the cooling …

Increasing workload conditions lead to a significant surge in power consumption and
computing node failures in data centers. The existing workload distribution strategies …

With the explosive growth of the Internet of Things (IoT), an increasing amount of sensor
data generated by soft real-time IoT applications has been moved to data centers for storage …

Instantiated containers of an application are distributed across multiple Physical Machines
(PMs) to achieve high parallel performance. Container placement plays a vital role in …

The explosion of large-scale data has increased the scale and capacity of storage clusters in
data centers, leading to huge power consumption issues. Cloud providers can effectively …

In recent years, renewable energy, such as wind and photovoltaic electric power has been
increasingly integrated into data center power provisioning systems to address high energy …

为了有效改善多集群共存的移动边缘网络中业务流端到端服务时延, 提出了一种基于改进遗传
模拟退火算法的虚拟网络功能部署策略. 通过开放Jackson 排队网络对移动业务流的时延进行最 …

With the current high levels of energy consumption of data centers, reducing power
consumption by even a small percentage is beneficial. We propose a framework for thermal …