A hybrid energy–Aware virtual machine placement algorithm for cloud environments

RADAR: Data Protection in Cloud-Based Computer Systems at Run Time

“…Both R5 and R6 relate to other system goals than data protection. Such other goals in cloud-based systems could include energy consumption reduction [27], cost reduction [28], latency minimization [29], and many others [30]. In this paper, we focus on the minimization of costs and the maximization of the available functionality as two representative examples, but the work presented here could be extended to address other goals as well.…”

An Energy-Aware Host Resource Management Framework for Two-Tier Virtualized Cloud Data Centers

“…However, most of them are designed for the VM cloud data center, and are used for the VM placement or the dynamic VM consolidation on the host. Gharehpasha et al [4] and Abohamama and Hamouda [5] study the placement of VMs to hosts and propose algorithms to minimize the power consumption of cloud data centers by minimizing the number of active hosts. The VM consolidation is a practical method to balance energy consumption and QoS requirements.…”

Testing of a Virtualized Distributed Processing System for the Execution of Bio-Inspired Optimization Algorithms

“…Essentially, energy consumption is an important aspect of virtualization; in line with [18], the high power consumption of cloud data centers presents a significant challenge from both an economic and environmental perspective. Server consolidation using virtualization technology is widely used to reduce the power consumption rates of data centers.…”

“…On energy-related work, a hybrid VMP algorithm based on an improved genetic algorithm using permutation and a multidimensional resource allocation strategy is proposed in [18]. The proposed VMP algorithm aims to improve the rate of high power consumption of cloud data centers by minimizing the number of active servers that host virtual machines; it also seeks to achieve balanced use of resources (CPU, RAM, and bandwidth) of active servers, which in turn reduces wasted resources.…”