Virtual machine (VM) placement is a fundamental problem about resource scheduling in cloud computing; however, the design and implementation of an efficient VM placement algorithm are very challenging. To better multiplex and share physical hosts in the cloud data centers, this paper presents a VM placement algorithm based on the peak workload characteristics, which models the workload characte...

Reducing the energy consumption of virtualized datacenters and the Cloud is very important in order to lower CO2 footprint and operational cost of a Cloud operator. However, there is a trade-off between energy consumption and perceived application performance. In order to save energy, Cloud operators want to consolidate as many Virtual Machines (VM) on the fewest possible physical servers, poss...

Server consolidation using virtual machines (VMs) can improve resource utilization by sharing physical resources. Each VM is isolated from the others for security and VMs can be easily migrated for load balancing. Since there are several VMs in a physical machine, the virtual machine monitor (VMM) multiplexes the physical resources among VMs according to system settings. The administrators dete...

Dynamic consolidation of virtual machines (VM) in a cloud data center can be used to minimize power consumption. Beloglazov et al. have proposed the MM (Minimization of Migrations) heuristic for selecting the VMs to migrate from underor over-utilized hosts, as well as the MBFD (Modified Best Fit Decreasing) heuristic for deciding the placement of the migrated VMs. According to their simulation ...

Snooze is an open-source scalable, autonomic, and energyefficient virtual machine (VM) management framework for private clouds. It allows users to build compute infrastructures from virtualized resources. Particularly, once installed and configured it allows its users to submit and control the life-cycle of a large number of VMs. For scalability, the system relies on a self-organizing and heali...

Dynamic consolidation of Virtual Machines (VMs) can effectively enhance the resource utilization and energyefficiency of the Cloud Data Centers (CDC). Existing research on Cloud resource reservation and scheduling signify that Cloud Service Users (CSUs) can play a crucial role in improving the resource utilization by providing valuable information to Cloud service providers. However, utilizatio...

Energy efficiency is a significant topic in cloud computing. Dynamic consolidation of virtual machines (VMs) with live migration is an important method to reduce energy consumption. However, frequent VM live migration may cause a downtime of service. Therefore, the energy save and VM migration are two conflict objectives. In order to efficiently solve the dynamic VM consolidation, the dynamic V...