Elastic cloud applications rely on fast virtual machine (VM) startup, e.g. when scaling out for handling increased workload. While there have been recent studies into the VM startup time in clouds, the effects of the VM image (VMI) disk size and its contents are little understood. To fill this gap, we present a detailed study of these factors on Amazon EC2. Based on our findings, we developed a...


 Modern virtual machine (VM) management software includes components that enable consolidation of VMs for power savings or load-balancing for performance. While the existing literature provides various methods for computing a better load-balanced, or consolidated goal state, it fails to adequately suggest the best path from the system's current state to the desired goal allocation. This paper ...

Virtual machine (VM) memory allocation and VM consolidation can benefit from the prediction of VM page miss rate at each candidate memory size. Such prediction is challenging for the hypervisor (or VM monitor) due to a lack of knowledge on VM memory access pattern. This paper explores the approach that the hypervisor takes over the management for part of the VM memory and thus all accesses that...

Virtual Machines (VMs) have been widely adopted in cloud platforms to improve server consolidation and reduce operating costs. VM checkpointing is used to capture a persistent snapshot of a running VM and to later restore the VM to a previous state. Although VM checkpointing eases system administration, such as in recovering from a VM crash or undoing a previous VM activity, it can also increas...

Cloud Computing is rapidly being utilized to operate informational technological services by outstanding technologies for a variety of benefits, including dynamically improved resources planning and new service delivery method. The computing process occurred allowing the client devices data access through internet from remote server, computers, databases. An connection linked among front end us...

Scheduling extensive scientific applications that are deadline-aware (usually referred to as workflow) is a difficult task. This research provides virtual machine (VM) placement and scheduling approach for effectively process tasks in the cloud environment while maintaining dependency deadline constraints. The suggested model’s aim reduce application’s energy consumption total execution time ta...

Virtualization is an innovation that has widely been utilized in modern data centers for cloud computing to realize energyefficient operations of servers. Virtual machine (VM) migration brings multiple benefits such as resource distribution and energy aware consolidation. Server consolidation achieves energy efficiency by enabling multiple instances of operating systems to run simultaneously on...

Multicore processors are widely used in today’s computer systems. Multicore virtualization technology provides an elastic solution to more efficiently utilize the multicore system. However, the Lock Holder Preemption (LHP) problem in the virtualized multicore systems causes significant CPU cycles wastes, which hurt virtual machine (VM) performance and reduces response latency. The system consol...

Minimizing the total amount of physical memory consumption of a set of virtual machines (VM) running on a physical machine is the key to improving a hypervisor’s consolidation ratio, which is defined as the maximum number of VMs that can run on a server without any performance degradation. To give each VM just enough physical memory equal to its true working set (TWS), we propose a TWS-based me...

Datacenters provide an IT backbone for today’s business and economy, and are the principal electricity consumers for Cloud computing. Various studies suggest that approximately 30% of the running servers in US datacenters are idle and the others are under-utilized, making it possible to save energy and money by using Virtual Machine (VM) consolidation to reduce the number of hosts in use. Howev...