Results 151 to 160 of about 2,986 (197)

Evaluation of Performance Degradation in HPC Applications with VM Consolidation

2012 Third International Conference on Networking and Computing, 2012
This paper investigates the performance degradation in application programs running on virtual machines (VMs) in a physical computing server with a focus on HPC applications. We select three benchmarks as the expected workload in a data center: HPC applications, database applications, and web server applications.
Yuya Hashimoto, Kento Aida
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Workload-Driven VM Consolidation in Cloud Data Centers

2015 IEEE International Parallel and Distributed Processing Symposium, 2015
Virtual machines hosted in virtualized data centers are important providers of computational resources in the era of cloud computing. Efficient scheduling of data centers' virtual machines can reduce the number of physical servers needed to host the virtual machines and, in turn, reduce the energy and other capital costs for maintaining the virtualized
Hao Lin, Xin Qi, Shuo Yang 0010, Samuel P. Midkiff   +3 more
openaire   +1 more source

Reducing VM Startup Time and Storage Costs by VM Image Content Consolidation

2014
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
Razavi, K., Razorea, L.M., Kielmann, T.
openaire   +2 more sources

MiyakoDori: A Memory Reusing Mechanism for Dynamic VM Consolidation

2012 IEEE Fifth International Conference on Cloud Computing, 2012
In Infrastructure-as-a-Service datacenters, the placement of Virtual Machines (VMs) on physical hosts are dynamically optimized in response to resource utilization of the hosts. However, existing live migration techniques, used to move VMs between hosts, need to involve large data transfer and prevents dynamic consolidation systems from optimizing VM ...
Soramichi Akiyama, Takahiro Hirofuchi, Ryousei Takano, Shinichi Honiden   +3 more
openaire   +1 more source

The Effect of Resource Allocation and System Events on VM Consolidation

2017 IEEE International Conference on Cluster Computing (CLUSTER), 2017
Virtual machine (VM) consolidation is necessary for increasing the server utilization; however, it also leads to VM performance degradation. This work presents a method to predict the consolidated VMs performance from the critical system events data. Experiments are designed to demonstrate the effect of system events like interrupts, page faults, mutex
Maruf Ahmed, Albert Y. Zomaya
openaire   +1 more source

VM Consolidation by using Selection and Placement of VMs in Cloud Datacenters

2017
The Cloud Computing model leverages virtualization of computing resources allowing customers to provision resources on-demand on a pay-as-you-go basis. During recent years, the power consumption of datacenters in cloud environment attracted researchers.
Nadimi, Reza, Ahmadi Khatir, Reza
openaire   +1 more source

Coordinating VMs' Memory Demand Heterogeneity and Memory DVFS for Energy-Efficient VMs Consolidation

2014 IEEE International Conference on Internet of Things(iThings), and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom), 2014
We propose memory-aware VM consolidation to achieve energy-efficiency of a data center while enhancing performance of VMs. Consolidation without awareness of the memory-access demand can cause inefficient resource utilization and degrade system performance.
Ibrahim Takouna, Christoph Meinel
openaire   +1 more source

Bio-Inspired Heuristics for VM Consolidation in Cloud Data Centers

IEEE Systems Journal, 2020
In infrastructure-as-a-service environments, Cloud data centers employ virtualization technology to host various applications in virtual machines (VMs) and enable application isolation on shared physical resources. Additionally, live VM migration has been adopted to perform load balancing by moving VMs across distinct hosts.
Jing V. Wang, Nuwan Ganganath, Chi-Tsun Cheng, Chi K. Tse   +3 more
openaire   +2 more sources

Integrating VM selection criteria in distributed dynamic VM consolidation using Fuzzy Q-Learning

Proceedings of the 9th International Conference on Network and Service Management (CNSM 2013), 2013
Distributed dynamic VM consolidation can be an effective strategy to improve energy efficiency in cloud environments. In general, this strategy can be decomposed into four decision-making tasks: (1) Host overloading detection, (2) VM selection, (3) Host underloading detection, and (4) VM placement.
Masoumzadeh, Seyed-Saeid, Hlavacs, Helmut   +1 more
openaire   +1 more source

Fuzzy Logic Based Energy Aware VM Consolidation

2015
Global need of computing is growing day by day and as a result cloud based services are getting more prominent for its pay-as-you-go modality. However, cloud based datacenters consume considerable amount of energy which draws negative attention.
Mohammad Alaul Haque Monil, Rashedur M. Rahman   +1 more
openaire   +1 more source