Optimizing virtual machine placement for energy and SLA in clouds using utility functions
نویسندگان
چکیده
منابع مشابه
Virtual Machine Placement Algorithm for Both Energy-Awareness and SLA Violation Reduction in Cloud Data Centers
The problem of high energy consumption is becoming more and more serious due to the construction of large-scale cloud data centers. In order to reduce the energy consumption and SLA violation, a new virtual machine (VM) placement algorithm named ATEA (adaptive three-threshold energy-aware algorithm), which takes good use of the historical data from resource usage by VMs, is presented. In ATEA, ...
متن کاملSemantic Analysis of energy consumption for estimating SLA violation with virtual machine provisioning schema using DVFS
Energy consumption is one of the major expense in IT industry which has attracted the attentions of various data centers which deploys huge quantity of power supply. So attempt to reduce energy utilization is very prime concern in cloud computing as it supports various complex services obeying SLA. In this research work, we present an in-depth analysis of energy consumption at a core model of c...
متن کاملVirtual Machine Scheduling on Clouds Using DVFS
Cloud computing is not a new technology but a new delivery method for the services on pay per use basis. As per various standard definitions of cloud computing: “Cloud Computing is the delivery of application softwares, infrastructure and platform as a service over the Internet accessible from the web browser and desktop with the end user not having any knowledge of the service providing system...
متن کاملTowards Virtual Machine Energy-Aware Cost Prediction in Clouds
Pricing mechanisms employed by different service providers significantly influence the role of cloud computing within the IT industry. With the increasing cost of electricity, Cloud providers consider power consumption as one of the major cost factors to be maintained within their infrastructures. Consequently, modelling a new pricing mechanism that allow Cloud providers to determine the potent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Cloud Computing
سال: 2016
ISSN: 2192-113X
DOI: 10.1186/s13677-016-0067-7