Secure virtual machine placement in cloud data centers

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multicore virtual machine placement in cloud data centers ∗

Finding the best way to map virtual machines (VMs) to physical machines (PMs) in a cloud data center is an important optimization problem, with significant impact on profitability, performance, and energy consumption. In most situations, the computational capacity of PMs and the computational load of VMs are a vital aspect to consider in the VM-to-PM mapping. Previous work modeled computational...

متن کامل

Network-aware virtual machine placement in cloud data centers with multiple traffic-intensive components

Following a shift from computing as a purchasable product to computing as a deliverable service to consumers over the Internet, cloud computing has emerged as a novel paradigm with an unprecedented success in turning utility computing into a reality. Like any emerging technology, with its advent, it also brought new challenges to be addressed. This work studies network and traffic aware virtual...

متن کامل

Multi-Objective Virtual Machine Placement using Improved Teaching Learning Based Optimization in Cloud Data Centers

The energy consumption of a data center is the critical research issue, i.e. Virtual Machine (VM) placements to satisfy the resource requirements with minimum energy consumptions and active servers. The Multi-Objective Virtual Machine Placement (MOVMP) is a representation of a kind of combinatorial optimization problem. In this paper, Teaching Learning Based Optimization (TLBO) is used to solve...

متن کامل

Elasticity-Aware Virtual Machine Placement in K-ary Cloud Data Centers

With the increasing popularity of cloud computing, the cloud data center suffers from both limited resources and the variation of users' requests. One important feature of cloud computing is on-demand scaling, enabling the fluctuation of one user's resource demand. However, amongst pre vious work concerning the virtual machine (VM) placement in data centers, satisfying requested resources of VM...

متن کامل

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 کامل

ذخیره 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: Future Generation Computer Systems

سال: 2019

ISSN: 0167-739X

DOI: 10.1016/j.future.2019.05.005