Comparative Analysis of Host Utilization Thresholds in Cloud Datacenters

نویسندگان

  • Kritika Sharma
  • Raman Maini
  • Aditi Mahajan
  • Anita Ganpati
  • Amritpal Singh
  • Supriya Kinger
  • Anton Beloglazov
  • Jemal Abawajy
  • Rajkumar Buyya
  • Bhupendra Panchal
  • R. K. Kapoor
چکیده

Cloud Computing provides various servicers to its users just over an internet connection. For this the Cloud providers have to set up large datacenters which consists of number of computing nodes. These datacenters consumes a huge amount of energy. This not only leads to higher expenses but it also causes harmful effects on our environments. Thus, the attention is shifting towards energy efficiency in Clouds. This is done by optimizing VM allocation and migrating them to some other hosts. For VM migration various utilization thresholds are required. In this paper, we have done a comparative study of some of these utilization thresholds. The simulation in done on CloudSim toolkit. It has been concluded that for the same configurations of datacenter and for the same workload IQR utilization thresholds gives the best results for energy efficiency as well as lowest SLA violations.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

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

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. Optimization of energy consumption can be performed by different methods including virtual machine (VM) consolidation. This technique can reduc...

متن کامل

CCM: Scalable, On-Demand Compute Capacity Management for Cloud Datacenters

We present CCM (Cloud Capacity Manager) – a prototype system, and, methods for dynamically multiplexing the compute capacity of cloud datacenters at scales of thousands of machines, for diverse workloads with variable demands. This enables mitigation of resource consumption hotspots and handling unanticipated demand surges, leading to improved resource availability for applications and better d...

متن کامل

Communication-Aware Traffic Stream Optimization for Virtual Machine Placement in Cloud Datacenters with VL2 Topology

By pervasiveness of cloud computing, a colossal amount of applications from gigantic organizations increasingly tend to rely on cloud services. These demands caused a great number of applications in form of couple of virtual machines (VMs) requests to be executed on data centers’ servers. Some of applications are as big as not possible to be processed upon a single VM. Also, there exists severa...

متن کامل

Seawall: Performance Isolation for Cloud Datacenter Networks

While today’s virtual datacenters have hypervisor based mechanisms to partition compute resources between the tenants co-located on an end host, they provide little control over how tenants share the network. ˆis opens cloud applications to interference from other tenants, resulting in unpredictable performance and exposure to denial of service attacks. ˆis paper explores the design space for a...

متن کامل

Managing and Scheduling Approximate Applications to Utilize Renewable Energy in Cloud Computing Datacenters

With the rapid development of cloud computing, the power consumption of datacenters is getting much higher in recent years. Renewable energy becomes promising as the power supply for datacenters since it helps to greatly save the consumption of traditional power resources. In order to improve the utilization of renewable energy in data centers, we proposed several adaptive scheduling algorithms...

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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015