Load Balancing As A Service In Openstack-Liberty

Mapping Intimacies ◽

10.35543/osf.io/zvk3n ◽

2019 ◽

Author(s):

Girish L

Keyword(s):

Load Balancing ◽

Dynamic Load ◽

Virtual Machines ◽

Dynamic Load Balancing ◽

Traffic Load ◽

The Internet ◽

Private Institution ◽

On Demand ◽

Traffic Loads ◽

Traffic Load Balancing

Cloud computing is a technology which provides computing resource on demand over the internet as a service. To meet this, many opensource cloud operating system are provided for the tenants, in order to get useful services from the cloud. There are many opensource cloud OS like AWS, Open Shift, HP, OpenStack etc. Out of all these OpenStack comes with free of cost and it has got a huge community. It can be installed and deploy in private institution or company with free of cost. This paper provides a model and techniques for the dynamic load balancing in OpenStack for managing the traffic/loads among the Virtual Machines. The main purpose is to increase the utilization of computing resources and minimize the traffic. Load Balancing as a Service is one of the main service in OpenStack Networking. OpenStack is an opensource platform which provides Infrastructure as a Service. It allows users/tenants tocreate their own private clouds and to deploy Virtual Machines, which manages different workloads. In this paper, we provide an architecture of openstack LBaaS, for dynamic load balancing in open stack cloud deployment.

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Multi-agent grid system Agent-GRID with dynamic load balancing of cluster nodes

Open Engineering ◽

10.1515/eng-2017-0054 ◽

2017 ◽

Vol 7 (1) ◽

pp. 485-490 ◽

Cited By ~ 1

Author(s):

M.N. Satymbekov ◽

I.T. Pak ◽

L. Naizabayeva ◽

Ch.A. Nurzhanov

Keyword(s):

Load Balancing ◽

Dynamic Load ◽

Virtual Machines ◽

Dynamic Load Balancing ◽

Grid System ◽

Multi Agent

AbstractIn this study the work presents the system designed for automated load balancing of the contributor by analysing the load of compute nodes and the subsequent migration of virtual machines from loaded nodes to less loaded ones. This system increases the performance of cluster nodes and helps in the timely processing of data. A grid system balances the work of cluster nodes the relevance of the system is the award of multi-agent balancing for the solution of such problems.

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An Automated VM Security Framework for Live Migration

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.k1920.0981119 ◽

2019 ◽

Vol 8 (11) ◽

pp. 2029-2037

Keyword(s):

Load Balancing ◽

Virtual Machine ◽

Dynamic Load ◽

Virtual Machines ◽

Service Level ◽

Dynamic Load Balancing ◽

Application Development ◽

Adaptive Encryption ◽

Application Hosting ◽

Encryption Method

With the unbounded growth in the infrastructures for application hosting, demand from the consumers of the applications and the trade-off between the application availability with cost for application hosting is pushing the application providers towards cloud.The support from the cloud computing towards the application development are the dynamic load balancing, saving cost for energy and in premises hardware dependency. The dynamic load balancing is made possible by the concept of migrations of virtual machines or VMs. The migration includes identification of high loads on specific hosts, identification of possible virtual machines to be migrated and possible target hosts, where the VMs can be migrated. The challenge of migrating the virtual machines from the source to the destination physical hosts is during the migration process the virtual machines are exposed to the network and the other users available or have access to the same communication channels. Also, the virtual machines data to be made live in the target physical system, popularly called the VM images, are treated as regular files before those are live. Hence in the migration cycle, starting from the transfer of the virtual machine image and till the transferred virtual machine is live, there is a gap of security and which needs to be filled. The virtual machine images often contain the application, data generated by the application and data to be consumed by the application. Regardless to mention these three components are critical and must be prevented from the unauthorised access. Hence, a number of research attempts have proposed various schemes to secure the VM images by employing various encryption mechanisms. There methods are criticised for consuming high amount of computing capabilities for encrypting – decrypting VM images and resulting into violation of service level agreements by making the application not available for higher time.Thus, this work proposes a novel method for encrypting a higher volume VM image in less time by deploying a progressive and adaptive encryption method. The work also establishes the thought of the improvement by testing the algorithm in the light of SLA violation reduction compared with existing methods

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Enhancement of dynamic load balancing using Particle Swarm Algorithm in Cloud Environment

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v15i10.4390 ◽

2016 ◽

Vol 15 (10) ◽

pp. 7164-7168

Author(s):

Ginni Bansal ◽

Amanpreet Kaur

Keyword(s):

Load Balancing ◽

Dynamic Load ◽

Virtual Machines ◽

Particle Swarm ◽

Dynamic Load Balancing ◽

Particle Swarm Algorithm ◽

Shared Resources ◽

Multiple Resources ◽

Swarm Algorithm ◽

Load Balancer

Dynamic load balancing with decentralized load balancer using PSO technique: Cloud consists of multiple resources and various clients request to the cloud for allocation of shared resources. Each request will be allotted to the virtual machines. In different situation different machines get different load. So to balance the load amongst different virtual machines decentralized load balancer is enhanced using particle swarm algorithm. The main objective is reducing the energy and increasing the throughput in comparison to centralized and simple decentralized load balancer using particle swarm optimization.

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