Dynamic provisioning of resources based on load balancing and service broker policy in cloud computing

2019 ◽  
Vol 23 (1) ◽  
pp. 377-395 ◽  
Author(s):  
Amrita Jyoti ◽  
Manish Shrimali
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Dynamic Provisioning ◽  
Service Broker

Cloud computing using load balancing and service broker policy for IT service: a taxonomy and survey

2020 ◽  
Vol 11 (11) ◽  
pp. 4785-4814 ◽  
Author(s):  
Amrita Jyoti ◽  
Manish Shrimali ◽  
Shailesh Tiwari ◽  
Harivans Pratap Singh
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
It Service ◽  
Service Broker

scholarly journals An Research on the Effectiveness of the Different Algorithms and the Scheduling in Improving the Performance of Cloud Computing by using Cloud Analyst Simulator

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1170-1176
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Response Time ◽  
Time Duration ◽  
Computing Paradigm ◽  
File Storage ◽  
Public Networks ◽  
Service Broker ◽  
Application Hosting ◽  
The Cost

Cloud computing can be defined as a computing paradigm, where the various systems and large pool are connected to each other in private or public networks. The aim for that is to provide a dynamically scalable infrastructure, where it is used for applications, data and file storage. Cloud computing reduced the cost of computation and application hosting so that content storage and delivering services are handled faster and more flexibility. Load balancing is one of the challenges that affect the performance of cloud computing and the overcome it leads to better resource utilization and response time. The service broker policy plays an important role in accelerating the response time of customer requests by locating data centers or optimize the pattern of access to them. The contribution of this paper investigates the effectiveness of using the different algorithms and the approaches to improve the performance of cloud computing as it has been shown that there is a possibility to increase the performance of cloud computing by relying on certain criteria described in this paper. The results, which are presented in this paper were obtained using the cloud analyst simulator, where this simulator contains (Time duration, Load balancing algorithms, and Service Broker Algorithms, etc).

scholarly journals Efficient Load Balancing and Service Broker Policy Using Local and Global Representatives in Cloud Computing

2019 ◽  
Vol 8 (10) ◽  
pp. 2680-2687
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Service Level Agreement ◽  
Service Level ◽  
The Other ◽  
Optimal Load ◽  
Important Challenge ◽  
Service Broker ◽  
Local Representative ◽  
Local User

Cloud computing is a technology in the field of computing which offer services to the customer from anywhere at any time [1]. In the cloud, resources are shared all around the work for quick servicing to the customer. The aggregation of two terms is referred as cloud computing. The term “cloud” is a pool of different resources offers services to the end customers and “computing” is done based on the Service Level Agreement (SLA) to make the resources efficiently to the customers. Load balancing is an important challenge in the environment of the cloud to increase the utilization of resources [3]. Here we proposed an algorithm which is based on load balancing and service broker policy. We user two representative thin the proposed approach local representative and global representative Local user representative is used to predict the parameters of user task and based on priority it allocate the task to the Virtual Machine (VM). Then for scheduling the task and provide the services to the users based on the available cloud brokers global user representative used Dynamic Optimal Load-Aware Service Broker (DOLASB).we used two scenario with different no. of user requests , in these scenario result of our proposed method is better as compared with the other existing methods in terms s of Execution Time, Makespan, Waiting Time, Energy Efficiency and Throughput.

A Review on Load Balancing Model Using Best Partition Technique

2017 ◽  
Vol 7 (8) ◽  
pp. 284
Author(s):  
M. Chaitanya ◽  
K. Durga Charan
Keyword(s):  
Cloud Computing ◽  
Fault Tolerance ◽  
Load Balancing ◽  
Load Balance ◽  
Large Impact ◽  
Cloud Environment ◽  
Public Cloud ◽  
The Public ◽  
Partition Technique ◽  
Textual Content

Load balancing makes cloud computing greater knowledgeable and could increase client pleasure. At reward cloud computing is among the all most systems which offer garage of expertise in very lowers charge and available all the time over the net. However, it has extra vital hassle like security, load administration and fault tolerance. Load balancing inside the cloud computing surroundings has a large impact at the presentation. The set of regulations relates the sport idea to the load balancing manner to amplify the abilties in the public cloud environment. This textual content pronounces an extended load balance mannequin for the majority cloud concentrated on the cloud segregating proposal with a swap mechanism to select specific strategies for great occasions.

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