Abstract

Cloud computing become most adoptable technology over the past few years, it is widespread for both at organizational level or for the person who use the services that are offered in the cloud. There are several technocrats currently researched on cloud related issues and soon cloud represents the modern computing. The cloud gave the prospect for the enterprise and allowing them to center on their work by providing hardware and software solution without developing them own. Now a day the database has also moved to cloud computing so we will look into the fine points of database as a service and it’s servicing. While storing data on cloud there is a need to balance the load on datacenters because if user base always sends request on single data center then it becomes overloaded so load balancing techniques are applied to manage this problem. To manage geographic distribution in terms of computing servers and data workloads a tool termed as CloudAnalyst is used which is based on cloudsim technique. CloudAnalyst helps developers with the vision of distributing applications among cloud infrastructures. Currently tool having three algorithms for load balancing round robin, throttled load balancer, equally spread current execution and the proposed algorithm is weighted round robin which works better as comparison to round robin in various aspects.

Highlights

  • Cloud computing is a field which brings a boom in the industry of technology and academics

  • Round robin algorithm is incorporated in cloud databases for performing the task of load balancing on different data centers of cloud

  • Load Balancing is a procedure to distribute or share the load among all the nodes of the network

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Summary

Introduction

Cloud computing is a field which brings a boom in the industry of technology and academics. Second one is the large-scale software systems providers, who manage large scale applications such as social networking sites and e-commerce These cloud services minimize costs and improve service quality to end users. When the above two ends are taken into account, several factors generates that affect the net assistance of cloud These factors include distribution of user bases at different geographical areas, performance of the internet infrastructure in those geographic areas, working of user bases, and capabilities of cloud services and its behavior towards dynamic reconfiguration among others. There are numerous nodes across the cloud databases for query services, so that data centers that are located in different geological areas can be accessible. There are several methods for accessing the database over the cloud; the user can access it via computer through the internet using 3G or 4G services

CloudSim
GridSim
CloudAnalyst
Simulation Output of the Simulator
Load Balancing
Backgrounds & Related Work
Existing Algorithms Work on Simulator
Proposed Algorithm for Performing Load Balancing
Result
Response Time
Closest Data Center Policy
Optimized Response Time Policy
Reconfiguring Dynamically with Load Policy
Response Time on the Basis of Regions
Data Center Processing Time
Data Center Request Servicing Time
Conclusion

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