Phd thesis on load balancing in cloud computing

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In past few years, cloud computing has emerged as one of the fastest growing segment in IT industry.

LOAD BALANCING IN CLOUD COMPUTING THESIS

Load balancing delivers just click for source, platform, and software as a service on demand basis. Cloud provides several data centers at different geographical locations for service reliability and availability. Users can phd thesis on load balancing in cloud computing applications and subscribe services from any location at competitive phd thesis.

Further, cloud providers are unable to predict geographical distribution of users availing this services. There exist many challenging issues but cloud computing of them such as load balancing, event matching, and real-time data analysis have link addressed in the thesis. First three contributions in this thesis are phd thesis on load balancing in cloud computing to load balancing using evolutionary techniques.

In the first contribution, a genetic algorithm based load balancing LBGA has been proposed with real value coded GA with a new encoding mechanism.

Load Balancing In Cloud Computing Phd Thesis Pdf – 757488

Both the schemes are simulated in cloud analyst, and performance comparisons are made with the competitive schemes. Consequently, phd thesis on load balancing in cloud computing the schemes are grouped together to form a hybrid load balancing algorithm HLBA.

HLBA based central load balancer balances the load among virtual machines in cloud data center. HLBA utilizes the benefits of both genetic algorithm and particle swarm optimization.

Different phd thesis such as average response time, data center request service time, virtual machine cost, and data transfer cost are considered to evaluate the performance of the proposed algorithm. Suggested approach cloud computing better load balancing in large scale phd thesis computing environment as compared to other competitive approaches. Proposed modified rapid match MRM algorithm load balancing been compared with existing heuristics in the cloud system.

LOAD BALANCING IN CLOUD COMPUTING THESIS

Finally, a framework for load sensor-cloud environment for patient monitoring has been suggested. A prototype cloud computing has been developed for the purpose to validate the framework.

This integrated system helps in monitoring, analyzing, and delivering real-time information on the fly. Abstract In past few years, cloud computing has emerged as one of the fastest growing segment in IT industry.

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