Load Balancing Algorithms in Cloud Computing Systems

- Introduction,Cloud Computing,Types of cloud,Public Cloud,Private Cloud,Hybrid cloud,Community Cloud,Cloud computing services, SaaS, Paas, IaaS/HaaS- Load Balancing ,Distributed LB,Non-Distributed,LB Strategies in Dynamic LB Components Involved in IS, LS,TS- Challenges in LB,Cloud Nodes Spatial Distribution,Storage/ Replication,Failure Controlling,Complexity of an Algorithm- Existing LB algorithms, Task Scheduling,Shortest Response Time First,Random Sampling,Round Robin,MIN-MIN,Resource Awareness Scheduling,Firefly- Problem description,Motivation,Research aim and objective- Research methodology,Model 1, Model 2,Model 3,Model 4- Review of literature, fuzzy logic, task/job scheduling, genetic algorithm,particle swarm optimization,virtual storage,server based load balancing,event driven, vector dot- JRS-ERP Algorithm, Introduction, Design,Summary- SBLB Algorithm, Introduction, Design,Implementation,Summary- LBER Algorithm ,Conceptual Model, Implementation of I-ALLOC ,experimental outcomes, test case1,2,3,4,5, Comparative Analysis, Summary- FOTM Algorithm, Hybrid model of JRS-ERP and FOTM Design,experimental outcomes,Comparative Analysis, Summary- Limitations,Future work, Bibliography