Suriya Begum

Load Balancing Algorithms in Cloud Computing Systems

• Broschiertes Buch

Produktbeschreibung

- 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

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 144
• Erscheinungstermin: 17. Juni 2021
• Englisch
• Abmessung: 220mm x 150mm x 9mm
• Gewicht: 233g
• ISBN-13: 9786203925050
• ISBN-10: 6203925055
• Artikelnr.: 62281536

Autorenporträt

Dr.Suriya Begum is currently working as Lead Data Scientist,completed many Client Projects in Data Science, Machine Learning. She completed her Ph.D in High Performance Computing,Certified Data Scientist from IABAC,IBM, has 4 Patents in her name.Reviewer in Peer Reviewed Edited Book.AICTE appointed her as Reviewer and Subject Matter Expert in 2021.