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Please use this identifier to cite or link to this item: https://repository.esi-sba.dz/jspui/handle/123456789/304
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dc.contributor.authorHARIZI, BOuabdellah-
dc.date.accessioned2022-06-06T09:03:00Z-
dc.date.available2022-06-06T09:03:00Z-
dc.date.issued2021-
dc.identifier.urihttps://repository.esi-sba.dz/jspui/handle/123456789/304-
dc.descriptionDr. Ishak MEDDAH supervisoren_US
dc.description.abstractThe emergence of cloud computing in recent years has stimulated the interest of various organizations, institutions, and users in the use of services and applications. Due to the provision of very attractive service packages, cloud technology has attracted a lot of attention from academia, the IT industry and users. Cloud computing promises scalability and availability on demand of resources. As the number of Internet users continues to increase, it becomes difficult to process millions of user requests for it. In many cases, network traffic will spike suddenly during peak hours. In this case, a degradation of system performance is generally observed. Although they have a lot of good features, these problems restrict users from using these services. Users may not think that much reliable. Therefore, one of the critical issues that needs to be further considered by researchers is load balancing in cloud computing systems. Several researchers have proposed a variety of load balancing algorithms to solve this problem. There are two types of load balancing algorithms : static and dynamic. Cloud computing systems should process requests dynamically instead of using static methods, which are considered the least efficient method.There are also many parameters, such as resource utilization, flexibility, performance, scalability, and response time, which are used to verify any load balancing algorithm. Any load balancing developer should maintain a good balance between these criteria.en_US
dc.language.isoenen_US
dc.subjectCloud Computingen_US
dc.subjectVirtualizationen_US
dc.subjectLoad Balancingen_US
dc.subjectAlgorithmsen_US
dc.subjectResourcesen_US
dc.subjectVirtual Machineen_US
dc.subjectResponse Timeen_US
dc.titleLoad balancing in cloud computingen_US
dc.typeThesisen_US
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