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Scheduling and Load Balancing in Cloud-Fog Computing using Swarm Optimization Techniques: A Survey

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dc.contributor.author Mon, Myat Myat
dc.contributor.author Khine, May Aye
dc.date.accessioned 2019-07-22T04:34:12Z
dc.date.available 2019-07-22T04:34:12Z
dc.date.issued 2019-02-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1119
dc.description.abstract Cloud computing is an interested and big developing computing technology that maintain data servers and service huge applications to provide end users in many different organization. Although cloud computing gives many benefits of service, but it can hardly accurate the requirements of end users in humans’ daily lives. A new computing paradigm called Fog Computing which is an emerging as a necessary and popular computing paradigm to perform Internet of Things (IoT). Fog computing is a middle layer of cloud and IoT. When fog computing is insufficient for the resource requirements of IoT, cloud computing can assist fog computing to get a handle of intensive applications. The IoT applications could choose fog or cloud computing nodes for responding to the resource requirements. Scheduling and load balancing algorithms are necessary for efficient and effective utilization of resources. This paper presents the survey of scheduling and load balancing algorithms in cloud and fog computing environment by using swarm-based optimization techniques. en_US
dc.language.iso en en_US
dc.publisher Seventeenth International Conference on Computer Applications(ICCA 2019) en_US
dc.subject Fog Computing en_US
dc.subject Resource Scheduling en_US
dc.subject Load balancing en_US
dc.subject Swarm Intelligence en_US
dc.subject Particle swarm optimization (PSO) en_US
dc.subject Ant Colony Optimization (ACO) en_US
dc.subject Artificial Bee Colony Optimization (ABC) en_US
dc.title Scheduling and Load Balancing in Cloud-Fog Computing using Swarm Optimization Techniques: A Survey en_US
dc.type Animation en_US
dc.type Article en_US

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