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dc.contributor.author Pandithawattha, Y
dc.contributor.author Perera, K
dc.contributor.author Perera, M
dc.contributor.author Miniruwan, M
dc.contributor.author Walpola, M
dc.contributor.author Azeez, A
dc.date.accessioned 2015-08-24T11:51:48Z
dc.date.available 2015-08-24T11:51:48Z
dc.date.issued 2015-08-24
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/11244
dc.description.abstract Cloud computing has become the norm of today’s heavily used computer science applications. Load balancing is the key to efficient cloud based deployment architectures. It is an essential component in the deployment architecture when it comes to cloud native attributes of multi-tenancy, elasticity, distributed and dynamic wiring, and incremental deployment and testability. A load balancer that can base its traffic routing decisions on multiple cloud services is called a service-aware load balancer. We are introducing a novel implementation of a flexible load balancing framework which can be customized using a domain specific scripting language. Using this approach the user can customize the framework to take into account the different services running on each cluster (service-awareness) as well as the dynamically changing tenants in each cluster (tenant-awareness) before making the load balancing decisions. This scripting language lets users to define rules and configure message routing decisions. This methodology is more light weight and expressive than products already available, making the cluster based load balancing more efficient and productive.. en_US
dc.language.iso en en_US
dc.source.uri http://www.ijcce.org/papers/259-F00046.pdf en_US
dc.subject Load balancing en_US
dc.subject Tenant-awareness en_US
dc.subject Cloud computing. en_US
dc.subject Customizable framework en_US
dc.title Gajaba : dynamic rule based load balancing framework en_US
dc.type Article-Abstract en_US
dc.identifier.year 2013 en_US
dc.identifier.journal International Journal of Computer and Communication Engineering en_US
dc.identifier.issue 5 en_US
dc.identifier.volume 2 en_US
dc.identifier.pgnos pp. 608-618 en_US


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