Title :
Addressing agility and improving load balance in fat-tree data center network — A review
Author :
Lonare, Amol ; Gulhane, Veena
Author_Institution :
Dept. of Comput. Sci. & Eng., GHRCE, Nagpur, India
Abstract :
A multi-rooted hierarchical tree topology has been widely adopted for many data center networks. It provides good utilization of resources as well as better performance, still fat tree Data Center Network has two limitations i.e traffic load balance and agility. This is because it is unable to support different traffic types efficiently and has no capacity to access all services by all servers. A work has done previously on load balancing, yet agility has not been solved. In this paper various techniques of load balancing has been studied and the new technique to address the agility has been discussed. This technique will increase the level of performance even in a more number of nodes in the network and also improve load handling capacity.
Keywords :
computer centres; resource allocation; topology; trees (mathematics); agility; fat-tree data center network; multirooted hierarchical tree topology; resource utilization; traffic load balancing; Bandwidth; Load management; Routing; Servers; Switches; Telecommunication traffic; Traffic control; Agility; Data Center Network; Fat-tree; Load balance; Network Utilization; Services;
Conference_Titel :
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location :
Coimbatore
Print_ISBN :
978-1-4799-7224-1
DOI :
10.1109/ECS.2015.7125057