JointStaticandDynamicTrafficScheduling inDataCenterNetworks
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Description
The power consumption of enormous network devices in data centers has emerged as a big concern to data center operators. Despite many traffic-engineering-based solutions, very little attention has been paid on performance-guaranteed energy saving scheme. Current internet traffic analysis is an important task in tele-traffic and network engineering today. Traffic evaluation is a need to cater new problems and develop new algorithm in providing reliable QoS. Any research on analyzed internet traffics are done for the past years which presented different or changes of internet flow characteristics in many areas. Thus, regular identifications of internet characteristic is being focus where more new tele-traffic engineering algorithm are developed from time to time in providing best Quality of service (QoS) or new development in network communication. Today, datacenter topologies typically consist of multi-rooted trees with many equal-cost paths between every pair of hosts. However, because of limited port densities in even the highest-end switches, data center topologies typically consist of multi-rooted trees with many equal-cost paths between any given pair of hosts. Existing IP multi-pathing protocols usually rely on per-flow static hashing and can cause substantial bandwidth losses due to long-term collisions. In this project the system design deploys a single interconnection network for both static and dynamic traffic, thus avoiding the extra costs of implementing and maintaining two different switching systems. The main contribution of this paper is the development of a Generalized Load Balanced Scheduler (GLOBE) that bridges the Birkhoff-von Neumann scheduler and the load balanced scheduler.
Tags: 2015, Data Mining Projects, Dotnet


