论文标题
优化数据中心网络中的共同流程调度和路由大数据应用程序
Optimizing Co-flows Scheduling and Routing in Data Centre Networks for Big Data Applications
论文作者
论文摘要
本文优化了最先进的和拟议的被动光学网络(PON)基于数据中心网络(DCN)体系结构中MAPREDUCE洗牌阶段共同流程的调度和路由。开发并使用了时间宣传的混合整数线性编程(MILP)模型,以最大程度地减少总能耗或完成时间的目的。 DCN体系结构包括四个最先进的电子开关架构,它们是脊柱叶,脂肪树,Bcube和DCELL数据中心。拟议的基于PON的DCN体系结构包括两种设计,这些设计除了用于内部数据中心网络的被动互连外,还使用光线终端(OLT)线路卡中的端口,以及可能内部数据中心网络,用于不同PON组之间的内部数据中心网络(即PON组中的pon组中)(即PON组内的PON组中的PON组)(即连接到单个OLT端口的数量)。第一个设计是一种以开关为中心的设计,该设计使用了两个阵列的波导光栅路由器(AWGRS),而第二个是以服务器为中心的设计。该研究还考虑了根据MAP的分布定义的不同流量模式,并减少了服务器和数据偏度中的任务。
This paper optimizes the scheduling and routing of the co-flows of MapReduce shuffling phase in state-of-the-art and proposed Passive Optical Networking (PON)-based Data Centre Network (DCN) architectures. A time-slotted Mixed Integer Linear Programming (MILP) model is developed and used for the optimization with the objective of minimizing either the total energy consumption or the completion time. The DCN architectures include four state-of-the-art electronic switching architectures which are spine-leaf, Fat-tree, BCube, and DCell data centres. The proposed PON-based DCN architectures include two designs that utilize ports in Optical Line Terminal (OLT) line cards for inter and possibly intra data centre networking in addition to passive interconnects for the intra data centre networking between different PON groups (i.e. racks) within a PON cell (i.e. number of PON groups connected to a single OLT port). The first design is a switch-centric design that uses two Arrayed Waveguide Grating Routers (AWGRs) and the second is a server-centric design. The study also considers different traffic patterns defined according to the distribution of map and reduce tasks in the servers and data skewness.