Joint Jobs Scheduling and Routing for Metro-Scaled Micro Datacenters over Elastic Optical Networks

A joint jobs scheduling and routing algorithm is proposed for geographically-distributed micro datacenters over EON. Simulation results show that the algorithm can reduce the jobs' average completion time and bandwidth consumption.

[1]  Michael I. Jordan,et al.  Managing data transfers in computer clusters with orchestra , 2011, SIGCOMM.

[2]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[3]  Jun Luo,et al.  Flutter: Scheduling tasks closer to data across geo-distributed datacenters , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[4]  Marwan Krunz,et al.  QoE and power efficiency tradeoff for fog computing networks with fog node cooperation , 2017, IEEE INFOCOM 2017 - IEEE Conference on Computer Communications.

[5]  Minlan Yu,et al.  Scheduling jobs across geo-distributed datacenters , 2015, SoCC.

[6]  Xin Li,et al.  Distributed sub-light-tree construction scheme for multicast services in elastic optical datacenter networks , 2017, 2017 Optical Fiber Communications Conference and Exhibition (OFC).