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Running MapReduce applications in shared clusters is becoming increasingly compelling to improve the cluster utilization. However, the network sharing across diverse applications can make the network bandwidth for MapReduce applications constrained and heterogeneous, which inevitably increases the severity of network hotspots in racks, and makes the existing task assignment policies that focus ...

Cloud providers and companies running large-scale data centers offer near-line, cold, and archival data storage, which trade access latency and throughput performance for cost. These often require physical rack-scale storage designs, e.g. Facebook/Open Compute Project (OCP) Cold Storage or Pelican, which co-design the hardware, mechanics, power, cooling and software to minimize costs to support...

Hybrid circuit and packet switching for data center networking (DCN) has received considerable research attention recently. A hybrid-switched DCN employs a much faster circuit switch that is reconfigurable with a nontrivial cost, and a much slower packet switch that is reconfigurable with no cost, to interconnect its racks of servers. The research problem is, given a traffic demand matrix (betw...

Running MapReduce in a shared cluster has become a recent trend to process large-scale data analytics applications while improving the cluster utilization. However, the network sharing among various applications can lead to constrained and heterogeneous network bandwidth available for MapReduce applications. This further increases the severity of network hotspots in racks, and makes existing ta...