Tsinghua University

Mowei Wang

Yong Cui

Sijiang Huang

Zhiwen Liu

A method for generating traffic demand data of a data center network includes: acquiring traffic demand samples each including a source address, a destination address, a flow interval, and a flow size; acquiring a first interval number by performing equal-frequency binning discretization processing according to the flow interval and acquiring a second interval number by performing equal-frequency binning discretization processing according to the flow size; determining a traffic demand subset according to the source address and the destination address, and acquiring a first parameter matrix and a second parameter matrix by training a latent Dirichlet allocation probability topic model according to the traffic demand subset; and generating the traffic demand data according to the first interval number, the second interval number, the first parameter matrix, and the second parameter matrix.

Method for generating traffic demand data of data center network

A traffic-aware switch-shared cache scheduling method includes: S, setting a cache threshold of each outgoing port of a switch according to a traffic state of each outgoing port of the switch; S, monitoring each outgoing port of the switch to determine whether an event of packet entry queue, packet exit queue, packet loss, buffer overflow or port queue state change occurs; S, determining a traffic state of the outgoing port according to the event that occurs at the outgoing port and corresponding port queue state information; S, setting a port control state according to the traffic state of the outgoing port; and S, adjusting the cache threshold corresponding to the outgoing port according to the port control state, and performing Sto continue monitoring until the switch stops working.

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Beijing, China

Mowei Wang