Multiplex communications – Data flow congestion prevention or control
Reexamination Certificate
2007-12-28
2010-11-02
Pham, Brenda (Department: 2464)
Multiplex communications
Data flow congestion prevention or control
C370S235000, C370S235100
Reexamination Certificate
active
07826351
ABSTRACT:
Data communication in network traffic is modeled in real time and is analyzed using a 2-state Markov modified Poissen process (MMPP). The traffic inter-arrival times for bursty and idle states define a transition window [λ1max, λ2min] represented by the boundary values λ1maxfor the inter-arrival time for bursty traffic, and λ2minfor the inter-arrival time for idle traffic. Changes in the values of λ1maxand λ2minare tracked over time, and the size of the transition window is enlarged or decreased based upon relative changes in these values. If the inter-rival times for the bursty state and the idle state become approximately equal, the model defaults to a single state model. The modeling is applicable to the synchronization of polling and blocking in a low-latency network system. This permits the adoptive selection of poll or block to maximize CPU utilization and interrupt latency.
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Rodriguez Jorge R.
Xiong Kaiqi
Daugherty Patrick J.
Driggs, Hogg, Daugherty & Del Zoppo Co., LPA
International Business Machines - Corporation
Pham Brenda
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