On the prediction of packet process in network traffic using FARIMA time-series model

Abstract

The simultaneous existence of short- and long-range dependence in the network traffic has exposed the limita-tions of conventional traffic models. In this paper, we suggest fractionally integrated autoregressive moving aver-age process (FARIMA) to model the packet process observed in network traffic. We have used different levels of aggregations for computing differencing parameter d. We also give the complete procedure for modeling and obtaining the predictions for packet process in network traffic using the FARIMA (p, d, q) model. Keywords: SRD, LRD, FARIMA.similar lines, with increase through successive larvae. Both consumption index (CI) and growth rate (GR) de-clined as the larvae aged, the value of the former averaging 3.02 and the latter 0.37. The values of approximate digestibility (AD) are high: 9987%. The values of both efficiency of conversion of ingested food (ECI) and effi-ciency of conversion of digested food (ECD) increased as the larvae aged, the former averaging 18.02% and the latter 22.26%. Adults of P. hector utilized nearly 24 floral species as nectar sources, whose sugar concentrations (1258%) corresponded with 1550% in psychophilic flowers. They displayed a hovering habit while harvesting nectar, and frequently contacted the essential organs with probosics and head, thus promoting cross-pollination.