{ "id": "2112.01893", "version": "v2", "published": "2021-12-03T13:10:33.000Z", "updated": "2022-07-22T15:15:00.000Z", "title": "Aggregation of network traffic and anisotropic scaling of random fields", "authors": [ "Remigijus Leipus", "VytautÄ— PilipauskaitÄ—", "Donatas Surgailis" ], "comment": "46 pages", "categories": [ "math.PR" ], "abstract": "We discuss joint spatial-temporal scaling limits of sums $A_{\\lambda,\\gamma}$ (indexed by $(x,y) \\in \\mathbb{R}^2_+$) of large number $O(\\lambda^{\\gamma})$ of independent copies of integrated input process $X = \\{X(t), t \\in \\mathbb{R}\\}$ at time scale $\\lambda$, for any given $\\gamma>0$. We consider two classes of inputs $X$: (I) Poisson shot-noise with (random) pulse process, and (II) regenerative process with random pulse process and regeneration times following a heavy-tailed stationary renewal process. The above classes include several queueing and network traffic models for which joint spatial-temporal limits were previously discussed in the literature. In both cases (I) and (II) we find simple conditions on the input process in order that normalized random fields $A_{\\lambda,\\gamma}$ tend to an $\\alpha$-stable L\\'evy sheet $(1< \\alpha <2)$ if $ \\gamma < \\gamma_0$, and to a fractional Brownian sheet if $\\gamma > \\gamma_0$, for some $\\gamma_0>0$. We also prove an `intermediate' limit for $\\gamma = \\gamma_0$. Our results extend previous works Mikosch et al. (2002), Gaigalas, Kaj (2003) and other papers to more general and new input processes.", "revisions": [ { "version": "v2", "updated": "2022-07-22T15:15:00.000Z" } ], "analyses": { "subjects": [ "60G18", "60G51", "60G52", "60G60", "60G22", "60F05", "60K25" ], "keywords": [ "random fields", "anisotropic scaling", "input process", "aggregation", "joint spatial-temporal scaling limits" ], "note": { "typesetting": "TeX", "pages": 46, "language": "en", "license": "arXiv", "status": "editable" } } }