TAILIEUCHUNG - Mạng lưới giao thông và đánh giá hiệu suất P8

High-quality traf®c measurements indicate that actual traf®c behavior over highspeed networks shows self-similar features. These include an analysis of hundreds of millions of observed packets on several Ethernet LANs [7, 8], and an analysis of a few million observed frame data by variable bit rate (VBR) video services [1]. In these studies, packet traf®c appears to be statistically self-similar [2, 11]. | Self-Similar Network Traffic and Performance Evaluation Edited by Kihong Park and Walter Willinger Copyright 2000 by John Wiley Sons Inc. Print ISBN 0-471-31974-0 Electronic ISBN 0-471-20644-X 8 BOUNDS ON THE BUFFER OCCUPANCY PROBABILITY WITH SELF-SIMILAR INPUT TRAFFIC N. Likhanov Institute for Problems of Information Transmission Russian Academy of Science Moscow Russia INTRODUCTION High-quality traffic measurements indicate that actual traffic behavior over highspeed networks shows self-similar features. These include an analysis of hundreds of millions of observed packets on several Ethernet LANs 7 8 and an analysis of a few million observed frame data by variable bit rate VBR video services 1 . In these studies packet traffic appears to be statistically self-similar 2 11 . Self-similar traffic is characterized by burstiness across an extremely wide range of time scales 7 . This behavior of aggregate Ethernet traffic is very different from conventional traffic models . Poisson batch Poisson Markov modulated Poisson process 4 . A lot of studies have been made for the design control and performance of highspeed and cell-relay networks using traditional traffic models. It is likely that many of those results need major revision when self-similar traffic models are considered 18 . Self-similarity manifests itself in a variety of different ways a spectral density that diverges at the origin a nonsummable autocorrelation function indicating long-range dependence an index of dispersion of counts IDCs that increases monotonically with the sample time T and so on 7 . A key parameter characterizing selfsimilar processes is the so-called Hurst parameter H which is designed to capture the degree of self-similarity. 193 194 BOUNDS ON THE BUFFER OCCUPANCY PROBABILITY Self-similar process models can be derived in different ways. One way is to construct the self-similar process as a sum of independent sources with a special form of the autocorrelation function. If we put

TÀI LIỆU LIÊN QUAN
TỪ KHÓA LIÊN QUAN
TAILIEUCHUNG - Chia sẻ tài liệu không giới hạn
Địa chỉ : 444 Hoang Hoa Tham, Hanoi, Viet Nam
Website : tailieuchung.com
Email : tailieuchung20@gmail.com
Tailieuchung.com là thư viện tài liệu trực tuyến, nơi chia sẽ trao đổi hàng triệu tài liệu như luận văn đồ án, sách, giáo trình, đề thi.
Chúng tôi không chịu trách nhiệm liên quan đến các vấn đề bản quyền nội dung tài liệu được thành viên tự nguyện đăng tải lên, nếu phát hiện thấy tài liệu xấu hoặc tài liệu có bản quyền xin hãy email cho chúng tôi.
Đã phát hiện trình chặn quảng cáo AdBlock
Trang web này phụ thuộc vào doanh thu từ số lần hiển thị quảng cáo để tồn tại. Vui lòng tắt trình chặn quảng cáo của bạn hoặc tạm dừng tính năng chặn quảng cáo cho trang web này.