Computer network traffic analysis with the use of statistical self-similarity factor
نویسندگان
چکیده
منابع مشابه
Computer network traffic analysis with the use of statistical self-similarity factor
The optimal computer network performance models require accurate traffic models, which can capture the statistical characteristic of actual traffic. If the traffic models do not represent traffic accurately, one may overestimate or underestimate the network performance. The paper presents confirmation of the self-similar nature of the selected protocols in the computer network communication lay...
متن کاملanalysis of power in the network society
اندیشمندان و صاحب نظران علوم اجتماعی بر این باورند که مرحله تازه ای در تاریخ جوامع بشری اغاز شده است. ویژگیهای این جامعه نو را می توان پدیده هایی از جمله اقتصاد اطلاعاتی جهانی ، هندسه متغیر شبکه ای، فرهنگ مجاز واقعی ، توسعه حیرت انگیز فناوری های دیجیتال، خدمات پیوسته و نیز فشردگی زمان و مکان برشمرد. از سوی دیگر قدرت به عنوان موضوع اصلی علم سیاست جایگاه مهمی در روابط انسانی دارد، قدرت و بازتولید...
15 صفحه اولSelf-similarity in network traffic
Recent studies have shown that various types of network traffic exhibit long-term dependency or self-similarity, or fractal-like behavior. Thus, to say that network traffic exhibits self-similarity means that if we look at the network traffic during a given time interval and choose a subinterval at random, the graph of the network traffic vs. time in the subinterval looks like the graph of netw...
متن کاملOn the Relevance of Self-Similarity in Network Traffic Prediction
Self-similarity is an important characteristic of traffic in high speed networks which can not be captured by traditional traffic models. Traffic predictors based on non-traditional long-memory models are computationally more complex than traditional predictors based on short-memory models. Even online estimation of their parameters for actual traffic traces is not trivial work. Based on the ob...
متن کاملOn Reducing the Degree of Self-Similarity in Network Traffic
While it is well known that self-similarity in network traffic leads to larger queueing delays, higher drop rates and extended periods of congestion, reducing the selfsimilarity of traffic and consequently eliminating its harmful effects has remained an open problem. In this paper we present some techniques to reduce the degree of selfsimilarity of network traffic, specifically by reducing two ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Annales UMCS, Informatica
سال: 2013
ISSN: 2083-3628,1732-1360
DOI: 10.2478/v10065-012-0040-0