Interarrival Distribution of a Long-Range Dependent Workload Process

Summary, in English

We derive the interarrival distribution of a workload input process which is a variation of the infinite source Poisson process for packet traffic. It accounts for long-range dependence and self-similarity exhibited by real traces in the Internet. The packet generation process is compound Poisson over each session which has a heavy tailed distribution. Considering the dependence induced by the workload, we derive the conditional distribution of the next interarrival time given that a packet has just arrived. This allows the use of the workload as general arrivals to a queueing system for further performance analysis

• Författare: Mine Caglar; Mohsin Iftikhar; Björn Landfeldt
• Avdelning/ar: Institutionen för elektro- och informationsteknik; ELLIIT: the Linköping-Lund initiative on IT and mobile communication
• Publiceringsår: 2014
• Språk: Engelska
• Sidor: 15-26
• Publikation/Tidskrift/Serie: Applied Mathematics & Information Sciences
• Volym: 8
• Issue: 1L
• Länkar: http://dx.doi.org/10.12785/amis/081L03
• Dokumenttyp: Artikel i tidskrift
• Förlag: Natural Sciences Publishing Corporation
• Ämne: Electrical Engineering, Electronic Engineering, Information Engineering
• Nyckelord: Infinite source Poisson; long-range dependence; packet data traffic; Palm distribution; self-similarity
• Status: Published
• Projekt: ELLIIT LU P01: WP2 Networking solutions
• Forskningsgrupp: Networking
• ISBN/ISSN/Övrigt: ISSN: 1935-0090