Telecommunication networks: protocols, modeling and analysis
Telecommunication networks: protocols, modeling and analysis
Asymptotic expansions for waiting time probabilities in an M/G/1 queue with long-tailed service time
Queueing Systems: Theory and Applications
TCP/IP illustrated (vol. 1): the protocols
TCP/IP illustrated (vol. 1): the protocols
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
TCP/IP illustrated (vol. 2): the implementation
TCP/IP illustrated (vol. 2): the implementation
TCP/IP illustrated (vol. 3): TCP for transactions, HTTP, NNTP, and the Unix domain protocols
TCP/IP illustrated (vol. 3): TCP for transactions, HTTP, NNTP, and the Unix domain protocols
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Analysis of a local-area wireless network
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
A web server's view of the transport layer
ACM SIGCOMM Computer Communication Review
Fitting world-wide web request traces with the EM-algorithm
Performance Evaluation - Special issue: Internet performance and control of network systems
Statistical Characterization of Wide-Area IP Traffic
IC3N '97 Proceedings of the 6th International Conference on Computer Communications and Networks
Modeling object characteristics of dynamic Web content
Journal of Parallel and Distributed Computing - Scalable web services and architecture
Impact of Layer Two ARQ on TCP Performance in W-CDMA Networks
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
MSWiM '05 Proceedings of the 8th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
System Modeling and Analysis: Foundations of System Performance Evaluation
System Modeling and Analysis: Foundations of System Performance Evaluation
IEEE 802.11 Wireless Local Area Networks
IEEE Communications Magazine
Web traffic modeling exploiting TCP connections' temporal clustering through HTML-REDUCE
IEEE Network: The Magazine of Global Internetworking
Packet-level traffic measurements from the Sprint IP backbone
IEEE Network: The Magazine of Global Internetworking
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This paper proposes a data-unit-size distribution model to represent the message segmentation function implemented in many protocols, such as TCP and RLC, that allows a sender to divide a message larger than the payload size @?"d into multiple packets. To develop a Markov chain for a segmented packet size sequence, we introduce an auxiliary random variable representing two packet types: body and edge packets. The body packet is defined as a segmented packet appearing between the head and penultimate packets in the original message. If a message is segmented, the edge packet is defined as the final segmented packet. If not, it is identified with the original message. The sizes of body packets are equal to @?"d, whereas those of edge packets are variable, not to exceed @?"d. Using the Markov chain, we derive analytical forms of the occurrence probability of edge packets, as well as the distribution, mean and variance of packet sizes in the steady state. The key findings from the numerical results based on traffic measurement examples include the following. (1) When Web objects embedded in static Web pages that have a long-tailed size property are transferred using TCP, the occurrence probability of edge packets is not negligible in the case of commonly used values of @?"d, such as 1460 and 2272 bytes. (2) When IP messages are transferred using RLC protocol, the occurrence probability of edge packets is small because the payload size @?"d is very small.