By Al-Sakib Khan Pathan, Mukaddim Pathan, Hae Young Lee
The advantages of allotted computing are evidenced by way of the elevated performance, retrieval strength, and reliability it offers for a couple of networked functions. the expansion of the net right into a serious a part of way of life has inspired additional research on how info can higher be transferred, controlled, and evaluated in an ever-changing on-line environment.
Advancements in allotted Computing and net applied sciences: developments and Issues compiles fresh learn tendencies and sensible matters within the fields of dispensed computing and web applied sciences. The ebook offers developments on rising applied sciences that target to aid the powerful layout and implementation of service-oriented networks, destiny net environments, and construction administration frameworks. learn on Internet-based structures layout, instant sensor networks and their software, and subsequent iteration allotted platforms will tell graduate scholars, researchers, teachers, and practitioners of latest tendencies and very important examine during this evolving discipline.
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Extra info for Advancements in distributed computing and Internet technologies : trends and issues
New York, NY: McGraw-Hill Professional. , & Estrada, L. (2009). Simulation and modeling of packet loss on VoIP traffic: A power-law model. WSEAS Transactions on Communications, 8(10), 1053–1063. , & Abry, P. (1999). A wavelet based joint estimator of the parameters of long-range dependence. IEEE Transactions on Information Theory - Special issue on multiscale statistical signal analysis and its applications, 45(3), 878-897. Wickerhauser, M. V. (1994). Adapted wavelet analysis from theory to software.
Short- and long-term packet loss behavior: Towards speech quality prediction for arbitrary loss distributions. IEEE Transactions on Audio, Speech, and Language Processing, 14(6), 957–1968. , & Torres, D. (2005). A tool for analysis of Internet metrics. F. Schulzrinne, H. (2003). RTP: A transport protocol for real-time applications (RFC 3550). Internet Engineering Task Force. Sheluhin, O. , Smolskiy, S. , & Osin, A. V. (2007). Self-similar processes in telecommunications. 1002/9780470062098 Sulkin, A.
Relationship between packet loss rate and Hurst parameter: f ( PLRτ , H τ ) vs. f REAL ( PLRε , H ε ) Table 3. 2475 VoIP jitter data traces. The functions f ( PLRτ , H τ ) , result from applying “ T ” packet loss patterns to representative VoIP jitter data traces X t ; in these functions, each point represents the correspondence parameters PLRτ and H τ of a new time series Xˆ τ . Ε , and “ Ε ” is the total number of collected jitter data traces. The respective differences between the functions corresponding to simulation results f ( PLRτ , H τ ) and the function f REAL ( PLRε , H ε ) , were quantified in terms of MSE.