Issue No. 05 - May (2003 vol. 36)
Thomas G. Robertazzi , State University of New York, Stony Brook
<p>During the past decade, divisible load theory has become a powerful tool for modeling data-intensive computational problems. DLT emerged from a desire to create intelligent sensor networks, but most recent applications involve parallel and distributed computing.</p><p>Like other linear mathematical models such as Markovian queuing theory and electric resistive circuit theory, DLToffers easy computation, a schematic language, and equivalent network element modeling. While it can incorporate stochastic features, the basic model does not make statistical assumptions, which can be the Achilles' heel of a performance evaluation model.</p>
T. G. Robertazzi, "Ten Reasons to Use Divisible Load Theory," in Computer, vol. 36, no. , pp. 63-68, 2003.