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Abstrak :
Banyaknya Jenis layanan yang didukung oleh Asynchronous Transfer Mode (ATM) menyebabkan trafik yang dihasilkan menjadi sangat bursty pada titik dimana proses call admission control dilakukan. Untuk memodelkan trafik tersebut, umumnya digunakan model kedatangan Poisson and 2-State Markov Modulated Poisson Process (MMPP-2). Pada penelitian ini dipelajari karakteristik dari kedua model tersebut berdasarkan tingkat burstiness yang ditinjau dari dua buah pendekatan: pendekatan interarrival times dan pendekatan counting process. Berdasarkan kedua pendekatan tersebut, model kedatangan akan dibandingkan berdasarkan beberapa parameter seperti PMR (Peak to Mean Ration), kuadrat koefisien variasi, Index Dispersion of Count dan parameter Hurst. Dari hasil analisa dan simulasi didapatkan bahwa ternyata model kedatangan MMPP-2 lebih cocok untuk digunakan sebagai model trafik call admission control (CAC) pada jaringan ATM.

Abstrak :
This book presents on the latest research findings, and innovative research methods and development techniques related to the emerging areas of broadband and wireless computing from both theoretical and practical perspectives. Information networking is evolving rapidly with various kinds of networks with different characteristics emerging and being integrated into heterogeneous networks. As a result, a number of interconnection problems can occur at different levels of the communicating entities and communication networks’ hardware and software design. These networks need to manage an increasing usage demand, provide support for a significant number of services, guarantee their QoS, and optimize the network resources. The success of all-IP networking and wireless technology has changed the way of life for people around the world, and the advances in electronic integration and wireless communications will pave the way for access to the wireless networks on the fly. This in turn means that all electronic devices will be able to exchange the information with each other in a ubiquitous way whenever necessary.