| 1 | -- | 4 | Hamid Sarbazi-Azad, Alireza Shahrabi, Hamid Beigy. Special issue on network-based high performance computing |
| 5 | -- | 25 | Ismail Ababneh, Saad Bani-Mohammad, Mohamed Ould-Khaoua. An adaptive job scheduling scheme for mesh-connected multicomputers |
| 26 | -- | 44 | Shyh-Chang Liu, Tsung Hung Chen. Enabling adaptive live streaming in P2P multipath networks |
| 45 | -- | 65 | Fatos Xhafa, Leonard Barolli, Santi Caballé, Raul Fernandez. Efficient peerGroup management in JXTA-Overlay P2P system for developing groupware tools |
| 66 | -- | 85 | Hoda Mashayekhi, Jafar Habibi. Combining search and trust models in unstructured peer-to-peer networks |
| 86 | -- | 102 | Olivier Flauzac, Michaël Krajecki, Luiz Angelo Steffenel. CONFIIT: a middleware for peer-to-peer computing |
| 103 | -- | 121 | Daniel M. Batista, Luciano Chaves, Nelson L. S. Da Fonseca, Artur Ziviani. Performance analysis of available bandwidth estimation tools for grid networks |
| 122 | -- | 137 | Bing Du, Chun Ruan. Robust performance modelling and scheduling of distributed real-time systems |
| 138 | -- | 162 | Martin Randles, Osama Abu-Rahmeh, P. Johnson, A. Taleb-Bendiab. Biased random walks on resource network graphs for load balancing |
| 163 | -- | 181 | Young Choon Lee, Albert Y. Zomaya, Howard Jay Siegel. Robust task scheduling for volunteer computing systems |
| 182 | -- | 195 | Zhenyu Xu, James Wang, Pradip K. Srimani. Distributed fault tolerant computation of weakly connected dominating set in ad hoc networks |
| 196 | -- | 211 | Muneer Bani Yassein, Mustafa Bani Khalaf, Ahmed Yassin Al-Dubai. A new probabilistic broadcasting scheme for mobile ad hoc on-demand distance vector (AODV) routed networks |
| 212 | -- | 230 | Mamun I. Abu-Tair, Geyong Min, Qiang Ni, Hong Liu. An adaptive medium access control scheme for mobile ad hoc networks under self-similar traffic |
| 231 | -- | 245 | Yasser Yasami, Saadat Pour Mozaffari. A novel unsupervised classification approach for network anomaly detection by k-Means clustering and ID3 decision tree learning methods |