Parallel and distributed computing has been under many years of development, having played a central role in shaping different research and application trends such as grid computing, cloud computing, green computing, etc. The broad applications of parallel and distributed computing have also made the relevant research field interdisciplinary, cross boundaries among architectures, communications, computing, algorithms and programming. The objective of this special issue is to address some recent developments in this interdisciplinary area. The special issue is based on the presentations made at the 13th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2012) held in Beijing, 14–16 December 2012. Fatima Furqan and Doan B. Hoang in their paper “Wireless Fair Intelligent Congestion Control — A Qos Performance Evaluation” propose a congestion control scheme in WiMAX Networks, by scheduling the traffic and ensuring the output buffer of base station operates around a target operating point without violating the QoS requirement of connections. The paper evaluates the performance of the proposed scheme in terms of throughput, delay and jitter for different classes of services under various parameter settings. A detailed simulation study on various settings of parameters is also carried out in NS-2. Yangyang Li, Hongbo Wang, Jiankang Dong, Junbo Li and Shiduan Cheng in their paper “Differentiated Bandwidth Guarantees for Cloud Data Centers” propose a differentiated bandwidth allocation scheme for data center networks, to guarantee network performance of applications and provide fine-grained service differentiation. The problem is formulated as a multi-objective optimization problem and solved by a heuristic algorithm. Xu Liang, Youli Qu and Guixiang Ma in their paper “Research on Contrastive Viewpoint Summarization for Opinionated Texts” propose an approach for summarizing multi-topic contrastive viewpoints in opinionated text processing. They model the opinionated texts with Topic-Aspect Model and get the topic and aspect attribute of each sentence, and use some ranking methods to evaluate the centrality of each sentence, based on which the summary is finally generated. We sincerely thank all the authors and reviewers for their contributions to this special issue. Special thanks are given to Prof. Francis Lau, the EIC of JOIN, for
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