Editorial
Special Section: Grid and pervasive computing (selected papers from 2010 International Conference on Grid and Pervasive Computing)

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Research highlights

► The 2010 International Conference on GPC provides a forum for researchers worldwide to present their newest results.► This year GPC received 184 submissions from 22 countries.► To further enhance its impacts, we select 6 high-quality papers from the papers accepted from GPC 2010 to include in this special section.

Introduction

In the last few years, we have observed an explosive growth in research on grid and pervasive computing (GPC). GPC provides computing power that can be accessed anytime and anywhere. It is the next-generation information technology. This new paradigm has been embodied into many service models through ubiquitous technologies to provide computing and communication services. The 2010 International Conference on GPC provides a forum for researchers worldwide to present their newest results. This year GPC received 184 submissions from 22 countries. To further enhance its impact, we select six high-quality papers from the papers accepted from GPC 2010 to include in this special section.

Section snippets

Electronic program guide

When you have 500 channels of cable TV, finding a show you like is like finding a needle in a haystack. An electronic program guide (EPG) is a digital guide for scheduling broadcast television or radio programs with functions that allow a user to navigate, select, and discover contents by criteria such as time, title, channel, and genre [1]. However, providing selection is not enough. Providing recommendation is the desired outcome. To recommend programs, the EPG has to know a user’s viewing

Service discovery in the grid environment

Resources in a grid environment are heterogeneous and distributed. How to locate the necessary and qualified resources to meet a task’s requirements efficiently is very important. Resources can provide services. Therefore, service discovery [3] is the automatic detection of devices and services offered by these devices. There are many existing service discovery protocols such as Apple’s Bonjour technology [4], Simple Service Discovery Protocol (SSDP) as used in Universal Plug and Play (UPnP) [5]

Map-reduce task scheduling in grids

Cloud computing [7] has been a very active research topic recently. To process a large set of data in the cloud or in a cluster of computers, Google introduced the MapReduce software framework [8]. Basically there are many map tasks executed simultaneously using different data from a large data set. The results are then merged by the reduce tasks. Grid can be seen as a cluster of computers dispersed around the world. Therefore, applying the MapReduce paradigm in a grid environment, a key step

Reconfigurable processors in grid computing

In a computer system, a processor is either general-purpose or application-specific. For a general-purpose processor, since it is supposed to be able to perform all kinds of tasks, its design cannot be optimized and its efficiency cannot be accelerated. On the other hand, an application-specific processor is designed to execute a certain task very fast. But, for other kinds of tasks, an application-specific processor is powerless. Reconfigurable processors [10] try to rectify the situation.

Workflow scheduling

Scheduling tasks to processors subject to various constraints is an old and interesting problem. Many of these problems are hard to find an optimal solution for. One of them, the workflow scheduling problem [12], [13], further requires that the tasks have workflow relationships. That is, there is precedence between tasks. Some tasks have to be completed before others. There could be one workflow or many workflows. The fifth paper, Online Scheduling of Workflow Applications in Grid Environment,

Service level guarantee in chaotic Internet

To guarantee that an Internet service will be accomplished on time is not easy. Although some applications allow a SLA (Service Level Agreement) [14], [15] to be specified beforehand, the agreement sometimes is not fulfilled because the application cannot control the Internet that it is run on. Among all the agreements, response time is one of the most difficult attributes to control or guarantee, especially now that we are in the cloud computing age. Most, if not all, applications are on the

Conclusions

The six papers in this special section touch on six different topics. They reflect the diversity and the richness of GPC research. We hope that by this special issue the readers can have a better understanding about the breadth and depth of current research. We hope that they can also trigger further related research and technology improvements in various areas of GPC.

Finally, the guest editors would like to express their sincere gratitude to Prof. Peter Sloot, Editor in Chief of Future

Ruay-Shiung Chang received his B.S.E.E. degree from National Taiwan University in 1980 and his Ph.D. degree in Computer Science from National Tsing Hua University in 1988. He is now a vice president of National Dong Hwa University and a professor in the Department of Computer Science and Information Engineering. His research interests include Internet, wireless networks, and cloud computing. Dr. Chang is a member of ACM, a senior member of IEEE, and founding member of ROC Institute of

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Ruay-Shiung Chang received his B.S.E.E. degree from National Taiwan University in 1980 and his Ph.D. degree in Computer Science from National Tsing Hua University in 1988. He is now a vice president of National Dong Hwa University and a professor in the Department of Computer Science and Information Engineering. His research interests include Internet, wireless networks, and cloud computing. Dr. Chang is a member of ACM, a senior member of IEEE, and founding member of ROC Institute of Information and Computing Machinery. Dr. Chang also served on the advisory council for the Public Interest Registry (www.pir.org) from 2004/5 to 2007/4. In 2009, Dr. Chang received the Outstanding Information Technology Elite Award from the ROC Information Month Committee.

Han-Chieh Chao is a joint appointed Full Professor of the Department of Electronic Engineering and Institute of Computer Science & Information Engineering. He also serves as the president of National Ilan University, I-Lan, Taiwan, R.O.C. He has been appointed as the Director of the Computer Center for Ministry of Education starting from September 2008 to July 2010. His research interests include High Speed Networks, Wireless Networks, IPv6 based Networks, Digital Creative Arts and Digital Divide. He received his M.S. and Ph.D. degrees in Electrical Engineering from Purdue University in 1989 and 1993 respectively. He has authored or co-authored 4 books and has published about 250 refereed professional research papers. He has supervised 90 M.S.E.E. students and 2 Ph.D. students to graduation. Dr. Chao has received many research awards, including Purdue University SRC awards, and NSC research awards (National Science Council of Taiwan). He also received many funded research grants from NSC, Ministry of Education (MOE), RDEC, Industrial Technology of Research Institute, Institute of Information Industry and FarEasTone Telecommunications Lab. Dr. Chao has been invited frequently to give talks at national and international conferences and research organizations. Dr. Chao is the Editor-in-Chief for IET Communications, Journal of Internet Technology, International Journal of Internet Protocol Technology and International Journal of Ad Hoc and Ubiquitous Computing. Dr. Chao has served as guest editor for Mobile Networking and Applications (ACM MONET), IEEE JSAC, IEEE Communications Magazine, Computer Communications, IEE Proceedings Communications, The Computer Journal, Telecommunication Systems, Wireless Personal Communications, and Wireless Communications & Mobile Computing. Dr. Chao is an IEEE senior member and a Fellow of IET (IEE). He is a Chartered Fellow of the British Computer Society.

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