Human-computer interaction: toward the year 2000
Human-computer interaction: toward the year 2000
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
An evaluation of the close-to-files processor and data co-allocation policy in multiclusters
CLUSTER '04 Proceedings of the 2004 IEEE International Conference on Cluster Computing
An Adaptive Task Scheduling System for Grid Computing
CIT '06 Proceedings of the Sixth IEEE International Conference on Computer and Information Technology
FAST TCP: motivation, architecture, algorithms, performance
IEEE/ACM Transactions on Networking (TON)
UDT: UDP-based data transfer for high-speed wide area networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed Computing Economics
Queue - Object-Relational Mapping
EHAC'09 Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication
Matchmaking for online games and other latency-sensitive P2P systems
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
| Hi-index | 0.00 |
The systems for remote synchronous computer supported cooperative work (CSCW) are significant to facilitate people's communication and promote productivity. However, in the Internet, such systems often suffer from the problems of relatively large latency, low bandwidth and relatively high cost of wide-area networking. Previous works tried to improve various mechanisms of communication, but till now we still cannot get rid of these problems due to the nature of the Internet data transmission mechanism. Rather than making optimizations based on the traditional CSCW computing style as previous work did, this paper proposes an idea of moving appropriate collaborative instances to the proper computing nodes which are just born in the emerging Cloud computing environments. Moreover, the paper presents a formal framework AORS to optimally organize the collaborative computing upon the emerging computational resources from the perspectives of both performance and cost. The formulization of the framework is proposed, and an analytic theory is developed. Directly solving the modeled problem has to refer to the exhaustive search, which is of exponential computational complexity; so we develop two heuristics. The experimental evaluations demonstrate the high efficiency and effectiveness of the heuristics. Furthermore, we conduct extensive simulation experiments on the current collaborative computing style and AORS. They illustrate that AORS brings the CSCW applications better communication quality and lower cost.