Differentiated end-to-end Internet services using a weighted proportional fair sharing TCP
ACM SIGCOMM Computer Communication Review
An integrated congestion management architecture for Internet hosts
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
ACM SIGCOMM Computer Communication Review
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
Bandwidth tradeoff between TCP and link-level FEC
Computer Networks: The International Journal of Computer and Telecommunications Networking
The effects of systemic packet loss on aggregate TCP flows
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Experimental studies using photonic data services at IGrid 2002
Future Generation Computer Systems - iGrid 2002
Scalable TCP: improving performance in highspeed wide area networks
ACM SIGCOMM Computer Communication Review
FAST TCP: motivation, architecture, algorithms, performance
IEEE/ACM Transactions on Networking (TON)
A blind method towards performance improvement of high performance TCP with random losses
WWIC'06 Proceedings of the 4th international conference on Wired/Wireless Internet Communications
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The diversity of the networks (wired/wireless) prefers a TCP solution robust across a wide range of networks rather than fine-tuned for a particular one at the cost of another. TCP parallelization uses multiple virtual TCP connections to transfer data for an application process and opens a way to improve TCP performance across a wide range of environments – high bandwidth-delay product (BDP), wireless as well as conventional networks. In particular, it can significantly benefit the emerging high-speed wireless networks. Despite its potential to work well over a wide range of networks, it is not fully understood how TCP parallelization performs when experiencing various packet losses in the heterogeneous environment. This paper examines the current TCP parallelization related methods under various packet losses and shows how to improve the performance of TCP parallelization.