With the growth of network traffic volume, link congestion cannot be avoided efficiently with conventional routing protocols. By utilizing the single shortestpath routing algorithm from link state advertisement information, standard routing protocols lack of global awareness and are difficult to be modified in a traditional network environment. Recently, software-defined network (SDN) provided innovative architecture for researchers to program their own network protocols. With SDN, we can divert heavy traffic to multiple paths in order to resolve link congestion. Furthermore, certain network traffics come in periodic fashion such as peak hours at working days so that we can leverage forecasting for resource management to improve its performance. In this paper, we propose a proactive multipath routing with a predictive mechanism (PMRP) to achieve high-performance congestion resolution. PMRP has two main concepts: (a) a proactive mechanism where PMRP deploys M/M/1 queue and traffic statistics to simulate weighted delay for possible combinations of multipaths placement of all subnet pairs, and leverage genetic algorithm for accelerating selection of optimized solution, and (b) a predictive mechanism whereby PMRP uses exponential smoothing for demand traffic volumes and variance predictions. Experimental results show a 49% reduction in average delay as compared with single shortest routing, and a 16% reduction in average delay compared with utilization & topology-aware multipath routing (UTAMP). With the predictive mechanism, PMRP can decrease an additional 20% average delay. Furthermore, PMRP reduces 93% of flow table usage on average as compared with UTAMP.links. Furthermore, periodically updating the link weights provided by link state advertisement is insensitive for network congestions. In addition to congestion resolution, there are no forecasting functions for resource management. The network pattern also has locality phenomenon such as daily rush hours so that we can leverage it for bandwidth allocation in routing mechanism. However, it is difficult to modify standard routing protocols in conventional distributed network architecture, and it is impossible to replace every individual commodity router to provide better congestion control algorithms.Recent work on software-defined network (SDN) architecture 1 separates the control plane from data plane and provides programmable Application Programming Interface (API) for provisioning and management. With a centralized controller, a global view of network topology with status can be obtained, and researchers could implement network protocols easily in the SDN environment. However, flow tables in SDN switches are limited resources, and care has to be taken with use of flow entries. If we design a routing management mechanism according to host pairs, the number of flow entries will increase dramatically and will rapidly exceed the limits of the hardware. One would consequently like to manage the flows based on subnet pairs for better flow table utilization. For exa...

Internet has played an important part in the success of information technologies. With the growing and changing demands, there are many limitations faced by current Internet. A number of network testbeds are created for solving a set of specific problems in Internet. Traditionally, these testbeds are lacking of large scale network and flexibility. Therefore, it is necessary to design and implement a testbed which can support wide range of experiments and has the ability of programmable network. Besides, there has been a big change enabled by cloud computing in recent years. Although networking technologies have lagged behind the advances in server virtualization, the networking is still an importance component to interconnect among virtual machines. There are also measurement issues with growing number of virtual machines in the same host. Therefore, we also propose integrating management functions of virtual network in our testbed. In this paper, we design and create a Future Internet testbed in Taiwan over TWAREN Research Network. This testbed evolves into an environment for programmable network and cloud computing. This paper also presents several finished and ongoing experiments on the testbed for multiple aspects including topology discovery, multimedia streaming, and virtual network integration. We will continue to extend our testbed and propose innovative applications for the next generation Internet.

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