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Dynamic resource control capabilities have become increasingly important for academic networks that must support big scientific research projects at the same time as less data intensive research and educational activities. This paper describes the dynamic resource allocation and QoS control capabilities of the Japanese academic backbone network, called SINET3, which supports a variety of academic applications with a wide range of network services. The article describes the network architecture, networking technologies, resource allocation, QoS control, and layer-1 bandwidth on-demand services. It also details typical services developed for scientific research, including the user interface, resource control, and management functions, and includes performance evaluations.

SUMMARY Broadband communication via satellite systems finds applications in several contexts where other technologies are not available or economically not convenient. Examples are remote areas, disaster struck areas, or vessels/ships. The scarce availability and the high cost of the bandwidth impose to improve flexibility in bandwidth management and dynamic allocation, especially on the shared return link. Typically, this capability is available only to the satellite operator (SO). An innovative dynamic bandwidth management of satellite capacity for the return link has been developed and prototyped as an Internet protocol-based solution. This solution allows small operators renting bandwidth from the satellite operator and providing services to final customers, managing the permanently assigned resources in a flexible and efficient way. The scope of the paper is to illustrate this technique to achieve the dynamic bandwidth management for a subgroup of satellite terminals (subdomain) by using a centralized controller and distributed software with IP shaping capabilities, without interacting with the satellite operator. This approach has been applied in particular to a satellite maritime ship owner, which is thus able to dynamically distribute capacity among satellite terminals installed onboard of its ship fleet as required, as a network operator. The presented results are the outputs of simulations performed with the NS2 simulator and tests by using real hardware. Copyright © 2014 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

In this paper we develop a novel multiple-classes-of service framework where offered prices and QoS are allowed to be actively modified by the provider, depending on the demand and the congestion of the system. We obtain a solution to the problem by using dynamic programming. These results are then extended to a network environment using a decomposition approach. The decomposition approach makes our solution scalable, since single-link solutions are used and minimal amount of information is explicitly exchanged. Assessments carried out for small networks show that the obtained income is improved between 2%-20% when compared to a static approach and to other approaches where only price or quality are allowed to be adaptive. [ABSTRACT FROM PUBLISHER]