| In the future high-tech war, the tactical communication network will be the neuralsystem of the information-based battlefield, and at the same time, the network-centrictendency will be increasingly visible in the future war. The next generation of tacticalnetworks, as the platform, which carry all kinds’ application information of the wholearmy, it must provide the strategic, operational, and tactical application and the transfercapability of the QoS for end-to-end information. Along with the awareness of thebattlefield situation and the development of communication applications that consist ofvoice to multimedia, the traffic of the next generation communication will increase in ageometric trend; at the same time, the next generation tactical networks have manyproblems. It will be in wicked circumstance, the topology will be changed easily,multiform wireless narrow-band links will be applied largely, and the difference of thelinks’ transmission quality is prodigious. Resource is the basis of the network thatprovides business ability, so the significance of the resource control technology researchon next generation tactical network is critical, and the technology can perfect the Qos ofthe end-to-end corresponding network.There are many kinds of network resources, such as link resources, computingresources. This paper focuses on the research of link bandwidth resources which are themost important on the next generation of tactical network, specifically to dynamicsensing the state (available bandwidth, delay, packet loss rate) of resource in thenetwork link bandwidth, and on the basis, it distributes and provides one or a pluralityof end to end “connect†path for the authorized business flow. In the current network,the restriction routing is realized by network flooding exploration through the servicenode, and this centralized network entity node flooding will lead to a large time delayand large link spending. This paper presents a new mechanism which is similar to cloudcomputing. The theory is below: calculating routing by resource center, resource centerdynamically sensing the network topology and resources, forming a two-dimensionalresources matrix. During the calculation, the algorithm calculates the matrix only in thecentral node, which has no influence on the entire network entity node. After the calculation the result will be returned to the requesting node, and LSP will be builtwith the combination of MPLS-TE flux engineering. The mainly study contents of thetopic are as follow:1ã€search the topology of the whole network automatically, vote in the node of theresource computing center automatically and announces to the whole network, and thecenter node also can be optimized and shifted in the running network.2ã€a detailed study of the dynamic perception and plug-and-play technology ofresource, the resource computing center can control the whole network resources in realtime, forming and maintaining a N*N two-dimensional resource matrix.3ã€a detailed study of the resource control technology, a business node submitsbusiness request to computing center, and according to resource matrix that maintainedby the node, computing center can produce a path that satisfies business flow byalgorithm, and establish LSP. |