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Content-Centric Network (CCN) emerges as a promising network architecture. In CCN, each node is cache-equipped, so one of the most important issues is how to cache content chunks in different networks to optimize the network performance. Meanwhile, the Internet is gradually becoming a social-oriented network. Therefore, it is essential to include social characteristics into the network traffic model. Social links have a direct influence on the network delivery efficiency and we can utilize social information to lighten network load. This paper proposes a novel caching strategy based on nodes' importance to social communities in CCN. We utilize social information and spectrum of graph to divide the network into several social Autonomous Sections (sociAS). In each sociAS, we choose the influential node to cache popular contents according to node's rank. By this means, the node with the highest rank can pro-actively cache contents and distribute contents to others. Different from other caching schemes, we combine physical attribute of network with users' social behaviors to realize caching decisions. Extensive simulation results demonstrate that our scheme achieves better caching performance, including: cache hit ratio, cache hit distance, delay of download and server load saving.

The Content-Centric Network (CCN) is a very important structure in the future network, in which every node has caching ability. Caching strategy has a decisive influence on the performance of the CCN. In this paper, an Autonomous System Collaboration Caching Strategy (ASCCS) is proposed to achieve the explicit collaboration, reduce the cache redundancy, improve the cache utilization rate and increase the cache hit rate. Firstly, the network is divided into several Autonomous Systems (AS) before carrying out the centralized control. Then we select the control nodes according to the betweenness and the cache replacement rate of the nodes. Each AS is centralized controlled by the control node. At the same time, the selected control node computes the popularity statistics of different contents to determine the suitable cache policy for them. Under this strategy, nodes in the same AS cooperate with each other, which improves the transparency of the network cache, and thereby achieve the cache performance gain of the CCN. It makes the optimal performance of the cache become possible.

Currently, most manufacturing products in Zhejiang are in urgent need of upgrade with excess resource consumption and low production efficiency, facing land, energy and environmental constraints, and the environmental pollution is serious but with low added value. While the modern producer services can lower transaction costs of manufacturing and help to promote industrial concentration and economic growth; to improve production efficiency, effectiveness and operational efficiency of manufacturing; and play an important role in upgrading and competitiveness promotion of the manufacturing industry. This paper argue that the performance of the whole interaction of the modern service industry and manufacturing industry in Zhejiang Province is in the early stages of interactive development, and we should make efforts to promote competition and break the monopoly of services administration by opening up of modern service industry, building interactive information platform for manufacturing and modern services to facilitate the upgrading of manufacturing and development of modern service industrial clusters.