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In recent years, as the rapid development of the technology about Peer-to-Peer (P2P) networks and the cloud computing technology, various applications of P2P technology become very widespread in most cloud computing distributed network applications. P2P cloud computing networks are unstructured and are an important component to implement next generation internet. How to quickly and efficiently search the resources in P2P networks has become one of the most critical issues, and it is one of the greatest concerns to users. This paper first describes the basic flooding P2P network search method, which is from the analyzing the pros and cons of several new search methods. After that, a cache-based search algorithm is proposed: When a node of the remaining load capacity is high, it will become the center node and form a joint topology area with the nearby nodes together, then the center node and ordinary nodes also need to store the index cache. At the local region the overheating resources will be copied to the local (that is, the contents cache). The simulation results show that the algorithm can effectively improve the hit rates of resources searching, and reduce the query delay in cloud computing networks.