Content-Centric Networking (CCN) is a novel network paradigm, which aims at moving from the traditional host-to-host network model to a client-to-content one. This shift brings many benefits but also leads a big challenge on the hardware technologies for implementing CCN nodes. For example the Pending Interest Table, one critical component in a CCN node, is involved in every CCN message forwarding process, and needs to be updated every time a packet comes in. The implementation of this table requires a memory that is fast for short access time and also large enough for storing the pending Interests. Unfortunately today's memory technologies cannot meet these requirements with the current hash-based architecture. After highlighting this limitation, we present a distributed PIT architecture which is based on the Bloom filter structure. The evaluations validate that our solution can reduce the PIT table size and support higher packet arrival rate. Our solution allows to implement this component on today's fast memory like SRAM. Therefore this proposal can improve the content fetching performance and improve the quality of content delivered in CCN network.