Abstract: The Internet bandwidth capacity expansion,on the other hand,is lagging behind,making the Web a major performance bottleneck．For solving the crowd of Internet network and improving the responding rate of users accessing the webpage,we need a new policy of cache resource distribution．This paper investigated and developed a new bio-inspired parallel Cell Optimization Algorithm (COA) for parallel cache resource allocation of Content Delivery Network (CDN)．To simulate the functions of cell system,models of COA,including the nuclear,cytoplasm consistency,affinity of cells,hybrid energy function and dynamical evolution of cells,were built biologically and mathematically．Furthermore,the parallel computing architecture and steps of COA were designed．Via numerous simulations and comparison with other classical algorithms,the characters of high efficiency,parallel distribution and effectiveness for CDN were illustrated,which are especially crucial for the functioning of large-scale distribution problems.

Key words: Content delivery betworks (CDN),Cache resource allocation,Cell optimization algorithm,Distributed and parallel algorithm