Video on Demand services generate the Jargest amount of traffic in networks nowadays. Previous works have proposed integrating Content Delivery Networks (CON) and Peer-to-Peer (P2P) networks to satisfy this demand. However, their analytical methods do not consider al) the factors that affect the performance of these systems. Hence, we present a nove) comprehensive framework, based on a fluid mode), to evaluate VoD services over hybrid CDN-P2P systems. The proposed framework considers features of the service (e.g., size, coding-rate and popularity of the video), network attributes (e.g., upload data-rate capacity of servers and peers) and char acteristics of the behavior of the users (e.g., sojourn time, cooperativeness and frequency of random-seeks). Our framework allows a system to be evaluated under a wide variety of scenarios in terms of network-cost and Quality-of-Service (QoS) parameters and is flexible enough to mode) different resource allocation schemes, including a nove! scheme to distribute the upload network capacity. Despite the wide variety of considered factors, our framework is tractable and as accurate as discrete-models based on Markov chains.