SUMMARYReservation aggregation provides scalability to the IETF Integrated Services (IntServ) by reducing the high number of states stored at internal routers and the number of signaling messages processed at these routers. However, in the case of frequent joining and leaving of individual flows, the latter benefit will be lost due to frequent adjustment of aggregation size. In this paper, to reduce aggregation adjustment frequency, we focus on investigating two critical parameters: aggregation size and the lower threshold. We propose two policies to find out the optimal values of these criteria. One policy called Two Bounded operating Policy (TBP) is parameter-based policy and the other called Resource request Variance Policy (RVP) is measure-based policy. The calculation of these optimal values considers three costs: underutilization cost, signaling cost and holding cost. In our evaluation study, we compare the proposed two policies with two others, Temporal Operating Policy (TOP) and Cardinal Operating Policy (COP). This study shows that our mechanisms outperform the previous propositions in terms of cost and blocking ratio.