Performance of Inconsistent Networks

The interconnected networks have many policies and traffic environments. The inconsistency between networks results in set of conflictions that debase the entire performance. The convergence process takes sometime to adapt the sub-networks, this lags the service time at all levels. The inconsistency between the sub-networks during this paper concerns on ten elements: Packet Length (PL) and format, Time assigned for signal To Life (TTL), throughput, bandwidth (BW) of bottlenecks, error manipulation, damping parameters, routing algorithms, Sub-networks Address Translation (SAT) protocols, routing polices and management protocols. This paper discusses also the mutual performance and performs a set of simulation experiments to estimate the interoperability and performance of the entire network. The entire results show that increasing the inconsistency level results in debasing the entire performance. The individual networks have different PL's and formats. Moving from one format to another consumes an extra time delay for segmentation and re-assembly (SaR). This delay depends on traffic load and formats on both networks' sites. TTL, damping parameters, QoS parameters and error management tools vary from one network to another at all OSI management layers. Traffic intensities ; bottlenecks like hubs, switches and routers; BW of NE's ; congestion and erroneous traffic cause damping that debases the network serviceability. Network serviceability vary according to the capabilities of infra-structures. The manner that each network deals errors varies depending on the Available Bandwidth (AB), Class of Service (CoS) and congestion level. The main schemes are: fixing the faulty signals, requesting another correct copy or use a combination of both schemes. The increase of congestion level results in violation of damping factors[1]. The performance metrics like delay, QoS and reliability vary among most of the internetworking layers. The variety in routing schemes, transfer rate, transfer mode and admission control protocols result in inter-networking conflictions. ATM infra-structures match many inconsistent networks that handle variable and unspecified bit rates at real and non-real time [1]. Traffic control metrics in ATM fulfill the least TTL using tools like Cell Loss Priority (CLP), Available Bit Rate (ABR), Allowed Cell Rate (ACR), Peak Cell Rate (PCR) and Maximum Cell Delay (MCD). Routing have a main effect on network performance. Routers select the proper routes and deliver the messages through them. Tools for selecting the proper paths and tools of delivering messages, differ from one network to another. Inter-domain Routers (IR) perform Address translation Tables (AT) to guide traffic between sub-domains[2]. Tools to handle …