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A survey of avoidance of bottleneck in PCS network

According to the analysis of the load in HLR, we suggest replicating the HLR in order to increase its capacity and reliability. This paper is literature survey of our fourth year project. | ISSN:2249-5789 Alkaet al , International Journal of Computer Science & Communication Networks,Vol 2(6), 663-669 A Survey of Avoidance of Bottleneck in PCS Network Sidhi Pandey ITM GIDA, Gorakhpur Pratima Singh ITM GIDA, Gorakhpur Abstract: This term paper focuses on the various replication techniques to replicate HLR in PCS network. Replication is the key strategy for improving reliability, fault tolerance and availability in Distributed System. Personal Communication Service (PCS) network is the integration of cellular Network and conventional wired network. To support user mobility, the locations of the mobile stations (MSs) should be constantly tracked using a database. The widespread deployment of PCS will lead to a tremendous increase in the number of updates and queries to the location database. The centralized, stand-alone Home Location Register (HLR) in GSM can be a potential bottleneck. In case of the location database failure, incoming calls may be lost. According to the analysis of the load in HLR, we suggest replicating the HLR in order to increase its capacity and reliability. This paper is literature survey of our fourth year project. Keywords: mobile computing, replication, location management, HLR, replicated databases, PCS. 1. Introduction To support user mobility, the PCS networks have to store and maintain location information of mobile stations (MSs) so that an incoming call can be delivered to the target MS. The operations on location information consist of location updates and location queries. An update occurs when an MS changes location. A query occurs when an MS needs to be located, e.g., to deliver an incoming call to this MS [1]. The widespread deployment of PCS will lead to a tremendous increase in the number of updates and queries to the location database. Thus, a key challenge to location management is to develop efficient database architecture so that the location data can be readily available for signaling such as call setup .