In emergencies cases, the main problem is how to arrive to an incident location in a minimum time. In such cases, using the classical distance based routing techniques does not always provide the optimal path in the time needed. In this paper, we present an enhanced routing technique which is based on Dijkstra's algorithm and Analytical Hierarchical Processing (AHP). Eight impendence factors that cause latency in emergency situations are analyzed using the AHP technique to give an overall weight for every road in Greater Cairo Region (GCR) road network. Then, the classical Dijkstra's algorithm applied on the weighted road network to give the best path between any two nodes in the network. The eight impedance factors considered are: Road Length, Travel Time, Road Type, Road Width, Velocity Limits, Traffic Volume, Mass Density, and Junction Delay. The suggested routing approach is implemented as a mobile application, and a comparison with the classical Dijkstra's algorithm is performed. The results show that the enhanced routing technique is more reliable than the classical one and more suitable for emergencies situations.

Nowadays the fast growth and evolution on technologies such as cloud computing, mobile computing and geographic information systems (GIS) inherently exhibit spatiotemporal phenomena. These technologies have created opportunities for business implementation that utilize advanced mapping, mobile field-based applications and location aware systems. The capability to process and handle a big volume of data using cloud computing and to access location information via mobile have made GIS technology utilizes more widely. In this paper, we introduce a new mobile GIS cloud computing architecture that increase the efficiency of processing by decreasing the transmission time for data this is based on decreasing the size of transmitted data. The mobile geographic patrolling system based on cloud GIS has great significance for the development of gas pipeline patrolling. We propose pipeline patrolling prototype system which utilizes such technology.

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Abstract-Transaction is an important concept in the database systems, it moves the database from consistent state to a new consistent state, so that users trust the information retrieved from information systems. A mobile user usually works offline, when connecting to the system, he needs to synchronize his work with the primary database server and updates his local copy, but database may be changed while he is working offline. In this paper we introduce the M-Shadow-Agent model which is a modification of the M-Shadow technique to avoid mobile disconnection problems and handling data changing problem while the mobile user is disconnected or working offline, by using the actionability and the business rules. It increases the transaction success probability, and reserves database consistency. In this paper, the solution concerns on avoiding disconnection, and transaction is not divisible and transaction is one compound transaction only.

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