There has been a great development in Wireless GIS (WGIS) new century. Spatial data transferring and storage in GIS are developed from wired to wireless network. This paper first briefly introduces the technologies and strategies of spatial data transferring and storing in distributed Wireless GIS. Secondly, the schemes of spatial data transferring modes in wireless GIS for improving the networ...

There has been a great development in Wireless GIS (WGIS) new century. Spatial data transferring and storage in GIS is developed from wired to wireless network. This paper first briefly introduces the technologies and strategies of spatial data transferring and storing in distributed Wireless GIS. Second, the schemes of spatial data transferring modes in wireless GIS for improving the network t...

Dynamic replication can be used to reduce bandwidth and access latency in high performance “data grids” where users require remote access to files that are large: on average, around two Gigabytes. Different replication strategies are defined depending on when, where, and how the replicas are created and destroyed. We describe a simulation framework that we have developed to enable comparative s...

Data Grid is a type of Grid Computing systems whichis designed to provide geographically distributed data resources to large computational problems that require mining and evaluating large amounts of data. Managing this data in a centralized location increases the data access time and hence much time is taken to execute the job. So to reduce the data access time, "Replication" is used. Data rep...

Data replication in data grid systems is one of the important solutions that improve availability, scalability, and fault tolerance. However, this technique can also bring some involved issues such as maintaining replica consistency. Moreover, as grid environment are very dynamic some nodes can be more uploaded than the others to become eventually a bottleneck. The main idea of our work is to p...

This paper analyzes how financial researchers manage large numbers of time series and how they work with these data. We show that replication services are a central facility of a time series management system and we define the requirements for such replication services. An evaluation of current time series management systems shows that they do not support replication. Neither replication system...

Data grid is a distributed collection of storage and computational resources that are not boundedwithin a geophysical location. It is a fast growing area of research and providing efficient data access andmaximum data availability is a challenging task. To achieve this task, data is replicated to different sites. A number of data replication techniques have been presented for data grids. All re...

Data Grids are today’s emerging infrastructure providing specialized services on handling large datasets that needs to be transferred and replicated among different grid sites. Data replication is an important technique for data availability and fast access. In this paper we present a comparison of various replication models and techniques employed by some major topologies used in data grid env...

This paper analyzes how financial researchers manage large numbers of time series and how they work with these data. We show that replication services are a central facility of a time series management system and we define the requirements for such replication services. An evaluation of current time series management systems shows that they do not support replication. Neither replication system...

ABSTRACT. Data Grid is an infrastructure that manages huge amount of data files and provides intensive computational resources across geographically distributed collaboration. To increase resource availability and to ease resource sharing in such environment, there is a need for replication services. Data replication is one of the methods used to improve the performance of data access in distri...