An Agent-based centerless heterogeneous space-time data storage system and method

Abstract

The invention discloses an Agent-based centerless heterogeneous space-time data storage system and method. The system comprises a storage area establishment module, a storage area scheduling module and a storage area management module, The storage area establishing module is used for establishing a plurality of storage areas, the storage areas are directories, services or equipment with storage capability, and each storage area runs an Agent service; The storage scheduling module is used for retrieving an appropriate storage area as a storage area of the data according to the storage attributeof the space-time data, operating the Agent service of the storage area and executing related operation; And the storage area management module is used for uniformly managing the storage areas. The system supports data storage of various types of data, a distributed hybrid storage engine is adopted, remote data virtual integration and intelligent storage management are adopted, and storage and management of mass heterogeneous space-time data are achieved.

Description

technical field [0001] The invention relates to a data storage modeling management technology, in particular to an Agent-based system and method for storing heterogeneous spatio-temporal data without a center. Background technique [0002] Spatio-temporal data is a kind of data with complex structure, multi-layer nesting, natural, human and social information of geographical elements (or phenomena) directly or indirectly related to location, with high-dimensional characteristics of space, temporality and attributes. With the development of earth observation and location service technology, people have collected a large amount of heterogeneous multi-source spatio-temporal data such as high-resolution remote sensing data, basic geographic data, aerial images, GPS trajectory data, etc. through professional sensor equipment. The popularity of online spatial applications such as Web Geographic Information System (WebGIS) and Location-Based Social Networking Service (LBSNS) enable...

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Problems solved by technology

[0003] Large-scale massive heterogeneous spatio-temporal data will encounter the following problems during the construction and operation of traditional storage systems: first, there may be more types of storage devices or services; second, in massive spatio-temporal data, different data The type needs to be analyzed which storage device to put in; third, the existing storage device of the system may be dynamically expanded or new storage devices may be added; fourth, traditional storage technologies do not have a unified management standard, and different service providers have different Management interface, the staff of the data center must have a comprehensive understanding of various storage products in order to manage better, and the management work is difficult and complicated

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