Distributed caching mechanism for multi-source heterogeneous electronic commerce big data

A multi-source heterogeneous, high-speed caching technology, applied in electrical digital data processing, memory systems, instruments, etc., can solve problems such as expanding servers and implementing difficulties, saving resources, improving cache response speed, and reducing load.
CN106528448AInactive Publication Date: 2017-03-22杭州数强网络科技有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
杭州数强网络科技有限公司
Publication Date
2017-03-22
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention puts forward a distributed caching mechanism for multi-source heterogeneous electronic commerce big data. The distributed caching mechanism comprises three levels of cache locations which are respectively a thread cache, a virtual machine cache and a cluster cache; along with the raising of a hierarchy, cache access efficiency is lowered, maintenance cost is increased, a cache capacity is increased, ability for providing cache service is higher, cache layering can further improve cache response speed, and system resources are saved.
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Description

technical field

[0001] The invention belongs to the technical field of computer caching, and in particular relates to a distributed caching mechanism for multi-source heterogeneous e-commerce big data. Background technique

[0002] With the continuous application of mobile Internet, Internet of Things, cloud computing and other emerging information technologies in the field of e-commerce, the global data volume is showing an unprecedented explosive growth trend. At the same time, complex features such as the diversity of data types and sources, the real-time nature of data generation and analysis, and the low value density of data are becoming increasingly prominent. E-commerce big data is generated in real time along with the behavior of consumers and enterprises, and is widely distributed on e-commerce platforms, social media, smart terminals, internal systems of enterprises and other third-party service platforms. There are various types of e-commerce data, including con...

Claims

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