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Distributed data task cross-cloud scheduling system and method

A scheduling system and distributed technology, applied in the field of electronic information, can solve the problems of complex implementation and low efficiency, and achieve the effect of ensuring scalability, realizing cross-cloud processing, and improving scalability.

Active Publication Date: 2021-08-06
西安易联趣网络科技有限责任公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the shortcomings of complex and inefficient implementation of job scheduling and dependency management in big data processing in the above-mentioned prior art, and provide a distributed data task cross-cloud scheduling system and method

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  • Distributed data task cross-cloud scheduling system and method

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Embodiment Construction

[0021] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0022] It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate ...

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Abstract

The invention belongs to the technical field of electronic information, and discloses a distributed data task cross-cloud scheduling system and method. The distributed data task cross-cloud scheduling system comprises a main node server, a plurality of working node servers and a plurality of cloud platforms; a first RPC server, a queue unit, a workflow analysis unit and a first job analysis unit are arranged in the main node server; and a second RPC server, a second operation analysis unit and an actuator generation unit are arranged in each working node server. According to the distributed data task cross-cloud scheduling system and method, dependency management of data tasks is achieved, distributed scheduling management of different working node servers is achieved, the expansibility of the working node servers is greatly improved, different data tasks can be supported to run in one set of cross-cloud scheduling system to the maximum extent, cooperative calling of multiple cloud platforms is achieved for the same data task, cross-cloud processing of the data tasks is achieved, the problem that an existing scheduling system cannot cross multiple public cloud services is solved, and the expandability of the cloud platforms is ensured.

Description

technical field [0001] The invention belongs to the technical field of electronic information, and relates to a distributed data task cross-cloud scheduling system and method. Background technique [0002] Big data processing is currently a very common technical means in all walks of life. However, with the increase in the amount of data and business volume of technology companies in various industries, big data tasks have shown the following characteristics: the amount of data is getting larger and larger, and the processing of data There are more and more job tasks and the relationship is complicated. With the popularity of public cloud, data storage locations are diversified, including local storage, public cloud storage, and private cloud storage, etc.; and data jobs depend on different local environments, scheduling tasks Execution machines become diverse. [0003] Faced with the above characteristics, the scheduling of data job tasks has become extremely complicated a...

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Application Information

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IPC IPC(8): G06F9/54G06F9/46G06F9/48
CPCG06F9/547G06F9/4881G06F9/465Y02D10/00
Inventor 刘周龙刘敬帅
Owner 西安易联趣网络科技有限责任公司
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