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Mixed data stream collaborative scheduling method in cloud data center network

A cloud data center and collaborative scheduling technology, applied in the field of cloud computing, can solve the problem of sacrificing the throughput index of throughput-intensive data flow in the data center network

Active Publication Date: 2017-12-08
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

However, Qjump significantly sacrifices throughput metrics for throughput-intensive data flows in data center networks

Method used

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  • Mixed data stream collaborative scheduling method in cloud data center network
  • Mixed data stream collaborative scheduling method in cloud data center network
  • Mixed data stream collaborative scheduling method in cloud data center network

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Embodiment Construction

[0040] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that for those of ordinary skill in the art, several changes and improvements can be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0041] The data flow in the data center can be roughly divided into query flow (2KB to 20KB), delay-sensitive short flow (100KB to 1MB) and throughput-intensive long flow (1MB to 100MB). Compared with long flow, query flow and Short streams are more sensitive to delay. These streams are usually generated by user interaction, such as submitting search queries, obtaining order lists, and so on. The long stream can be downloading large data files, disk backup and so on. Users generally don'...

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Abstract

The invention provides a mixed data stream collaborative scheduling method in a cloud data center network. The method mainly comprise two aspects: a time-based scheduling triggering algorithm for a delay sensitive flow and an event-based scheduling triggering algorithm for a throughput-intensive flow, wherein the time-based scheduling triggering algorithm ensures that the delay sensitive data flow can be allocated to a transmission time period with a highest transmission priority, the event-based scheduling triggering algorithm adopts a non-congestion scheduling rule, fully utilizes the bandwidth resource of the whole data center, and allocates network transmission bandwidth for the data flow according to appearance of a throughput-intensive task while ensuring the transmission performance of the delay sensitive data flow. Through adoption of the method, both high throughput and low delay are realized at the same time in the data center network, and transmission accuracy rate of all delay sensitive data flows is ensured.

Description

Technical field [0001] The present invention relates to cloud computing technology, in particular to a method for collaborative scheduling of mixed data streams in a cloud data center network. Background technique [0002] With the rapid development of cloud computing technology, the scale of data centers and the number of supporting services are increasing exponentially, which promotes the continuous integration of data center infrastructure, supporting systems, resource virtualization, dynamic migration, business information systems, etc. With the continuous development of technology, at the same time, the data center network that plays a core role in the data center is also constantly evolving. [0003] The load of different network applications in the data center varies greatly, leading to different aspects of the problem in the actual network. Many distributed systems, such as MapReduce, Hadoop, and TritonSort, have a great demand for network bandwidth resources. Usually thes...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/875H04L29/08H04L47/56
CPCH04L47/56H04L47/564H04L67/10
Inventor 姚建国彭博管海兵
Owner SHANGHAI JIAO TONG UNIV
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