CN106649468B - CDN (content delivery network) content query method and system - Google Patents
CDN (content delivery network) content query method and system Download PDFInfo
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- CN106649468B CN106649468B CN201610855772.2A CN201610855772A CN106649468B CN 106649468 B CN106649468 B CN 106649468B CN 201610855772 A CN201610855772 A CN 201610855772A CN 106649468 B CN106649468 B CN 106649468B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9574—Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
Abstract
The invention relates to a CDN network content query method and a system thereof, wherein the system comprises a content element extracting module, a content grading and sequencing module and a content query module. A content element extraction module: after new content is added into a CDN node, the CDN network reads the content information and judges whether the content information contains a special mark or not, if the content does not contain the special mark, the CDN network directly extracts technical elements of the content information, and if the content contains the special mark, the CDN network updates the corresponding technical elements according to the special mark; the content scoring and sorting module: the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model to obtain specific scores of the content, and sorts different contents in an ascending order or a descending order according to the scores; a content query module: when a content request occurs, the CDN network performs fast query and transfer according to content ranking. The invention improves the efficiency of the sequential search algorithm on the basis of fully utilizing the storage space.
Description
Technical Field
The invention belongs to the technical field of information, and particularly relates to a CDN (content delivery network) content query method and a CDN content query system.
Background
The CDN technology is to allocate an access request of a user to a CDN node closest to the user, and the CDN node directly responds to the access request of the user, so that a resource storage manner and a query algorithm in the CDN node are particularly important. At present, query algorithms of resources in CDN nodes include a dynamic hash algorithm, a consistent hash algorithm, a sequential search algorithm, and the like. The access and insertion speed of the hash algorithm is high, but the hash algorithm cannot fully utilize the storage space, so that the storage space is wasted. Sequential lookup, while able to utilize memory space, is inefficient. The invention provides a CDN (content delivery network) content query method and system, aiming at solving the problem of low efficiency of a sequential search algorithm on the basis of ensuring the utilization rate of a storage space.
Disclosure of Invention
The invention aims to solve the technical problem of improving the efficiency of a sequential search algorithm on the basis of fully utilizing a storage space, and provides a CDN (content delivery network) content query method and a CDN content query system.
The technical scheme of the invention is premised on a CDN network content evaluation model and a CDN network content evaluation system. The implementation of the invention relies on a complete content delivery network (hereinafter referred to as CDN network). Resources stored in the CDN node are collectively referred to as content, and content with a special mark means that the content already has some abstractable special attributes when stored in the CDN node. The technical elements mentioned in the content evaluation method may include, but are not limited to, a content size, an access amount change rate, and the like.
The invention provides a CDN network content query method which comprises the following steps:
step 1, the CDN network reads content information added into a CDN node.
And after the new content is added into the CDN node, the CDN network reads the content information.
And step 2, the CDN network judges whether the content information contains a special mark.
After the new content enters the CDN network, the CDN network determines whether it has a special label.
And 3, extracting the technical elements of the content by the CDN network for content evaluation.
If the content has no special mark, the CDN network directly extracts the technical elements of the content; if the content contains the special mark, the CDN directly updates the corresponding technical elements according to the special mark.
And 4, enabling the CDN to enable the technical elements of the content to pass through a content evaluation model.
And the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model.
And 5, the CDN obtains content scores according to the content evaluation model and sorts the content scores.
The technical elements of the content are input into a CDN network content evaluation model to obtain a specific score of the content, and at the moment, the CDN network sequences different contents according to the score.
And step 6, the CDN network judges whether new content is added.
And (3) after finishing sequencing by the CDN network, detecting whether new content is added, if so, returning to the step (2), and if not, maintaining content sequencing.
And 7, rapidly inquiring by the CDN network according to the content sequence when the request occurs.
When a content request occurs, the CDN network performs fast query and transfer according to the ranking result of the content.
Thus, the CDN network content query method is ended. A method flow diagram is shown in fig. 1.
The CDN network content query system provided by the invention comprises a content extraction technical element module, a content scoring and sequencing module and a content query module.
1. The content extraction technical element module: after the new content is added into the CDN node, the CDN network reads the content information and judges whether the content information contains a special mark or not. If the content has no special mark, the CDN network directly extracts the technical elements of the content; if the content contains the special mark, the CDN directly updates the corresponding technical elements according to the special mark.
2. The content scoring and sorting module: and the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model and obtains a specific score of the content. At this time, the CDN network sorts the different contents according to the scores.
3. A content query module: and after finishing sequencing, the CDN detects whether new content is added, if so, extracts the content technical elements again for evaluation, and if not, maintains the content sequencing. When a content request occurs, the CDN network performs fast query and transfer according to the ranking result of the content.
A system block diagram of a CDN network content query system is shown in fig. 2.
The system and the method of the invention have the following two advantages:
(1) The query method can be abstracted to be a mathematical method, content resources are automatically evaluated through a computer language, and labor cost is greatly saved.
(2) On the basis of fully utilizing the storage space, the efficiency of the query and transfer algorithm is greatly improved.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
fig. 2 is a system block diagram of the present invention.
Detailed Description
The following is a detailed description of preferred embodiments of the invention.
In this example, the CDN network content query method and system of the present invention are applied to a certain CDN node.
In the embodiment, the content newly added to the CDN node contains a special mark, specifically, the resource has a certain inherent technical element. The CDN network content query method applied by the invention comprises the following steps:
step 1, the CDN network reads content information added into a CDN node.
And after the new content is added into the CDN node, the CDN network reads the content information.
And 2, judging whether the content information contains a special mark or not by the CDN network.
After the new content enters the CDN network, the CDN network determines that it has the special label.
And 3, extracting the technical elements of the content by the CDN network for content evaluation.
And the CDN directly updates the corresponding technical elements according to the special marks.
And 4, enabling the CDN to enable the technical elements of the content to pass through a content evaluation model.
And the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model.
And 5, the CDN obtains content scores according to the content evaluation model and sorts the content scores.
The technical elements of the content are input into a CDN network content evaluation model to obtain a specific score of the content, at the moment, the CDN network sequences different contents according to the score, and the sequence with high score is higher.
And step 6, the CDN network judges whether new content is added.
And (3) after finishing sequencing, the CDN detects whether new content is added, if so, the step (2) is returned, and if not, the content sequencing is maintained.
And 7, rapidly inquiring by the CDN network according to the content sequence when the request occurs.
When a content request occurs, the CDN network performs fast query and transfer according to the ranking result of the content.
Thus, the CDN network content query method ends.
In the second embodiment, the content newly added to the CDN node is not specially marked. The CDN network content query method applied by the invention comprises the following steps:
step 1, the CDN network reads content information added into a CDN node.
And after the new content is added into the CDN node, the CDN network reads the content information.
And step 2, the CDN network judges whether the content information contains a special mark.
After the new content enters the CDN network, the CDN network determines that it has no special marker.
And 3, extracting the technical elements of the content by the CDN network for content evaluation.
The CDN directly extracts technical elements of the content.
And 4, enabling the CDN to enable the technical elements of the content to pass through a content evaluation model.
And the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model.
And 5, the CDN obtains content scores according to the content evaluation model and sorts the content scores.
The technical elements of the content are input into a CDN network content evaluation model to obtain a specific score of the content, at the moment, the CDN network sorts different contents according to the score, and the ranking with high score is higher.
And step 6, the CDN network judges whether new content is added.
And (3) after finishing sequencing by the CDN network, detecting whether new content is added, if so, returning to the step (2), and if not, maintaining content sequencing.
And 7, rapidly querying the CDN network according to the content sequencing when the request occurs.
When a content request occurs, the CDN network performs fast query and transfer according to the ranking result of the content.
Thus, the CDN network content query method is ended.
The application of the CDN network content query system provided by the invention in the embodiment comprises a content extraction technical element module, a content grading and sequencing module and a content query module.
1. The content extraction technical element module: after the new content is added into the CDN node, the CDN network reads the content information and judges whether the content information contains a special mark or not. If the content has no special mark, the CDN network directly extracts the technical elements of the content; if the content contains the special mark, the CDN directly updates the corresponding technical elements according to the special mark.
2. The content scoring and sorting module: and the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model and obtains a specific score of the content. At this time, the CDN network sorts different contents according to the scores, and the higher score is higher in the ranking.
3. A content query module: and after finishing sequencing, the CDN detects whether new content is added, if so, extracts the content technical elements again for evaluation, and if not, maintains the content sequencing. When a content request occurs, the CDN network performs fast query and transfer according to the ranking result of the content.
Of course, those skilled in the art should realize that the above embodiments are only used for illustrating the present invention, and not as a limitation to the present invention, and that the changes and modifications of the above embodiments will fall within the protection scope of the present invention as long as they are within the scope of the present invention.
Claims (2)
1. A CDN network content query system, characterized by: the system comprises a content element extraction module, a content grading and sorting module and a content query module;
the content element extraction module is characterized in that: after new content is added into a CDN node, the CDN network reads the content information and judges whether the content information contains a special mark, wherein the special mark means that resources have certain inherent technical elements; if the content has no special mark, the CDN network directly extracts the technical elements of the content; if the content contains the special mark, the CDN network updates the corresponding technical elements according to the special mark; the technical factors comprise content size, access amount and access amount change rate;
the content scoring and sorting module is characterized in that: the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model to obtain specific scores of the content, and sorts different contents in an ascending order or a descending order according to the scores;
the content query module is characterized by: when a content request occurs, the CDN network performs fast query and transfer according to content sequencing.
2. A CDN network content query method is characterized by comprising the following steps:
step 1, a CDN network reads content information added into a CDN node;
step 2, the CDN network judges whether the content information contains a special mark, wherein the special mark means that the resource has certain inherent technical elements; the technical factors comprise content size, access amount and access amount change rate;
step 3, extracting technical elements of the content by the CDN network for content evaluation;
after the new content enters the CDN, firstly judging whether a special mark exists, and if the content does not have the special mark, directly extracting technical elements of the content by the CDN; if the content contains the special mark, the CDN network updates the corresponding technical elements according to the special mark;
step 4, the CDN network passes the technical elements of the content through a content evaluation model;
step 5, the CDN obtains content scores according to the content evaluation model and sorts the content scores;
the CDN network inputs the extracted technical elements of the content into a CDN network content evaluation model to obtain specific scores of the content, and sorts different contents according to the scores;
step 6, the CDN network judges whether new content is added;
after finishing sequencing, the CDN network detects whether new content is added, if so, the step 2 is returned, and if not, sequencing of the content is maintained;
step 7, when the request occurs, the CDN network carries out fast query according to the content sequence;
when a content request occurs, the CDN network performs fast query and transfer according to the ranking result of the content.
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