CN108848533A - A kind of adaptive load balancing method based on mobile terminal active feedback - Google Patents
A kind of adaptive load balancing method based on mobile terminal active feedback Download PDFInfo
- Publication number
- CN108848533A CN108848533A CN201810358671.3A CN201810358671A CN108848533A CN 108848533 A CN108848533 A CN 108848533A CN 201810358671 A CN201810358671 A CN 201810358671A CN 108848533 A CN108848533 A CN 108848533A
- Authority
- CN
- China
- Prior art keywords
- node
- mobile terminal
- server node
- streaming media
- media service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000003044 adaptive effect Effects 0.000 title claims abstract description 7
- 239000013256 coordination polymer Substances 0.000 claims description 6
- 230000015572 biosynthetic process Effects 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 238000003786 synthesis reaction Methods 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 description 6
- 238000012360 testing method Methods 0.000 description 6
- 238000004883 computer application Methods 0.000 description 5
- 230000000694 effects Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
- 241000283973 Oryctolagus cuniculus Species 0.000 description 2
- 238000002474 experimental method Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 241001282153 Scopelogadus mizolepis Species 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W28/00—Network traffic management; Network resource management
- H04W28/02—Traffic management, e.g. flow control or congestion control
- H04W28/08—Load balancing or load distribution
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/60—Network streaming of media packets
- H04L65/61—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
- H04L65/611—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for multicast or broadcast
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
- H04L65/80—Responding to QoS
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1004—Server selection for load balancing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W36/00—Hand-off or reselection arrangements
- H04W36/16—Performing reselection for specific purposes
- H04W36/22—Performing reselection for specific purposes for handling the traffic
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Multimedia (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a kind of adaptive load balancing methods based on mobile terminal active feedback, including:Step 1, SMSS is put into be switched queue lower than the child node of threshold value A periodically to the SMSS of his father's node feeding back itself by child node;Step 2, if SMSS is 3 grades, switching request is sent to control centre, executes step 3, otherwise return step 1;Step 3, control centre determines the destination server node of switching, and destination server node address, port number information are sent to the mobile terminal child node for needing to switch;Step 4, child node sends switching request to destination server node;Step 5, after the completion of switching, destination server node SMSS is recalculated, notice control centre switches the next node in be switched queue;Step 6, if all child nodes switch out in be switched queue or cycle time terminates, terminate process, otherwise return step 1 continues to execute.
Description
Technical field
The present invention relates to a kind of adaptive load balancing methods based on mobile terminal active feedback.
Background technique
Mobile application layer multicast network is a kind of ad hoc deployed wireless networks being made of mobile node, and the network is using application
Layer multicasting technology realizes the communication between multiple network node groups, with very strong robustness and very high survival ability and flexibly
Property, in today of mobile network's broad development, mobile application layer multicasting technology has increasingly becomed the hot spot of research.
In Communication Highlights area, the request amount of Internet resources may excessively be caused because mobile terminal is than comparatively dense
Part terminal cannot obtain requested resource, and the requirement of user is not achieved, and the poor situation of streaming media service quality occur;And
In non-hot area, then it is possible that mobile terminal is than sparser, so that a large amount of Internet resources are idle, cause resource unrestrained
Take.It overall system resources and underuses, and without providing good quality of service guarantee for user, causes entirely in this way
System performance decline.
For the problem, traditional application layer multicast load-balancing mechanism is all based on the network to each field service device
Request is monitored, and the server excessive for network request is asked a part of load excessive using corresponding distributing strategy
It asks and is switched on the server there are also remaining load, preferable load balancing effect can be reached, but with the hair of mobile network
Exhibition, end flow continue to increase, and network request is intensive and is not fixed, and traditional load-balancing mechanism, which has been unable to meet, to be needed
It asks.
Summary of the invention
The present invention have been directed to the deficiencies in the prior art, disclose a kind of self-adapting load based on mobile terminal active feedback
Equalization methods, the present invention in, the mobile terminal in network is considered child node, father node is server node, including
Following steps:
Step 1, mobile terminal child node periodically (general period distances be 10 seconds) to its father node, that is, server section
The streaming media service satisfaction SMSS (Streaming Media Service Satisfaction) of point feedback itself, and will stream
Media services satisfaction is put into be switched queue lower than the mobile terminal child node of threshold value A;
Step 2, each server node is according to feedback information, by the streaming media service satisfaction of region where server node
3 grades are divided into, if grade is 3 grades, (control centre can be the higher calculating of calculated performance to control centre
Machine) switching request is sent, step 3 is executed, otherwise return step 1;
Step 3, control centre is after receiving switching request, by the load state for calculating other non-hot server nodes
And it is made to the destination server node (bibliography weighted to determine switching with request server nodal distance:Mohamed
N,A1-Jaroodi J,Eid A.A dual-direction technique for fast file downloads with
dynamic load balancing in the Cloud[J].Journal of Network and Computer
Applications, 2013), and destination server node address, port number information are sent to the mobile terminal for needing to switch
Child node;
Step 4, the information that mobile terminal child node is returned according to control centre sends switching to destination server node and asks
It asks;
Step 5, after the completion of switching, the streaming media service satisfaction etc. of region where rejudging destination server node
Grade, and control centre is notified to switch the next node in be switched queue;
Step 6, if all mobile terminal child nodes switch out in be switched queue or cycle time terminates, knot
Line journey, otherwise return step 1 continues to execute.
In step 1, mobile terminal child node streaming media service satisfaction SMSS is calculated by following formula:
SMSS=α WP+βWUE+γWN,
Wherein, WPIndicate the assessment to mobile terminal hardware synthesis performance, which can such as pacify rabbit using professional software
Rabbit evaluation and test obtains, by the W of the best mobile terminal of performance in the present inventionPIt is set to 1, the W of other mobile terminalsPValue is equal to its evaluation and test
The ratio of score and the evaluation and test score of the best mobile terminal of performance, WUERefer to the assessment experienced to mobile terminal user (with reference to text
It offers:Mohamed N,A1-Jaroodi J,Eid A.A dual-direction technique for fast file
downloads with dynamic load balancing in the Cloud[J].Journal of Network and
Computer Applications, 2013, with reference to the weight score method in the document, obtain WUEValue), WNRefer to mobile terminal institute
The network bandwidth of acquisition, α, β, γ respectively indicate WP、WUE、WNShared specific gravity, and meet expression formula:
Alpha+beta+γ=1.
The occurrence of α, β, γ are determined according to network condition.
In step 2, each server node is satisfied by the streaming media service of region where server node according to feedback information
Degree is divided into 3 grades, and the streaming media service satisfaction of region is preferable where 1 representative server node of grade, server end
There is biggish remaining responsible ability, can be used to receive the child node of application switching;Region where 2 representative server node of grade
Streaming media service satisfaction reach balance, be responsible for be fully used;Region where 3 representative server node of grade
Streaming media service satisfaction is poor, load excessive, so that some child nodes need to apply switching out.
In step 2, when meeting following formula, the streaming media service satisfaction grade of region where server node is 1:
Wherein, SMSSiIt is the streaming media service satisfaction SMSS value of i-th of mobile terminal child node, k is hot spot server
The sum of the mobile terminal child node of region where node, SLP are the stagnant idle parameter of setting, CP1It is server node location
The threshold value that the streaming media service satisfaction in domain is 1 grade, the threshold value and stagnant idle parameter are specifically arranged in specific region;
When meeting following formula, the streaming media service satisfaction grade of region where server node is 2:
Wherein, CP2It is the threshold value that the streaming media service satisfaction of region where server node is 2 grades;
When meeting following formula, the streaming media service satisfaction grade of region where server node is 3:
Beneficial effect:The present invention is fast-developing in mobile network and traditional application layer multicast loading algorithm has been unable to meet
In the case where demand, the focus of problem of load balancing is transferred on mobile terminal from server end, to have good negative
Portfolio effect is carried, and can guarantee the quality of communication.
Detailed description of the invention
The present invention is done with reference to the accompanying drawings and detailed description and is further illustrated, it is of the invention above-mentioned or
Otherwise advantage will become apparent.
Fig. 1 is the method for the present invention flow chart.
Fig. 2 is primary multicast tree schematic diagram.
Fig. 3 is load balancing effect figure.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings and embodiments.
As shown in Figure 1, the invention discloses a kind of adaptive load balancing method based on mobile terminal active feedback, packet
Include following steps:
Step 1, mobile terminal child node periodically (general period distances be 10 seconds) to its father node, that is, server section
The streaming media service satisfaction SMSS (Streaming Media Service Satisfaction) of point feedback itself, and will stream
Media services satisfaction is put into be switched queue lower than the mobile terminal child node of threshold value A;
Step 2, each server node is according to feedback information, by the streaming media service satisfaction of region where server node
3 grades are divided into, if grade is 3 grades, (control centre can be the higher calculating of calculated performance to control centre
Machine) switching request is sent, step 3 is executed, otherwise return step 1;
Step 3, control centre is after receiving switching request, by the load state for calculating other non-hot server nodes
And it is made to the destination server node (bibliography weighted to determine switching with request server nodal distance:Mohamed
N,A1-Jaroodi J,Eid A.A dual-direction technique for fast file downloads with
dynamic load balancing in the Cloud[J].Journal of Network and Computer
Applications, 2013), and destination server node address, port number information are sent to the mobile terminal for needing to switch
Child node;
Step 4, the information that mobile terminal child node is returned according to control centre sends switching to destination server node and asks
It asks;
Step 5, after the completion of switching, the streaming media service satisfaction etc. of region where rejudging destination server node
Grade, and control centre is notified to switch the next node in be switched queue;
Step 6, if all mobile terminal child nodes switch out in be switched queue or cycle time terminates, knot
Line journey, otherwise return step 1 continues to execute.
In step 1, mobile terminal child node streaming media service satisfaction SMSS is calculated by following formula:
SMSS=α WP+βWUE+γWN,
Wherein, WPIndicate the assessment to mobile terminal hardware synthesis performance, which can such as pacify rabbit using professional software
Rabbit evaluation and test obtains, by the W of the best mobile terminal of performance in the present inventionPIt is set to 1, the W of other mobile terminalsPValue is equal to its evaluation and test
The ratio of score and the evaluation and test score of the best mobile terminal of performance, WUERefer to the assessment experienced to mobile terminal user (with reference to text
It offers:Mohamed N,A1-Jaroodi J,Eid A.A dual-direction technique for fast file
downloads with dynamic load balancing in the Cloud[J].Journal of Network and
Computer Applications, 2013, with reference to the weight score method in the document, obtain WUEValue), WNRefer to mobile terminal institute
The network bandwidth of acquisition, α, β, γ respectively indicate WP、WUE、WNShared specific gravity, and meet expression formula:
Alpha+beta+γ=1.
The occurrence of α, β, γ are determined according to network condition.
In step 2, each server node is satisfied by the streaming media service of region where server node according to feedback information
Degree is divided into 3 grades, and the streaming media service satisfaction of region is preferable where 1 representative server node of grade, server end
There is biggish remaining responsible ability, can be used to receive the child node of application switching;Region where 2 representative server node of grade
Streaming media service satisfaction reach balance, be responsible for be fully used;Region where 3 representative server node of grade
Streaming media service satisfaction is poor, load excessive, so that some child nodes need to apply switching out.
In step 2, when meeting following formula, the streaming media service satisfaction grade of region where server node is 1:
Wherein, SMSSiIt is the streaming media service satisfaction SMSS value of i-th of mobile terminal child node, k is hot spot server
The sum of the mobile terminal child node of region where node, SLP are the stagnant idle parameter of setting, CP1It is server node location
The threshold value that the streaming media service satisfaction in domain is 1 grade, the threshold value and stagnant idle parameter are specifically arranged in specific region;
When meeting following formula, the streaming media service satisfaction grade of region where server node is 2:
Wherein, CP2It is the threshold value that the streaming media service satisfaction of region where server node is 2 grades;
When meeting following formula, the streaming media service satisfaction grade of region where server node is 3:
Embodiment
The emulation experiment of the present embodiment uses Oversim environment (bibliography:Dong Jiguang, Chen Weiwei, Tian Lang army wait big
Scale cloud storage system copy layout research [J], computer application, 2012), the propagation by 44 sub- joint structures is simulated in experiment
Tree, 4 non-thermal point servers, 1 hot spot server composition, each child node possess 2~3 child nodes.
As shown in Fig. 2, V1、V2、V3、V4For server node, its corresponding child node periodic feedback information is counted
SMSS, the SMSS of region where itself then is calculated according to statistical result.Assuming that be calculated with V this moment1Node is father
The SMSS rank of the region of node is 3 grades, and assumes V7、V8For to be switched node, with V2、V3Node is the region of father node
SMSS rank is 1 grade, with V4Node is that the SMSS rank in the region of father node is 2 grades.Then V1Node to control centre S by sending out
Switching request is sent, control centre S is by calculating V2、V3、V4The SMSS of region and by itself and V1The distance between weight, it is assumed that
Optimal service device is node V2, then by V2Nodal information, including IP address, port numbers etc. are sent to node V7, V7To V2It sends and adds
Enter request.After the completion of request is added, V is recalculated2The SMSS of region, and the value is fed back into control centre S, control centre
S notifies V at this time1Prepare switching next node V8And calculate optimal service device, repeatedly, terminate until cycle time or
To be switched node all switches out and enters next period, and load balancing effect is as shown in Figure 3.
The present invention provides a kind of adaptive load balancing methods based on mobile terminal active feedback, implement the skill
There are many method and approach of art scheme, the above is only a preferred embodiment of the present invention, it is noted that this technology is led
For the those of ordinary skill in domain, various improvements and modifications may be made without departing from the principle of the present invention, these
Improvements and modifications also should be regarded as protection scope of the present invention.The available prior art of each component part being not known in the present embodiment
It is realized.
Claims (4)
1. a kind of adaptive load balancing method based on mobile terminal active feedback, which is characterized in that include the following steps:
Step 1, the streaming media service that mobile terminal child node periodically feeds back itself to its father node, that is, server node is full
Meaning degree SMSS, and the mobile terminal child node by streaming media service satisfaction lower than threshold value A is put into be switched queue;
Step 2, each server node divides the streaming media service satisfaction of region where server node according to feedback information
Switching request is sent to control centre, executes step 3, otherwise return step 1 if grade is 3 grades for 3 grades;
Step 3, control centre is after receiving switching request, by calculating the load state of other non-hot server nodes and inciting somebody to action
It makes the destination server node weighted to determine switching with request server nodal distance, and by destination server node
Location, port number information are sent to the mobile terminal child node for needing to switch;
Step 4, the information that mobile terminal child node is returned according to control centre sends switching request to destination server node;
Step 5, after the completion of switching, the streaming media service satisfaction grade of region where rejudging destination server node, and
Notice control centre switches the next node in be switched queue;
Step 6, if all mobile terminal child nodes switch out in be switched queue or cycle time terminates, terminate stream
Journey, otherwise return step 1 continues to execute.
2. the method according to claim 1, wherein calculating mobile terminal section by following formula in step 1
Point streaming media service satisfaction SMSS:
SMSS=α WP+βWUE+γWN,
Wherein, WPIndicate the assessment to mobile terminal hardware synthesis performance, WUERefer to the assessment experienced to mobile terminal user, WNRefer to
Mobile terminal network bandwidth obtained, α, β, γ respectively indicate WP、WUE、WNShared specific gravity, and meet expression formula:
Alpha+beta+γ=1.
3. according to the method described in claim 2, it is characterized in that, each server node, will according to feedback information in step 2
The streaming media service satisfaction of region where server node is divided into 3 grades, region where 1 representative server node of grade
Streaming media service satisfaction it is preferable, server end has biggish remaining responsible ability, can be used to receive application switching
Child node;The streaming media service satisfaction of region reaches balance where 2 representative server node of grade, is responsible for having obtained sufficiently
It utilizes;The streaming media service satisfaction of region is poor where 3 representative server node of grade, load excessive, so that an a little section
Point need to be applied switching out.
4. according to the method described in claim 3, it is characterized in that, in step 2, when meeting following formula, server node institute
Streaming media service satisfaction grade in region is 1:
Wherein, SMSSiIt is the streaming media service satisfaction SMSS value of i-th of mobile terminal child node, k is hot spot server node
The sum of the mobile terminal child node of place region, SLP are the stagnant idle parameter of setting, CP1It is region where server node
The threshold value that streaming media service satisfaction is 1 grade, the threshold value and stagnant idle parameter are specifically arranged in specific region;
When meeting following formula, the streaming media service satisfaction grade of region where server node is 2:
Wherein, CP2It is the threshold value that the streaming media service satisfaction of region where server node is 2 grades;
When meeting following formula, the streaming media service satisfaction grade of region where server node is 3:
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810358671.3A CN108848533A (en) | 2018-04-20 | 2018-04-20 | A kind of adaptive load balancing method based on mobile terminal active feedback |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810358671.3A CN108848533A (en) | 2018-04-20 | 2018-04-20 | A kind of adaptive load balancing method based on mobile terminal active feedback |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108848533A true CN108848533A (en) | 2018-11-20 |
Family
ID=64212216
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810358671.3A Pending CN108848533A (en) | 2018-04-20 | 2018-04-20 | A kind of adaptive load balancing method based on mobile terminal active feedback |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108848533A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112787918A (en) * | 2021-01-29 | 2021-05-11 | 杭州优云软件有限公司 | Data center addressing and main-standby switching method based on service routing tree |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101958837A (en) * | 2010-09-30 | 2011-01-26 | 北京世纪互联工程技术服务有限公司 | Log processing system, log processing method, node server and center server |
CN102440028A (en) * | 2010-05-13 | 2012-05-02 | 华为技术有限公司 | System, device and method for Internet traffic content distribution |
-
2018
- 2018-04-20 CN CN201810358671.3A patent/CN108848533A/en active Pending
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102440028A (en) * | 2010-05-13 | 2012-05-02 | 华为技术有限公司 | System, device and method for Internet traffic content distribution |
CN101958837A (en) * | 2010-09-30 | 2011-01-26 | 北京世纪互联工程技术服务有限公司 | Log processing system, log processing method, node server and center server |
CN101958837B (en) * | 2010-09-30 | 2015-10-07 | 北京世纪互联宽带数据中心有限公司 | Log processing system, log processing method, node server and central server |
Non-Patent Citations (1)
Title |
---|
崔建群: "《基于移动应用层组播终端主动反馈的自适应负载均衡机制研究》", 《计算机科学》 * |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112787918A (en) * | 2021-01-29 | 2021-05-11 | 杭州优云软件有限公司 | Data center addressing and main-standby switching method based on service routing tree |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106411733B (en) | A kind of SDN dynamic load leveling dispatching method based on link real time load | |
CN109308221B (en) | A Nginx dynamic load balancing method based on WebSocket long connection | |
Kasera et al. | A comparison of server-based and receiver-based local recovery approaches for scalable reliable multicast | |
Prabhavat et al. | Effective delay-controlled load distribution over multipath networks | |
CN112087382B (en) | Service routing method and device | |
CN102726031A (en) | Content processing method, device and system | |
CN105376317A (en) | Load balancing control method and load balancing control device | |
Kang et al. | Application of adaptive load balancing algorithm based on minimum traffic in cloud computing architecture | |
CN103796244A (en) | Balanced-load wireless multi-heterogeneous-network access selection method | |
Kim et al. | Differentiated forwarding and caching in named-data networking | |
Alfaro et al. | QoS in InfiniBand subnetworks | |
Jia et al. | Distributed admission control for anycast flows | |
Ahdan et al. | Adaptive forwarding strategy in named data networking: A survey | |
CN108848533A (en) | A kind of adaptive load balancing method based on mobile terminal active feedback | |
Lu et al. | Geographic information and node selfish-based routing algorithm for delay tolerant networks | |
Antonis et al. | A hierarchical adaptive distributed algorithm for load balancing | |
CN101860469A (en) | Method and device for grouping nodes in a point-to-point technical network | |
Shuai et al. | A cost-based distributed algorithm for load balancing in content delivery network | |
CN110191362A (en) | Data transmission method and device, storage medium and electronic equipment | |
Ju et al. | On building a low latency network for future internet services | |
Zhang et al. | Topology-aware peer-to-peer on-demand streaming | |
JP2003242065A (en) | Content selection, content request acceptance control, congestion control method and content management device, network resource management server device, portal server device, edge device | |
CN110866027A (en) | System and method for improving block chain query efficiency | |
Ebara et al. | A cost-effective dynamic content migration method in CDNs | |
Amir et al. | Flow control for many-to-many multicast: A cost-benefit approach |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20181120 |