CN109165972A - A kind of mobile block chain resource allocation methods of task based access control migration mechanism - Google Patents
A kind of mobile block chain resource allocation methods of task based access control migration mechanism Download PDFInfo
- Publication number
- CN109165972A CN109165972A CN201810853937.1A CN201810853937A CN109165972A CN 109165972 A CN109165972 A CN 109165972A CN 201810853937 A CN201810853937 A CN 201810853937A CN 109165972 A CN109165972 A CN 109165972A
- Authority
- CN
- China
- Prior art keywords
- edge cloud
- user
- cloud computing
- computing unit
- base station
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/08—Auctions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Landscapes
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Technology Law (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The present invention relates to mobile block chain field of cloud computer technology, more particularly, to a kind of mobile block chain resource allocation methods of task based access control migration.The present invention proposes a kind of three layers of matching process, comprising the following steps: in mobile block chain resource allocator model, user is divided into multiple groups by base station;Computational resource requirements and bid information are submitted to base station by the user in group, itself allowable resource is submitted to base station by edge cloud computing unit;Base station completes the matching of user and edge cloud computing unit according to the resource information of user and edge cloud, and the calculating task of user is loaded into corresponding edge cloud, and base station collects customer charge and pays edge cloud expense.The present invention does not expend excessive energy and computing capability in process of exchange, block chain be can be realized in the deployment of mobile terminal, meet user carrying out on mobile phone the needs of digging mine, while increasing the income for having the user of resources left, possesses higher personal income and integral benefit.
Description
Technical field
The present invention relates to the technical fields of number transaction on-line payment, more particularly, to one kind based on sincere auction machine
The mobile block chain method for allocating tasks of system.
Background technique
Recently, the point-to-point e-payment currency of referred to as bit coin is born, and point-to-point transmission means that one is gone
The payment system of the heart is avoided by formerly paying caused cost.As a kind of digital encryption currency of prevalence, bit coin can
With all digital transaction records are called block chain at one application program in, this is safeguarded by one group of participant.From
Since the birth of bit coin, block chain technology produces huge public benefit by the distributed network of a not no intermediary
Benefit.The critical issue of block chain is the calculating process for being called " excavation ", and in this process, transaction record passes through employee's card
Bright solution is affixed in main chain.The problem that this work proves includes calculating one group of affairs present in network, solution
A certainly mathematical problem dependent on this set, and result is traveled in block chain network, to reach common understanding.Once all
These steps all successfully complete, and form a block by a series of transaction that mine quotient proposes, which is affixed to current block
In chain.First " digger " for successfully excavating the solution posed a difficult problem and reaching common understanding, can obtain certain amount ratio
The reward of special coin.
Deployment block chain application program is faced with some stern challenges in a mobile network, this is because mining process is made
At.Problem is proved in order to solve work, needs high computing capability and electricity from mobile device.To solve this problem,
Edge calculations are introduced in mobile block chain network, may be implemented to carry out digging mine in a mobile device by edge cloud user.
Currently, there is inventor to introduce edge calculations ISP as go-between, using two stage Staenberg game, planning
The benefit of ESP and mine quotient;Or a kind of mobile block chain optimization auction theory based on deep learning is designed, utilize neural network
Dull conversion is carried out to the bid of miner, then calculates the distribution and conditional payoff rule of miner.However, these methods need
Higher computing capability is wanted, realizes that resources costs are very high in a mobile device.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of mobile blocks of task based access control migration mechanism
Chain resource allocation methods, establish the mobile block chain resource allocator model of task immigration mechanism, and cloud computing unit in edge is used as and sells
Side sells the service of calculating, and using user as buyer's purchase resource, base station is as third party, computational efficiency with higher, compared with
Excessive energy and computing capability are not expended during easily.
In order to solve the above technical problems, the technical solution adopted by the present invention is that:
A kind of mobile block chain resource allocation methods of task based access control migration mechanism are provided, comprising the following steps:
S1. the mobile block chain resource allocator model of task based access control migration mechanism is established, the distribution model includes edge
Cloud computing unit, several base stations being connect with edge cloud computing unit and several users being connect with base station;
S2. the service of calculating is sold using edge cloud computing unit as the seller, buys resource for user as buyer, base station is made
The matching between buyer and the seller is assisted for trusted third party, user is divided into n group according to location information by base station,
It is denoted as A={ a1,a2,...,an};
S3. group aiIn user according at a distance from each edge cloud computing unit and service qualitative difference, to every
A edge cloud computing unit bid, by bid informationAnd resource requirement informationSubmit to base station connected to it, edge
Cloud computing unit submits allowable resource information CAP to each base stationk;
S4. according to group a in step S3iIt is committed to the information of base station with edge cloud computing unit, calculates user to list
The bid of position resource, each group is selected to each edge cloud computing unit based on the matching mechanisms that unit resource is bid in base station
Candidate, and the price paid of candidate is calculated, base station is calculated to different edge cloud computing lists according to the price paid
The estimated revenue of member;
S5. it is bid according to estimated revenue of the base station in step S4 to each edge cloud computing unit;For each side
Edge cloud computing unit, their reservation price is calculated according to allowable resource, and the matching mechanisms based on profit margin complete base station
With the matching between edge cloud computing unit;
S6. according to the matching result of S4 and S5, matching mechanisms are associated with for candidate and edge with edge cloud based on candidate
The corresponding expense of user is collected in cloud computing units match, base station, and edge cloud computing unit allocates resources to user and collects base
It stands corresponding expense, calculating task is moved to edge cloud computing unit by user, realizes the digging mine in mobile environment.
The mobile block chain resource allocation methods of task based access control migration mechanism of the invention, the computing resource in edge cloud
As the resource of buyer, user connects the base station of user as third party because resource requirement is as buyer;Calculating with higher
Efficiency does not expend excessive energy and computing capability in process of exchange.
Described in step S4 based on unit resource bid matching mechanisms the following steps are included:
S41. it definesFor userTo each edge cloud computing unit CkThe bid of unit resource:
In formula, U is rememberediFor aiAll users in groupIndicate aiJ-th of user in group;?
There is K edge cloud computing unit in mobile block chain, is denoted as Ck={ C1,C2,...,CK, userResources requirement be
UserBid to each edge cloud computing unit is
S42. for each group aiIn user, select certain customers as candidate for each edge cloud computing unit
Person, the selection mechanism of the candidate are as follows: the user in each group bids according to unit resourceHeight is arranged
Sequence, preceding x user in selection group make the sum of its demand be less than or equal to CkAllowable resource amount CAPkAnd x+1 user
Resources requirement is greater than allowable resource amount CAPk, then aiIn preceding x user be group aiTo CkCandidate;
S43. rememberFor the sum of the bid of candidate,It is expressed as the sum of candidate bid and subtracts userTo Ck's
BidThat is:
NoteIt indicates in no userIn the case where the sum of the bid of candidate that reselects out, therefore it is candidate
PersonPrice paidAre as follows:
Rather than the price paid of candidate is
S44. base station is to different edge cloud computing unit CkEstimated revenue be all candidates the sum of price paid, i.e.,
CkTo aiEstimated revenue be
Preferably, the matching mechanisms based on profit margin of base station and edge cloud computing unit include following step in step S5
It is rapid:
S51. each base station bids to each edge cloud computing unit, and the price of bid is equal to the estimated revenue
S52. remember that acceptable lowest price is reservation in the case where guaranteeing that each edge cloud computing unit does not lose
Price sk, define edge cloud computing unit profit margin beEach group is calculated to edge cloud computing unit
Profit margin;
S53. profit margin is selectedCorresponding base station and edge cloud computing unit C when highestkMatching.
Preferably, in step S51, base station is to edge cloud computing unit CkPrice paid determine mechanism are as follows: in all bases
It stands to CkBid in find out and removeExcept highest bidAs aiTo CkActual delivery price, i.e.,
Preferably, candidate described in step S6 with edge cloud be associated with matching mechanisms the following steps are included:
S61. according to matched as a result, by candidate and edge cloud computing units match, if in S4 in S4 and S5It is chosen as group aiTo CkCandidate, and a in S5iWith CkMatching, then finallyWith Ck?
Match;
S62. according to the matching result of step S61, the corresponding expense of user is collected in base stationEdge cloud is by resource allocation
To user and collect the corresponding expense in base stationCalculating task is moved to edge cloud by user, realizes the digging mine in mobile environment.
Compared with prior art, the beneficial effects of the present invention are:
The mobile block chain resource allocation methods of task based access control migration mechanism of the invention, are set up and are moved based on effective task
The mobile block chain model of shifter mechanism, resource of the computing resource as buyer in edge cloud, user is because of resource requirement conduct
Buyer connects the base station of user as third party, and computational efficiency with higher does not expend excessive energy in process of exchange
And computing capability;In addition, the present invention can be realized block chain in the deployment of mobile terminal, it can satisfy user and dug on mobile phone
The demand of mine, while the income for having the user of resources left can be increased, possess higher personal income and integral benefit.
Detailed description of the invention
Fig. 1 is the structural schematic diagram for the mobile block chain resource allocator model that task based access control of the invention migrates.
Fig. 2 is the flow chart of the mobile block chain resource allocation methods of the task based access control migration mechanism of the present embodiment.
Specific embodiment
The present invention is further illustrated With reference to embodiment.Wherein, attached drawing only for illustration,
What is indicated is only schematic diagram, rather than pictorial diagram, should not be understood as the limitation to this patent;Reality in order to better illustrate the present invention
Example is applied, the certain components of attached drawing have omission, zoom in or out, and do not represent the size of actual product;To those skilled in the art
For, the omitting of some known structures and their instructions in the attached drawings are understandable.
Embodiment one
It is as shown in Figure 1 to Figure 2 the of the mobile block chain resource allocation methods of task based access control migration mechanism of the invention
One embodiment, comprising the following steps:
S1. the mobile block chain resource allocator model of task based access control migration mechanism is established, as shown in Fig. 2, the distribution mould
Type includes edge cloud computing unit, several base stations connecting with edge cloud computing unit and several users connecting with base station;
S2. the service of calculating is sold using edge cloud computing unit as the seller, buys resource for user as buyer, base station is made
The matching between buyer and the seller is assisted for trusted third party, user is divided into n group according to location information by base station,
It is denoted as A={ a1,a2,...,an};
S3. group aiIn user according at a distance from each edge cloud computing unit and service qualitative difference, service
Quality refers to that user uses the general effect of edge cloud service, these effects determine that a user expires the cloud computing service
Meaning degree, service quality is high, the closer edge cloud of distance will obtain higher bid;It bids to each edge cloud computing unit,
By bid informationAnd resource requirement informationSubmit to base station connected to it, cloud computing unit in edge is to each base station
Submit allowable resource information CAPk;
S4. according to group a in step S3iIt is committed to the information of base station with edge cloud computing unit, calculates user to list
The bid of position resource, each group is selected to each edge cloud computing unit based on the matching mechanisms that unit resource is bid in base station
Candidate, and the price paid of candidate is calculated, base station is calculated to different edge cloud computing lists according to the price paid
The estimated revenue of member;
S5. it is bid according to estimated revenue of the base station in step S4 to each edge cloud computing unit;For each side
Edge cloud computing unit, their reservation price is calculated according to allowable resource, and the matching mechanisms based on profit margin complete base station
With the matching between edge cloud computing unit;
S6. according to the matching result of S4 and S5, matching mechanisms are associated with for candidate and edge with edge cloud based on candidate
The corresponding expense of user is collected in cloud computing units match, base station, and edge cloud computing unit allocates resources to user and collects base
It stands corresponding expense, calculating task is moved to edge cloud computing unit by user, realizes the digging mine in mobile environment.
Wherein, described in step S4 based on unit resource bid matching mechanisms the following steps are included:
S41. it definesFor userTo each edge cloud computing unit CkThe bid of unit resource:
In formula, U is rememberediFor aiAll users in group Indicate aiJ-th of user in group;?
There is K edge cloud computing unit in mobile block chain, is denoted as Ck={ C1,C2,...,CK, userResources requirement be
UserBid to each edge cloud computing unit is
S42. for each group aiIn user, select certain customers as candidate for each edge cloud computing unit
Person, the selection mechanism of the candidate are as follows: the user in each group bids according to unit resourceHeight is arranged
Sequence, preceding x user in selection group make the sum of its demand be less than or equal to CkAllowable resource amount CAPkAnd x+1 user
Resources requirement is greater than allowable resource amount CAPk, then aiIn preceding x user be group aiTo CkCandidate;
S43. rememberFor the sum of the bid of candidate,It is expressed as the sum of candidate bid and subtracts userTo Ck's
BidThat is:
NoteIt indicates in no userIn the case where the sum of the bid of candidate that reselects out, therefore it is candidate
PersonPrice paidAre as follows:
Rather than the price paid of candidate is
S44. base station is to different edge cloud computing unit CkEstimated revenue be all candidates the sum of price paid, i.e.,
CkTo aiEstimated revenue be
In step S5 base station and edge cloud computing unit the matching mechanisms based on profit margin the following steps are included:
S51. each base station bids to each edge cloud computing unit, and the price of bid is equal to the estimated revenue
S52. remember that acceptable lowest price is reservation in the case where guaranteeing that each edge cloud computing unit does not lose
Price sk, define edge cloud computing unit profit margin beEach group is calculated to edge cloud computing unit
Profit margin;
S53. profit margin is selectedCorresponding base station and edge cloud computing unit C when highestkMatching.
In step s 51, base station is to edge cloud computing unit CkPrice paid determine mechanism are as follows: in all base stations to Ck
Bid in find out and removeExcept highest bidAs aiTo CkActual delivery price, i.e.,
Wherein, candidate described in step S6 with edge cloud be associated with matching mechanisms the following steps are included:
S61. according to matched as a result, by candidate and edge cloud computing units match, if in S4 in S4 and S5It is chosen as group aiTo CkCandidate, and a in S5iWith CkMatching, then finallyWith Ck?
Match;
S62. according to the matching result of step S61, the corresponding expense of user is collected in base stationEdge cloud is by resource allocation
To user and collect the corresponding expense in base stationCalculating task is moved to edge cloud by user, realizes the digging mine in mobile environment.
By above step, the present invention can be realized block chain in the deployment of mobile terminal, can satisfy user on mobile phone
Dig the demand of mine, while the income for having the user of resources left can be increased, possesses higher personal income and whole receipts
Benefit.
Claims (5)
1. a kind of mobile block chain resource allocation methods of task based access control migration mechanism, which comprises the following steps:
S1. the mobile block chain resource allocator model of task based access control migration mechanism is established, the resource allocator model includes edge
Cloud computing unit, several base stations being connect with edge cloud computing unit and several users being connect with base station;
S2. using edge cloud computing unit as the seller sell calculate service, using user as buyer buy resource, base station as by
The third party of trust assists the matching between buyer and the seller, and user is divided into n group according to location information, is denoted as by base station
A={ a1,a2,...,an};
S3. group aiIn user according at a distance from each edge cloud computing unit and service qualitative difference, to each edge
Cloud computing unit bid, by bid informationWith resource requirement information ri jSubmit to base station connected to it, edge cloud computing
Unit submits allowable resource information CAP to each base stationk;
S4. according to group a in step S3iIt is committed to the information of base station with edge cloud computing unit, calculates user to unit resource
Bid, each group is selected to the candidate of each edge cloud computing unit based on the matching mechanisms that unit resource is bid in base station
Person, and the price paid of candidate is calculated, base station is calculated to different edge cloud computing units according to the price paid
Estimated revenue;
S5. it is bid according to estimated revenue of the base station in step S4 to each edge cloud computing unit;For each edge cloud
Computing unit calculates their reservation price according to allowable resource, and the matching mechanisms based on profit margin complete base station and side
Matching between edge cloud computing unit;
S6. according to the matching result of S4 and S5, matching mechanisms are associated with by candidate with edge cloud will be based on candidate and edge cloud
Units match is calculated, the corresponding expense of user is collected in base station, and edge cloud computing unit allocates resources to user and collects base station phase
Calculating task is moved to edge cloud computing unit by the expense answered, user, realizes the digging mine in mobile environment.
2. the mobile block chain resource allocation methods of task based access control migration mechanism according to claim 1, which is characterized in that
Described in step S4 based on unit resource bid matching mechanisms the following steps are included:
S41. it definesFor userTo each edge cloud computing unit CkThe bid of unit resource:
In formula, U is rememberediFor aiAll users in group Indicate aiJ-th of user in group;In movement
There is K edge cloud computing unit in block chain, is denoted as Ck={ C1,C2,...,CK, userResources requirement be ri j, userBid to each edge cloud computing unit is
S42. for each group aiIn user, select certain customers as candidate, institute for each edge cloud computing unit
State the selection mechanism of candidate are as follows: the user in each group bids according to unit resourceHeight is ranked up, and is selected
Preceding x user in group makes the sum of its demand be less than or equal to CkAllowable resource amount CAPkAnd the resource of x+1 user needs
The amount of asking is greater than allowable resource amount CAPk, then aiIn preceding x user be group aiTo CkCandidate;
S43. remember Vb UFor the sum of the bid of candidate,It is expressed as the sum of candidate bid and subtracts userTo CkBidThat is:
NoteIt indicates in no userIn the case where the sum of the bid of candidate that reselects out, therefore candidate
Price paidAre as follows:
Rather than the price paid of candidate is
S44. base station is to different edge cloud computing unit CkEstimated revenue be all candidates the sum of price paid, i.e. CkIt is right
aiEstimated revenue be
3. the mobile block chain resource allocation methods of task based access control migration mechanism according to claim 1, which is characterized in that
The matching mechanisms of profit margin described in step S5 the following steps are included:
S51. each base station bids to each edge cloud computing unit, and the price of bid is equal to the estimated revenue
S52. remember that acceptable lowest price is reservation price in the case where guaranteeing that each edge cloud computing unit does not lose
sk, define edge cloud computing unit profit margin beEach group is calculated to the benefit of edge cloud computing unit
Profit rate;
S53. profit margin is selectedCorresponding base station and edge cloud computing unit C when highestkMatching.
4. the mobile block chain resource allocation methods of task based access control migration mechanism according to claim 3, which is characterized in that
In step S51, base station is to edge cloud computing unit CkPrice paid determine mechanism are as follows: in all base stations to CkBid in look for
It removes outExcept highest bidAs aiTo CkActual delivery price, i.e.,
5. the mobile block chain resource allocation methods of task based access control migration mechanism according to any one of claims 1 to 4,
Be characterized in that, candidate described in step S6 with edge cloud be associated with matching mechanisms the following steps are included:
S61. according to matched as a result, by candidate and edge cloud computing units match, if in S4 in S4 and S5It is chosen as group aiTo CkCandidate, and a in S5iWith CkMatching, then finallyWith Ck?
Match;
S62. according to the matching result of step S61, the corresponding expense of user is collected in base stationEdge cloud allocates resources to use
Simultaneously collect the corresponding expense P in base station in familyi k, calculating task moves to edge cloud, realizes the digging mine in mobile environment by user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810853937.1A CN109165972A (en) | 2018-07-30 | 2018-07-30 | A kind of mobile block chain resource allocation methods of task based access control migration mechanism |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810853937.1A CN109165972A (en) | 2018-07-30 | 2018-07-30 | A kind of mobile block chain resource allocation methods of task based access control migration mechanism |
Publications (1)
Publication Number | Publication Date |
---|---|
CN109165972A true CN109165972A (en) | 2019-01-08 |
Family
ID=64898670
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810853937.1A Pending CN109165972A (en) | 2018-07-30 | 2018-07-30 | A kind of mobile block chain resource allocation methods of task based access control migration mechanism |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN109165972A (en) |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110113140A (en) * | 2019-03-08 | 2019-08-09 | 北京邮电大学 | A kind of mist calculates the calculating discharging method in wireless network |
CN110188137A (en) * | 2019-04-19 | 2019-08-30 | 杭州电子科技大学 | A kind of block chain common recognition mechanism based on sincerity |
CN110231990A (en) * | 2019-05-22 | 2019-09-13 | 深圳供电局有限公司 | Block chain resource optimal distribution method and device based on secondary auction |
CN110417872A (en) * | 2019-07-08 | 2019-11-05 | 深圳供电局有限公司 | A kind of edge network resource allocation methods towards mobile block chain |
CN110458702A (en) * | 2019-07-15 | 2019-11-15 | 阿里巴巴集团控股有限公司 | Based on the virtual resource allocation method and device of block chain, electronic equipment |
CN110602173A (en) * | 2019-08-20 | 2019-12-20 | 广东工业大学 | Content cache migration method facing mobile block chain |
CN110753126A (en) * | 2019-10-28 | 2020-02-04 | 国网河南省电力公司信息通信公司 | Service node selection method, device management method, device, system and medium |
CN111107506A (en) * | 2020-01-02 | 2020-05-05 | 南京邮电大学 | Network resource safety sharing method based on block chain and auction game |
CN111147543A (en) * | 2019-11-25 | 2020-05-12 | 吴松 | Shared edge computing system applied to cloud service and using method thereof |
CN111221649A (en) * | 2019-12-31 | 2020-06-02 | 布比(北京)网络技术有限公司 | Edge resource storage method, access method and device |
US10785168B2 (en) | 2019-07-15 | 2020-09-22 | Alibaba Group Holding Limited | Allocating virtual resource based on block chain |
CN113538117A (en) * | 2021-07-09 | 2021-10-22 | 云南大学 | Internet of vehicles resource allocation auction method based on block chain |
CN113891359A (en) * | 2021-10-11 | 2022-01-04 | 中国联合网络通信集团有限公司 | Data processing method, device and storage medium |
CN114866616A (en) * | 2022-07-11 | 2022-08-05 | 京华信息科技股份有限公司 | Mobile equipment available cloud resource allocation method based on positioning information |
CN117474534A (en) * | 2023-12-26 | 2024-01-30 | 成都天府通数字科技有限公司 | Management system for conditional payment |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105721565A (en) * | 2016-01-29 | 2016-06-29 | 南京邮电大学 | Game based cloud computation resource allocation method and system |
CN106874107A (en) * | 2016-12-26 | 2017-06-20 | 广东工业大学 | It is a kind of based on the thin cloud resource auction technique for purchasing by group in mobile cloud computing |
CN107122249A (en) * | 2017-05-10 | 2017-09-01 | 重庆邮电大学 | A kind of task unloading decision-making technique based on edge cloud pricing mechanism |
CN107193658A (en) * | 2017-05-25 | 2017-09-22 | 重庆工程学院 | Cloud computing resource scheduling method based on game theory |
-
2018
- 2018-07-30 CN CN201810853937.1A patent/CN109165972A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105721565A (en) * | 2016-01-29 | 2016-06-29 | 南京邮电大学 | Game based cloud computation resource allocation method and system |
CN106874107A (en) * | 2016-12-26 | 2017-06-20 | 广东工业大学 | It is a kind of based on the thin cloud resource auction technique for purchasing by group in mobile cloud computing |
CN107122249A (en) * | 2017-05-10 | 2017-09-01 | 重庆邮电大学 | A kind of task unloading decision-making technique based on edge cloud pricing mechanism |
CN107193658A (en) * | 2017-05-25 | 2017-09-22 | 重庆工程学院 | Cloud computing resource scheduling method based on game theory |
Cited By (24)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110113140A (en) * | 2019-03-08 | 2019-08-09 | 北京邮电大学 | A kind of mist calculates the calculating discharging method in wireless network |
CN110188137A (en) * | 2019-04-19 | 2019-08-30 | 杭州电子科技大学 | A kind of block chain common recognition mechanism based on sincerity |
CN110231990A (en) * | 2019-05-22 | 2019-09-13 | 深圳供电局有限公司 | Block chain resource optimal distribution method and device based on secondary auction |
CN110231990B (en) * | 2019-05-22 | 2021-06-11 | 深圳供电局有限公司 | Block chain resource optimal allocation method and device based on secondary auction |
CN110417872A (en) * | 2019-07-08 | 2019-11-05 | 深圳供电局有限公司 | A kind of edge network resource allocation methods towards mobile block chain |
CN110417872B (en) * | 2019-07-08 | 2022-04-29 | 深圳供电局有限公司 | Edge network resource allocation method facing mobile block chain |
US11032215B2 (en) | 2019-07-15 | 2021-06-08 | Advanced New Technologies Co., Ltd. | Allocating virtual resource based on block chain |
CN110458702A (en) * | 2019-07-15 | 2019-11-15 | 阿里巴巴集团控股有限公司 | Based on the virtual resource allocation method and device of block chain, electronic equipment |
US11336589B2 (en) | 2019-07-15 | 2022-05-17 | Advanced New Technologies Co., Ltd. | Allocating virtual resource based on blockchain |
US10785168B2 (en) | 2019-07-15 | 2020-09-22 | Alibaba Group Holding Limited | Allocating virtual resource based on block chain |
CN110602173A (en) * | 2019-08-20 | 2019-12-20 | 广东工业大学 | Content cache migration method facing mobile block chain |
CN110753126A (en) * | 2019-10-28 | 2020-02-04 | 国网河南省电力公司信息通信公司 | Service node selection method, device management method, device, system and medium |
CN110753126B (en) * | 2019-10-28 | 2022-06-17 | 国网河南省电力公司信息通信公司 | Service node selection method, device, system and medium |
CN111147543A (en) * | 2019-11-25 | 2020-05-12 | 吴松 | Shared edge computing system applied to cloud service and using method thereof |
CN111221649A (en) * | 2019-12-31 | 2020-06-02 | 布比(北京)网络技术有限公司 | Edge resource storage method, access method and device |
CN111107506B (en) * | 2020-01-02 | 2022-05-10 | 南京邮电大学 | Network resource safety sharing method based on block chain and auction game |
CN111107506A (en) * | 2020-01-02 | 2020-05-05 | 南京邮电大学 | Network resource safety sharing method based on block chain and auction game |
CN113538117A (en) * | 2021-07-09 | 2021-10-22 | 云南大学 | Internet of vehicles resource allocation auction method based on block chain |
CN113538117B (en) * | 2021-07-09 | 2022-10-18 | 云南大学 | Internet of vehicles resource allocation auction method based on block chain |
CN113891359A (en) * | 2021-10-11 | 2022-01-04 | 中国联合网络通信集团有限公司 | Data processing method, device and storage medium |
CN113891359B (en) * | 2021-10-11 | 2023-06-20 | 中国联合网络通信集团有限公司 | Data processing method, device and storage medium |
CN114866616A (en) * | 2022-07-11 | 2022-08-05 | 京华信息科技股份有限公司 | Mobile equipment available cloud resource allocation method based on positioning information |
CN117474534A (en) * | 2023-12-26 | 2024-01-30 | 成都天府通数字科技有限公司 | Management system for conditional payment |
CN117474534B (en) * | 2023-12-26 | 2024-03-19 | 成都天府通数字科技有限公司 | Management system for conditional payment |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN109165972A (en) | A kind of mobile block chain resource allocation methods of task based access control migration mechanism | |
Kodukula et al. | Project valuation using real options: a practitioner's guide | |
US8224743B2 (en) | System and method for a hybrid clock and proxy auction | |
JP2022552318A (en) | Methods for Multi-tier Tokenization Platforms | |
CN111080338A (en) | User data processing method and device, electronic equipment and storage medium | |
TW201926195A (en) | Fund transaction platform | |
Laoutaris | Why online services should pay you for your data? The arguments for a human-centric data economy | |
US20120116912A1 (en) | Method and system using a secure computer network for matching customers and vendors | |
Jongwanich | Readiness of Thailand towards the digital economy | |
CN110602173A (en) | Content cache migration method facing mobile block chain | |
CN107862569A (en) | Intellectual property broker method of servicing, device and server | |
Joshi et al. | The opportunities and constraints affecting an informatics policy: The India experience | |
KR102094438B1 (en) | Method and apparatus for mediating work | |
Haryono et al. | The Challenges of Digital Banking in Today’s Banking Industry | |
Yu et al. | Re-think insurance: A new perspective of InsurTech | |
WO2020210545A1 (en) | Proximity based engagement apparatus, system, and method | |
US20200286024A1 (en) | Automated structured workflow recommendation system | |
Chang | A method of fuzzy preference relation to authorize the worldwide interoperability for microwave access license in Taiwan | |
Leebouapao et al. | E-commerce Development in the Lao PDR: Some Policy Concerns’ | |
KR20140127033A (en) | Method of Calculating the mall's premium | |
US20060074781A1 (en) | System for facilitating turnkey real estate investment in Mexico | |
US20090089118A1 (en) | Method and system for selecting shared service centers | |
Monye et al. | Regional integration in Africa: Proposals for an Africa-wide payment system | |
Ahmed et al. | Advancements in the Banking Industry | |
Sendiang et al. | Similarity Check: Cost and Benefits Analysis of Research and Community Services Information System Development |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190108 |