CN113971144A - Dynamic hybrid lottery method for multiprocessor priority arbitration - Google Patents

Dynamic hybrid lottery method for multiprocessor priority arbitration Download PDF

Info

Publication number
CN113971144A
CN113971144A CN202111254497.6A CN202111254497A CN113971144A CN 113971144 A CN113971144 A CN 113971144A CN 202111254497 A CN202111254497 A CN 202111254497A CN 113971144 A CN113971144 A CN 113971144A
Authority
CN
China
Prior art keywords
lottery
master
time
weight
request
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.)
Granted
Application number
CN202111254497.6A
Other languages
Chinese (zh)
Other versions
CN113971144B (en
Inventor
程知
蔡佳楠
何立新
张新
颜士喆
朱家兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hefei University
Huainan Normal University
Original Assignee
Hefei University
Huainan Normal University
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Hefei University, Huainan Normal University filed Critical Hefei University
Priority to CN202111254497.6A priority Critical patent/CN113971144B/en
Publication of CN113971144A publication Critical patent/CN113971144A/en
Application granted granted Critical
Publication of CN113971144B publication Critical patent/CN113971144B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • G06F13/14Handling requests for interconnection or transfer
    • G06F13/16Handling requests for interconnection or transfer for access to memory bus
    • G06F13/1605Handling requests for interconnection or transfer for access to memory bus based on arbitration
    • G06F13/1652Handling requests for interconnection or transfer for access to memory bus based on arbitration in a multiprocessor architecture
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F13/00Interconnection of, or transfer of information or other signals between, memories, input/output devices or central processing units
    • G06F13/14Handling requests for interconnection or transfer
    • G06F13/16Handling requests for interconnection or transfer for access to memory bus
    • G06F13/18Handling requests for interconnection or transfer for access to memory bus based on priority control
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • G06F7/58Random or pseudo-random number generators
    • G06F7/588Random number generators, i.e. based on natural stochastic processes
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C15/00Generating random numbers; Lottery apparatus
    • G07C15/006Generating random numbers; Lottery apparatus electronically

Abstract

The invention relates to a dynamic hybrid lottery method for multiprocessor priority arbitration, which comprises the following steps: the lottery generator dynamically generates the initial lottery number of each main device, and the initial lottery number takes any value in each clock period within a set interval range; calculating the time weight f (t) of each main device according to the sequence of the request time; calculating the total number of lottery ticket holdings of each main device after considering the time weight; the random number generator generates a random number, compares the random number with the total number of lottery ticket holdings of each master device, and selects the corresponding master device for output. The invention not only considers that the main equipment with higher priority is endowed with more lottery numbers, but also considers that the lottery numbers obtained by the main equipment are influenced by the time when the main equipment sends the request, and the earlier the request time is, the more the lottery numbers are; the proposed time weight function modifies the existing lottery calculation method, so that the factor of the request time is fully considered in the lottery number calculation.

Description

Dynamic hybrid lottery method for multiprocessor priority arbitration
Technical Field
The invention relates to the technical field of integrated circuit design, in particular to a dynamic hybrid lottery method for multiprocessor priority arbitration.
Background
For a board level system with multiple processors, when there are multiple master devices requesting to contend for the same transmission channel, the priority of the lottery ticket is more widely used because different devices can be given different priorities with different weights, and the devices with higher priorities have more lottery tickets. However, conventional lottery priorities, either static or dynamic, do not take into account the time of the message request and decide which device to respond to based only on the number of tickets generated, which may result in some requests that may not be responded to even though early.
In some specific situations, it is required that information transmission between the master device and the slave device reaches load balancing, and this way may result in some devices being in "busy" state and other devices being in "idle" state, which obviously is not favorable for balanced distribution of information flow between devices. Whether the priority of the equipment is considered or not is considered, the factor of the sequence of the request time is properly taken into consideration, and how to embody the variable of the request time on the basis of the original priority is an urgent problem to be solved.
Disclosure of Invention
The invention aims to provide an arbitration method giving consideration to both lottery priority and first-come-first-serve, and a dynamic hybrid lottery method for multiprocessor priority arbitration, which modulates the lottery priority by using request time.
In order to achieve the purpose, the invention adopts the following technical scheme: a dynamic hybrid lottery method for multiprocessor priority arbitration, the method comprising the sequential steps of:
the method comprises the following steps in sequence:
(1) the lottery generator dynamically generates the initial lottery number of each main device, and the initial lottery number takes any value in each clock cycle within a set interval range;
(2) calculating the time weight f (t) of each main device according to the sequence of the request time;
(3) calculating the total number of lottery ticket holdings of each main device after considering the time weight;
(4) and (4) generating a random number by a random number generator, comparing the random number with the total number of the lottery held by each main device obtained in the step (3), and selecting the corresponding main device for output.
In step (2), the time weight f (t) of each master device is calculated as follows:
f(t)=(n-i+1)/n (1)
in the formula, n is the total number of the main equipment; i is the order of sending the requests, and the order corresponds to the sequence of the request time;
distributing weight according to the request time, wherein the earlier the request time is, the greater the weight is; assuming that the total number of the master devices is n and the order of the master device requests is i, the time weight of the master device requests is (n-i +1)/n, so that the device with the earliest request time, i.e. the device with the 1 st request, has a weight of 1, and as time sequentially moves backwards, the time weight of the master device is sequentially (n-1)/n, (n-2)/n,. once, 2/n, 1/n.
The step (3) specifically comprises the following steps: adding a time weight to the number of tickets generated by the ticket generator, resulting in a total number of ticket holders for each master device after considering the time weight:
assuming that there are n master devices, each master device generates a total of s lottery ticket holders0=r0*b0f0(t), s1=r1*b1f1(t)+s0,s2=r2*b2f2(t)+s1,...,sn-1=rn-1*bn-1fn-1(t)+sn-2,sn=rn*bnfn(t)+sn-1(ii) a Wherein r is0,r1,r2,rn-1,rnThe number of tickets initially allocated for master device n-1 and master device n, which dynamically changes over time in the dynamic lottery priority method, is master device 0, master device 1, master device 2, ·; b0,b1,b2,..., bn-1,bnRespectively indicating that a main device 0, a main device 1, a main device 2, a main device n-1 and a main device n send out requests, if the requests are sent out, the value is 1, otherwise, the value is 0; f. of0,f1,f2,...,fn-1,fnRepresenting the time weights of master 0, master 1, master 2,. and master n-1, respectively.
The step (4) specifically comprises the following steps: generating a random number C by a random number generator if the value of C is (0, s)0) Selecting a first master device within the range; if the value of C is in(s)0,s1) Selecting a second master device within the range; if the value of C is in(s)1,s2) Selecting a third main device within the range; if the value of C is in(s)n-1,sn) Within the range, selecting the nth main equipment; when the request signal is valid and the permission signal is valid, the selected device is output as the device having the highest priority.
According to the technical scheme, the beneficial effects of the invention are as follows: firstly, the invention considers that the main equipment with higher priority is endowed with more lottery numbers, and the lottery numbers obtained by the main equipment are influenced by the time when the main equipment sends the request, under the condition that other conditions are not changed, the earlier the request time is, the more the lottery numbers are; secondly, the invention provides a function expression of time weight, the weight function is in direct proportion to the sequence of the request time, and the earlier the request time is, the larger the value of the weight function is; thirdly, the present invention modifies the existing lottery ticket calculation method by using the proposed time weight function, so that the lottery ticket number calculation fully considers the time factor.
Drawings
FIG. 1 is a schematic diagram of time weight assignment;
FIG. 2 is a schematic illustration of arbitration priorities of dynamic hybrid lottery tickets requiring time modulation;
FIG. 3 is a schematic diagram of the time weights of four master devices in a lottery priority arbitration method;
FIG. 4 is a flow chart of the method of the present invention.
Detailed Description
As shown in fig. 4, a dynamic hybrid lottery method for multiprocessor priority arbitration, the method comprising the sequential steps of:
the method comprises the following steps in sequence:
(1) the lottery generator dynamically generates the initial lottery number of each main device, and the initial lottery number takes any value in each clock cycle within a set interval range; the lottery generator may be implemented with a random number generator;
(2) calculating the time weight f (t) of each main device according to the sequence of the request time;
(3) calculating the total number of lottery ticket holdings of each main device after considering the time weight;
(4) and (4) generating a random number by a random number generator, comparing the random number with the total number of the lottery held by each main device obtained in the step (3), and selecting the corresponding main device for output.
In step (2), the time weight f (t) of each master device is calculated as follows:
f(t)=(n-i+1)/n (1)
in the formula, n is the total number of the main equipment; i is the order of sending the requests, and the order corresponds to the sequence of the request time;
distributing weight according to the request time, wherein the earlier the request time is, the greater the weight is; assuming that the total number of the master devices is n and the order of the master device requests is i, the time weight of the master device requests is (n-i +1)/n, so that the device with the earliest request time, i.e. the device with the 1 st request, has a weight of 1, and as time sequentially moves backwards, the time weight of the master device is sequentially (n-1)/n, (n-2)/n,. once, 2/n, 1/n.
The step (3) specifically comprises the following steps: adding a time weight to the number of tickets generated by the ticket generator, resulting in a total number of ticket holders for each master device after considering the time weight:
assuming that there are n master devices, each master device generates a total of s lottery ticket holders0=r0*b0f0(t), s1=r1*b1f1(t)+s0,s2=r2*b2f2(t)+s1,...,sn-1=rn-1*bn-1fn-1(t)+sn-2,sn=rn*bnfn(t)+sn-1(ii) a Wherein r is0,r1,r2,rn-1,rnThe number of tickets initially allocated for master device n-1 and master device n, which dynamically changes over time in the dynamic lottery priority method, is master device 0, master device 1, master device 2, ·; b0,b1,b2,..., bn-1,bnRespectively indicating that a main device 0, a main device 1, a main device 2, a main device n-1 and a main device n send out requests, if the requests are sent out, the value is 1, otherwise, the value is 0; f. of0,f1,f2,...,fn-1,fnRepresenting the time weights of master 0, master 1, master 2,. and master n-1, respectively.
The step (4) specifically comprises the following steps: generating a random number C by a random number generator if the value of C is (0, s)0) Selecting a first master device within the range; if the value of C is in(s)0,s1) Selecting a second master device within the range; if the value of C is in(s)1,s2) Selecting a third main device within the range; if the value of C is in(s)n-1,sn) Within the range, selecting the nth main equipment;when the request signal is valid and the permission signal is valid, the selected device is output as the device having the highest priority. Here, the request signal means b issued by the master device0、b1、b2And b3When the request signal is valid, the value is 1, and when the request signal is invalid, the value is 0; the enabling signal is g sent by the answering device0、g1、g2、 g3When the enable signal is valid, the value is 1, and when the enable signal is invalid, the value is 0.
The invention is further described below with reference to fig. 1 to 4.
As shown in fig. 1, Master X, Master Y,.,. Master K, Master Q,.., Master C, and Master D sequentially enter the circular queue in chronological order. Assuming that the total number of masters is n, the request time assignment weights are as follows:
assuming that the total number of masters is n and the order of master requests is i, the temporal weight of the master request is (n-i +1)/n, so that the device with the earliest request time, i.e., the 1 st requested device, has a weight of 1, and as time sequentially moves backward, the temporal weight of the master is sequentially (n-1)/n, (n-2)/n.
As shown in fig. 2, a variable of the request time is added to the number of tickets generated based on the conventional dynamic lottery priority arbitration. In the figure r0,r1,r2And r3The lottery numbers are distributed to the main equipment 0, the main equipment 1, the main equipment 2 and the main equipment 3 at the beginning, and the lottery numbers corresponding to different main equipment in each clock period are dynamically changed. The conventional main device demand signal is a time-independent boolean variable, which is set to 1 when requested; when there is no request, the demand signal is set to 0. Unlike the conventional dynamic lottery ticket generation method, the present invention proposes to set the demand signal as a function of time, i.e., b0f0(t)、b1f1(t)、b2f2(t) and b3f3(t) wherein b0、b1、b2And b3Is a Boolean variable, which indicates whether a request signal is sent, and takes a value of only 0 or1, respectively. f. of0(t)、f1(t)、f2(t) and f3(t) is a time dependent weighting function. At r0,r1,r2And r3And b is0f0(t)、b1f1(t)、b2f2(t) and b3f3(t) under the combined action of the two lottery tickets, the number of the generated lottery tickets is s0=r0*b0f0(t)、s1=r1*b1f1(t)+s0、s2=r2*b2f2(t)+s1And s3=r3*b3f3(t)+s2. At this time, the random number and s generated by the random number generator0、s1、s2And s3By comparison, a priority order, g, is generated0、 g1、g2、g3Indicating an enable signal, and sequentially selecting the master device with the highest priority to respond when the enable signal is effective.
As shown in fig. 3, if the master device 0, the master device 1, the master device 2, and the master device 3 are enqueued for the 2 nd, the 4 th, the 3 rd, and the 1 st according to the time-first-later order. Then the time weights of master 0, master 1, master 2, and master 3 are respectively according to the formula (n-i +1)/n (where n is the total number of devices, i is the enqueue order, and the earlier the order is, meaning the earlier the request time is): 3/4,1/4,2/4,1.
Based on the time weights calculated in FIG. 3, the total number s of each master device lottery ticket held by the lottery generator in FIG. 20,s1,s2And s3Can be written as formula (1)
Figure RE-GDA0003369661980000051
In the formula (I), the compound is shown in the specification,
Figure BDA0003323419900000052
denotes rounding up, r0,r1,r2And r3Number of initial lottery ticket held for each master device, b0、b1、b2And b3Whether a request signal is sent or not is shown, if so, the value is 1, otherwise, the value is 0.
In summary, the present invention considers that the number of lottery tickets given to the master device with higher priority is larger, and also considers that the number of lottery tickets obtained by the master device is influenced by the time when the master device makes a request, and under the condition that other conditions are not changed, the earlier the request time is, the more the lottery tickets are; secondly, the invention provides a function expression of time weight, the weight function is in direct proportion to the sequence of the request time, and the earlier the request time is, the larger the value of the weight function is; thirdly, the present invention modifies the existing lottery ticket calculation method by using the proposed time weight function, so that the lottery ticket number calculation fully considers the time factor.

Claims (4)

1. A dynamic hybrid lottery method for multiprocessor priority arbitration, characterized by: the method comprises the following steps in sequence:
(1) the lottery generator dynamically generates the initial lottery number of each main device, and the initial lottery number takes any value in each clock period within a set interval range;
(2) calculating the time weight f (t) of each main device according to the sequence of the request time;
(3) calculating the total number of lottery ticket holdings of each main device after considering the time weight;
(4) and (4) generating a random number by a random number generator, comparing the random number with the total number of the lottery held by each main device obtained in the step (3), and selecting the corresponding main device for output.
2. The dynamic hybrid lottery method for multiprocessor priority arbitration of claim 1, wherein: in step (2), the time weight f (t) of each master device is calculated as follows:
f(t)=(n-i+1)/n (1)
in the formula, n is the total number of the main equipment; i is the order of sending the requests, and the order corresponds to the sequence of the request time;
distributing weight according to the request time, wherein the earlier the request time is, the greater the weight is; assuming that the total number of masters is n and the order of master requests is i, the temporal weight of the master request is (n-i +1)/n, so that the device with the earliest request time, i.e., the 1 st requested device, has a weight of 1, and as time sequentially moves backward, the temporal weight of the master is sequentially (n-1)/n, (n-2)/n.
3. The dynamic hybrid lottery method for multiprocessor priority arbitration of claim 1, wherein: the step (3) specifically comprises the following steps: adding a time weight to the number of tickets generated by the ticket generator, resulting in a total number of ticket holders for each master device after considering the time weight:
assuming that there are n master devices, each master device generates a total of s lottery ticket holders0=r0*b0f0(t),s1=r1*b1f1(t)+s0,s2=r2*b2f2(t)+s1,...,sn-1=rn-1*bn-1fn-1(t)+sn-2,sn=rn*bnfn(t)+sn-1(ii) a Wherein r is0,r1,r2,rn-1,rnThe number of initially assigned tickets for master device 0, master device 1, master device 2, and master device n-1 and master device n, respectively, which dynamically changes over time in a dynamic lottery priority method; b0,b1,b2,...,bn-1,bnRespectively indicating that a main device 0, a main device 1, a main device 2, a main device n-1 and a main device n send out requests, if the requests are sent out, the value is 1, otherwise, the value is 0; f. of0,f1,f2,...,fn-1,fnRepresenting the time weights of master 0, master 1, master 2,. and master n-1 and master n, respectivelyAnd (4) heavy.
4. The dynamic hybrid lottery method for multiprocessor priority arbitration of claim 1, wherein: the step (4) specifically comprises the following steps: generating a random number C by a random number generator if the value of C is (0, s)0) Selecting a first master device within the range; if the value of C is in(s)0,s1) Selecting a second master device within the range; if the value of C is in(s)1,s2) Selecting a third main device within the range; if the value of C is in(s)n-1,sn) Within the range, selecting the nth main equipment; when the request signal is valid and the permission signal is valid, the selected device is output as the device having the highest priority.
CN202111254497.6A 2021-10-27 2021-10-27 Dynamic mixed lottery method for multiprocessor priority arbitration Active CN113971144B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111254497.6A CN113971144B (en) 2021-10-27 2021-10-27 Dynamic mixed lottery method for multiprocessor priority arbitration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111254497.6A CN113971144B (en) 2021-10-27 2021-10-27 Dynamic mixed lottery method for multiprocessor priority arbitration

Publications (2)

Publication Number Publication Date
CN113971144A true CN113971144A (en) 2022-01-25
CN113971144B CN113971144B (en) 2024-04-16

Family

ID=79588574

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111254497.6A Active CN113971144B (en) 2021-10-27 2021-10-27 Dynamic mixed lottery method for multiprocessor priority arbitration

Country Status (1)

Country Link
CN (1) CN113971144B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115580585A (en) * 2022-11-17 2023-01-06 沐曦集成电路(南京)有限公司 Balanced arbitration method based on arbiter

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5463624A (en) * 1994-04-15 1995-10-31 Dsc Communications Corporation Bus arbitration method for telecommunications switching
US5956493A (en) * 1996-03-08 1999-09-21 Advanced Micro Devices, Inc. Bus arbiter including programmable request latency counters for varying arbitration priority
US20020129181A1 (en) * 2001-01-03 2002-09-12 Nec Usa, Inc. High-performance communication architecture for circuit designs
CN102576350A (en) * 2009-08-21 2012-07-11 谷歌公司 System and method of caching information
CN103299271A (en) * 2011-01-11 2013-09-11 惠普发展公司,有限责任合伙企业 Concurrent request scheduling
CN107301546A (en) * 2017-05-03 2017-10-27 北京众享比特科技有限公司 Generating random number and methods for using them and device
US20210050045A1 (en) * 2019-08-16 2021-02-18 Micron Technology, Inc. Memory element for weight update in a neural network
US20210124696A1 (en) * 2019-10-23 2021-04-29 Infineon Technologies Ag Device for a single wire digital bus, master device, sensor, and method to assign addresses to multiple devices on a single wire digital bus
JP2021082103A (en) * 2019-11-21 2021-05-27 ルネサスエレクトロニクス株式会社 Arbitration circuit, data forwarding system, and arbitration method by arbitration circuit

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5463624A (en) * 1994-04-15 1995-10-31 Dsc Communications Corporation Bus arbitration method for telecommunications switching
US5956493A (en) * 1996-03-08 1999-09-21 Advanced Micro Devices, Inc. Bus arbiter including programmable request latency counters for varying arbitration priority
US20020129181A1 (en) * 2001-01-03 2002-09-12 Nec Usa, Inc. High-performance communication architecture for circuit designs
CN102576350A (en) * 2009-08-21 2012-07-11 谷歌公司 System and method of caching information
CN103299271A (en) * 2011-01-11 2013-09-11 惠普发展公司,有限责任合伙企业 Concurrent request scheduling
CN107301546A (en) * 2017-05-03 2017-10-27 北京众享比特科技有限公司 Generating random number and methods for using them and device
US20210050045A1 (en) * 2019-08-16 2021-02-18 Micron Technology, Inc. Memory element for weight update in a neural network
US20210124696A1 (en) * 2019-10-23 2021-04-29 Infineon Technologies Ag Device for a single wire digital bus, master device, sensor, and method to assign addresses to multiple devices on a single wire digital bus
JP2021082103A (en) * 2019-11-21 2021-05-27 ルネサスエレクトロニクス株式会社 Arbitration circuit, data forwarding system, and arbitration method by arbitration circuit

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
KHANAM, R ETAL: "Design a low latency Arbiter for on chip Communication Architecture", 《 2015 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION & AUTOMATION (ICCCA)》, 22 September 2016 (2016-09-22), pages 1421 - 1426 *
T. TAKIZAWA ETAL: "An efficient memory arbitration algorithm for a single chip MPEG2 AV decoder", 《2001 INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS, DIGEST OF TECHNICAL PAPERS》, 21 July 2001 (2001-07-21), pages 182 - 183 *
檀明 等: "面向抖动优化的任务静态优先级指派算法", 《计算机工程》, vol. 38, no. 20, 20 October 2012 (2012-10-20), pages 282 - 285 *
赵琳: "多路总线仲裁算法优化研究", 《电子设计工程》, vol. 26, no. 07, 5 April 2018 (2018-04-05), pages 14 - 17 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115580585A (en) * 2022-11-17 2023-01-06 沐曦集成电路(南京)有限公司 Balanced arbitration method based on arbiter

Also Published As

Publication number Publication date
CN113971144B (en) 2024-04-16

Similar Documents

Publication Publication Date Title
US7577780B2 (en) Fine-grained bandwidth control arbiter and the method thereof
CN111210136B (en) Robot task scheduling method and server
US20130339977A1 (en) Managing task load in a multiprocessing environment
Stüdli et al. Optimal real-time distributed V2G and G2V management of electric vehicles
CN105205020B (en) It arbitrates to direct memory access channel request
CN113971144A (en) Dynamic hybrid lottery method for multiprocessor priority arbitration
CN109543947A (en) Method, apparatus and terminal device based on the task distribution for surveying grid
CN100514316C (en) Dynamic self-adaptive bus arbiter based on microprocessor-on-chip
CN111284347B (en) State clustering coding method in charging station vehicle access control
CN109087524A (en) Parking stall distribution method and device
CN104581967A (en) Method for adjusting contention access resource, and method and device for sending contention access request
CN116991585A (en) Automatic AI calculation power scheduling method, device and medium
CN113283778A (en) Layered convergence federated learning method based on security evaluation
CN109615920A (en) The creation method and relevant device of virtual parking area
US6754658B1 (en) Database server processing system, method, program and program storage device
CN115499306B (en) Method and device for constructing flow scheduling model, electronic equipment and storage medium
Chen et al. A real-time and bandwidth guaranteed arbitration algorithm for SoC bus communication
CN103051548B (en) Based on hierarchical organization method and the organization system of communication delay
CN115190127A (en) Evidence storing method, device and system for computing power service
US8489752B2 (en) Method and system for controlling bus access
CN110234167A (en) A kind of method for channel allocation, channel dividing arrangement and electronic equipment
CN104917692B (en) A kind of method and apparatus for distributing token
CN114091932A (en) Resource scheduling method, device, medium and electronic equipment
CN107707383B (en) Put-through processing method and device, first network element and second network element
CN112114949A (en) Service scheduling method and system for cloud computing

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
GR01 Patent grant
GR01 Patent grant