CN102207883A - Transaction scheduling method of heterogeneous distributed real-time system - Google Patents
Transaction scheduling method of heterogeneous distributed real-time system Download PDFInfo
- Publication number
- CN102207883A CN102207883A CN2011101458047A CN201110145804A CN102207883A CN 102207883 A CN102207883 A CN 102207883A CN 2011101458047 A CN2011101458047 A CN 2011101458047A CN 201110145804 A CN201110145804 A CN 201110145804A CN 102207883 A CN102207883 A CN 102207883A
- Authority
- CN
- China
- Prior art keywords
- affairs
- time
- priority
- transaction
- nuclear
- 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
Images
Landscapes
- Computer And Data Communications (AREA)
Abstract
The invention relates to a transaction priority determination method in the field of heterogeneous distributed parallel processing. The method comprises the following steps of: determining the priority of a global transaction; distributing sub-transactions which are obtained by dividing the global transaction according to physical positions of data relevant to the sub-transactions; dynamically determining the priority of respective parts of local transactions; performing parallel processing on the local transactions; and returning an execution result. The invention provides a flow for dynamically determining the priority of the transaction based on a heterogeneous distributed system, so the real-time property and reliability of the system on processing of the global transaction are guaranteed.
Description
Technical field
The invention belongs to the distributed parallel process field, particularly be based on the dynamic transaction dispatching method of heterogeneous distributed real-time system.
Background technology
Many Information System configuration processes as traditional industries such as electric power, oil, petrochemical industry, traffic, logistics have been accelerated in the continuous evolution of current I T technology.But rapid growth on the data bulk that needs to handle in real time along with infosystem in the practical application disperses on the position to deposit, and traditional centralized processing system can't tackle, and therefore adopting distributed parallel to handle Real-time Transaction becomes development trend.The raising of this significant progress on dominant frequency and bandwidth of microprocessor simultaneously and polycaryon processor manufacture craft has further improved the ability of system's executed in parallel affairs.
But how to make full use of the performance of distributed structure/architecture and polycaryon processor, guarantee the efficient of system handles global transaction, the real-time that promptly guarantees global transaction is the problem that needs concern, therefore need study the priority that rational strategy is determined affairs at heterogeneous distributed multi-core environment, system is that standard is dispatched with this priority, the affairs that guarantee high priority are preferentially carried out, and have satisfied the real-time of affairs.Therefore, be necessary that research is applicable to and according to each processor cores running status and affairs forerunner implementation status, dynamically carries out the transaction scheduling method by heterogeneous distributed multi-core environment.
Summary of the invention
The objective of the invention is to satisfy the actual demand of distributed system, a kind of dynamic transaction scheduling method is provided in order to improve the parallel processing performance of distributing real-time data bank system handles complex transaction.
For achieving the above object, method provided by the invention may further comprise the steps:
Step 2, global transaction scheduler judge whether certain global transaction can decompose; If these affairs can be decomposed, then the plurality of sub affairs are analyzed and be decomposed into to the global transaction scheduler to this global transaction by the physical location of semantic and the data that relate to, the subtransaction that decomposition is obtained is assigned to the local affairs that become each node on the appropriate nodes, and the initial priority of each local affairs is the priority of former global transaction;
Otherwise, this global transaction is assigned on the appropriate nodes as local affairs;
Step 4 is assigned the node of subtransaction to each, carries out following steps respectively:
Step 4-1, determine the time that each kernel of the polycaryon processor of this intranodal can begin to carry out new affairs the earliest; Because each kernel etc. also exist in the pending formation some other affairs etc. pending, so transaction scheduling still needs to wait for after this process nuclear.Avail (m) shows that nuclear m will wait in the pending formation existing affairs to be finished and can begin to carry out the time of new affairs, this time can be weighed by pending affairs scale such as estimating in this nuclear, and the affairs scale is read and write number of times by affairs in the unit interval and judged.
But in fact owing to be based on the scheduling mode of the preemptive type of priority, the time ratio avail (m) that kernel really begins to carry out these affairs wants early.
Step 4-2 determines that all forerunner's affairs of each affairs of this node are finished the time; When affairs after successful execution finishes in process nuclear, local transaction scheduler can writing time for its subsequent transaction inquiry, so affairs determine that by inquiring about local transaction scheduler all forerunner's affairs are finished the time.
If forerunner's affairs of these affairs are inlet affairs then this time to be made as 0.
Step 4-3 determines the communication time loss between each affairs of this node; If father's affairs and subtransaction are carried out on same nuclear, then data transfer time between the two can be considered as 0.If carry out but be assigned on the different IPs, there is data transfer time between then, linear with the scale of affairs itself, be expressed as:
Trans_T
mn=Trans_b
mn+Trans_a
i·t
i (1)
Trans_T wherein
MnExpression is delivered to the time that nuclear n needs with data at nuclear m.t
iWhat represent is the scale of affairs, weighs Trans_a by the read-write number of times in the unit interval
iExpression be the linear factor of scale and the affairs of affairs time of between different nodes, transmitting.Trans_b
MnWhat represent is initiation parameter.
If forerunner's affairs of same these affairs are inlet affairs then this time to be made as 0.
Step 4-4, affairs are at the earliest start time EST of each kernel really.EST (a
i, m) expression affairs a
iNuclear on the m the earliest can the start time.EST (a
i, m) can calculate by following formula:
EST (a
i, m)=and Max{avail (m), Max{EFT (a
x)+Trans_T
Mn(a wherein
x∈ pred (a
i)) (2)
EFT(a
i,m)=T
i+EST(a
i,m) (3)
Pred (a wherein
i) expression affairs a
iAll forerunner's affairs, avail (m) shows the idle time of can early start carrying out next affairs of nuclear m, weigh by the affairs scale of estimating wait scheduling in this nuclear, the affairs scale is judged by affairs read-write number of times in the unit interval equally.Trans_T
MnThe loss of expression data transfer time obtains by formula (1), then is made as 0 if transmit in same nuclear.Affairs a
iAt nuclear m start time EST (a
i, m) add affairs execution time T itself
iObtain affairs a
iTime EFT (a the earliest is finished on nuclear m
i, m).So affairs earliest start time in nuclear is determined jointly by three parts such as time loss that kernel can begin to carry out the time of affairs, time that all forerunner father's affairs of these affairs are finished and path transmission.
Step 4-5, when affairs when last layer is carried out this layer, recomputate the priority of each affairs in this layer, priority can calculate according to following formula:
rank(a
i)=1/min{EST(a
i,1),...,EST(a
i,n)}+rank
0 (4)
Rank (a wherein
i) expression affairs a
iPriority, suppose that node is the n core processor, therefrom choose and guarantee affairs a
iThe nuclear that early start is carried out is scheduling destination, rank
0The priority size of expression inlet affairs is the priority of global transaction;
Step 4-6 according to the priority that step 4-5 calculates, resequences to priority query;
Step 4-7, kernel is carried out affairs according to priority query, and local transaction scheduler monitors executing state and feeds back to the global transaction scheduler; If run succeeded, then write down execution result and execution concluding time; If carry out failure, then return error code and carry out necessary rolling back action.
Step 4-8 judges with each affairs of layer whether all be finished in each nuclear; If not then wait for;
Step 4-9 is finished with layer, then changes lower floor over to, returns step 4-5, up to carrying out the outlet affairs, promptly should the part affairs be finished;
Step 4-10 returns to the global transaction management system with local transaction execution results, carries out the result for it and gathers and return to application server.
Further improve,, make urgent affairs preferentially carry out by the method for setting priority, thereby guaranteed the real-time of affairs for Real-time Transaction.
The present invention proposes a kind of method of dynamically determining affairs priority, node is dynamically determined the priority of affairs according to the current implementation status of processor cores, and be standard with this priority, transaction scheduling is carried out to idle relatively kernel, reduced the execution time of local affairs, thereby improved response performance on the whole global transaction.The priority of affairs is dynamically to adjust according to the executing state of front, thereby has good adaptability, has avoided the estimation to the affairs execution time itself simultaneously in the priority deterministic process, thereby has reduced computational complexity, is convenient to practical operation.
Description of drawings
Above-mentioned explanation is the general introduction of technical solution of the present invention, for can clearer understanding technological means of the present invention, and can be implemented according to the content of instructions, and in order to allow above-mentioned purpose of the present invention, feature and advantage become apparent, below list accompanying drawing and in conjunction with detailed implementation step.
Fig. 1 is a heterogeneous distributed real-time system structural representation of the present invention.
Fig. 2 is the directed acyclic graph that the present invention relates to complex transaction partition and each local affairs.
Fig. 3 is the schematic flow sheet of definite affairs priority of the present invention.
Embodiment
For further setting forth the present invention,, realize the method based on definite affairs priority of heterogeneous distributed real-time system of the present invention's proposition below in conjunction with accompanying drawing and detailed implementation step for reaching expection goal of the invention and effect.Core concept of the present invention is, the priority of the affairs of node is dynamically determined to be assigned in deadline by considering the affairs forerunner, the state status of node itself and the aspects such as time loss that affairs are transmitted, the affairs priority scheduling that guarantees high priority is carried out, thereby has guaranteed the real-time of global transaction.Further describe embodiment of the present invention below in conjunction with accompanying drawing.
Fig. 1 be the present invention based on the structural drawing of heterogeneous distributed system.Heterogeneous distributed system comprises global transaction management system, some local real times transaction management system 1,2...n, the global transaction management system of application server deploy as root node, global transaction management system root node by network and strange land as the local transaction management system 1 of leaf node, the composition distributed system of 2...n.
Wherein the processing of the not responsible affairs of global transaction management system itself is dispatched on the appropriate nodes and just will decompose each subtransaction that obtains by global transaction by the global transaction scheduler.And monitor the implementation status of subtransaction in real time at each node.To merge by the result that each node returns at last, feed back to client.
Local transaction management system is made up of multiple-core server, responsible processing is stored in the local real time data of being obtained by acquisition layer that obtains, each local transaction management system has a local transaction scheduler to be responsible for dispatching affairs and monitors polycaryon processor executed in parallel affairs situation, and the result that will carry out feeds back to the global transaction management system.Native system is a kind of heterogeneous distributed system, so the system software of the number of the nuclear that comprises of the polycaryon processor of each node and operation can be inequality.
Fig. 2 is that the global transaction that the present invention relates to decomposes and local transaction model synoptic diagram.Global transaction T as shown in Figure 2 can be divided into global transaction T according to the node location at the data place of its operation: T={ST
0| ST
1∪ ST
2∪ ST
3.Subtransaction ST wherein
1Physical location according to its data that relate to is assigned to node 1, and its transaction model can be used directed acyclic graph (DAG) expression, subtransaction ST as can be seen
1The step a that comprises
2, a
3Can executed in parallel; Subtransaction ST in like manner
2Be assigned to node 2, by its transaction model comprise equally as can be seen can executed in parallel part; Subtransaction ST
3Be assigned to node 3, it can not further decompose for basic operation also just can not executed in parallel.ST
0Be responsible for coordinating each subtransaction execution and result's merging.
For subtransaction ST
1, ST
2, because its structure is comparatively complicated, the affairs that it can be comprised are assigned to process nuclear different in the polycaryon processor and carry out parallel processing.Need to prove that each kernel of said polycaryon processor has independently processing unit and Cache here, each kernel is by message communicating, can be with the Cache of kernel as pending formations such as affairs.If being assigned to the affairs that subtransaction comprised that same node belongs to different global transactions is assigned on the same process nuclear, then need according to priority and by the arrangement of time execution sequence, each pending affairs are waited in waiting pending formation according to this order, guarantee the preferential execution of high priority like this, thereby guaranteed the real-time of global transaction on the whole.
Fig. 3 is a process flow diagram of the present invention, the following steps that this flow process specifically comprises:
T={ST
1∪ST
2∪K∪ST
m}
Wherein m represents to constitute the number of the real-time subtransaction of distributed real-time affairs T.When m>1, show that these affairs can decompose; Then these affairs are as a whole when m=1 can not carry out operation splitting.The global transaction scheduler is analyzed by the physical location of semantic and the data that relate to this global transaction and is decomposed.With the subtransaction that decomposition obtains, for example the mode by hash or delivery is assigned on the appropriate nodes.The priority and the former global transaction of each subtransaction that decomposes are consistent simultaneously.
In the DAG model, there is dependence between each affairs, need to wait for after his father's affairs are finished the result can be begun to carry out as input parameter.General by forerunner pred (a
i) and follow-up succ (a
i) this data, the control dependence of expression between the affairs.As the local affairs ST of Fig. 2
2DAG shown in, affairs a wherein
1Without any forerunner's affairs, be called the inlet affairs, a
5Become the outlet affairs without any subtransaction.The affairs that will enter the mouth a
1All affairs with dependence are included into the DAG structure second layer, ST
2In be a
2And a
3, a then
1Be a
2, a
3Father's affairs, a
2, a
3Be a
1Subtransaction, a simultaneously
2, a
3Can be assigned to different disposal nuclear and go up executed in parallel, can make up the 3rd layer successively till arriving the outlet affairs.Therefore affairs can successively be dispatched on node, begin to carry out this layer affairs again after soon all forerunner's affairs of affairs all will be finished.
Need to prove the analysis of local affairs and monitor that its each several part all is to be finished by the local transaction scheduler of intranodal in the implementation status of each kernel.
Step 304 determines that each kernel of this node can begin to carry out the time of new affairs the earliest.Because each kernel etc. also exist in the pending formation some other affairs etc. pending, so transaction scheduling still needs to wait for after this process nuclear.Avail (m) shows that nuclear m will wait in the pending formation existing affairs to be finished and can begin to carry out the time of new affairs, this time can be weighed by pending affairs scale such as estimating in this nuclear, and the affairs scale is read and write number of times by affairs in the unit interval and judged.
But in fact owing to be based on the scheduling mode of the preemptive type of priority, the time ratio avail (m) that kernel really begins to carry out these affairs wants early.
If forerunner's affairs of these affairs are inlet affairs then this time to be made as 0.
Trans_T
mn=Trans_b
mn+Trans_a
i·t
i (1)
Trans_T wherein
MnExpression is delivered to the time that nuclear n needs with data at nuclear m.t
iWhat represent is the scale of affairs, weighs Trans_a by the read-write number of times in the unit interval
iExpression be the linear factor of scale and the affairs of affairs time of between different nodes, transmitting.Trans_b
MnWhat represent is initiation parameter.
If forerunner's affairs of same these affairs are inlet affairs then this time to be made as 0.
EST (a
i, m)=and Max{avail (m), Max{EFT (a
x)+Trans_T
Mn(a wherein
x∈ pred (a
i)) (2)
EFT(a
i,m)=T
i+EST(a
i,m) (3)
Pred (a wherein
i) expression affairs a
iAll forerunner's affairs, avail (m) shows the idle time of can early start carrying out next affairs of nuclear m, weigh by the affairs scale of estimating wait scheduling in this nuclear, the affairs scale is judged by affairs read-write number of times in the unit interval equally.Trans_T
MnThe loss of expression data transfer time obtains by formula (1), then is made as 0 if transmit in same nuclear.Affairs a
iAt nuclear m start time EST (a
i, m) add affairs execution time T itself
iObtain affairs a
iTime EFT (a the earliest is finished on nuclear m
i, m).So affairs earliest start time in nuclear is determined jointly by three parts such as time loss that kernel can begin to carry out the time of affairs, time that all forerunner father's affairs of these affairs are finished and path transmission.
When affairs when the last layer of logic is delivered to this layer, need redefine priority.Priority can calculate according to following formula:
rank(a
i)=1/min{EST(a
i,1),...,EST(a
i,n)}+rank
0 (4)
Rank (a wherein
i) expression affairs a
iPriority, suppose that node is the n core processor, therefrom choose and guarantee affairs a
iThe nuclear that early start is carried out is the scheduling destination.Rank
0The priority size of expression inlet affairs is the priority of global transaction.Can draw time that affairs can begin to carry out the earliest from this formula, priority is also corresponding the highest.
Step 309 judges with each affairs of layer whether all be finished in each nuclear.If not then wait for.
It should be noted last that, above embodiment is only unrestricted in order to technical scheme of the present invention to be described, although the present invention is had been described in detail with reference to preferred embodiment, those of ordinary skill in the art is to be understood that, can make amendment or be equal to replacement technical scheme of the present invention, and not breaking away from the spirit and scope of technical solution of the present invention, it all should be encompassed in the middle of the claim scope of the present invention.
Claims (2)
1. the transaction scheduling method of a heterogeneous distributed real-time system is characterized in that, may further comprise the steps:
Step 1, the global transaction scheduler of global transaction management system distribute priority for each global transaction;
Step 2, global transaction scheduler judge whether certain global transaction can decompose; If these affairs can be decomposed, then the plurality of sub affairs are analyzed and be decomposed into to the global transaction scheduler to this global transaction by the physical location of semantic and the data that relate to, the subtransaction that decomposition is obtained is assigned to and becomes local affairs on the appropriate nodes, and the initial priority of each local affairs is the priority of former global transaction;
Otherwise, this global transaction is assigned on the appropriate nodes as local affairs;
Step 3, the local real time's transaction management system on each node make up the directed acyclic graph model to the local affairs of this node respectively, and this directed acyclic graph model comprises the transaction layer of some forerunners of having, follow-up dependence;
Step 4 is assigned the node of subtransaction to each, carries out following steps respectively:
Step 4-1, determine the time that each kernel of the polycaryon processor of this intranodal can begin to carry out new affairs the earliest;
Step 4-2 determines that all forerunner's affairs of each affairs of this node are finished the time;
Step 4-3 determines the communication loss time between each affairs of this node; If father's affairs and subtransaction are carried out on same nuclear, then data transfer time between the two can be considered as 0; Carry out if be assigned on the different IPs, then the communication loss time between each affairs is:
Wherein
Data are being examined in expression
Be delivered to nuclear
The time that needs,
What represent is the scale of affairs, weigh by the read-write number of times in the unit interval,
Expression be the linear factor of scale and the affairs of affairs time of between different nodes, transmitting,
What represent is initiation parameter;
Step 4-4, each affairs is in the earliest start time of each kernel really;
The expression affairs
At nuclear
On the earliest can the start time,
Can calculate by following formula:
Wherein
The expression affairs
All forerunner's affairs,
,
Show nuclear
The idle time of can early start carrying out next affairs, to weigh by estimating this nuclear in, to wait for the affairs scale of dispatching, the affairs scale is read and write number of times by affairs in the unit interval equally and is judged;
The loss of expression data transfer time obtains by formula (1), then is made as 0 if transmit in same nuclear; Affairs
At nuclear
Start time
Add the affairs execution time itself
Obtain affairs
At nuclear
On be finished the time the earliest
Step 4-5, when affairs when last layer is carried out this layer, recomputate the priority of each affairs in this layer, priority can calculate according to following formula:
Wherein
The expression affairs
Priority, suppose that node is
Core processor is therefrom chosen the assurance affairs
The nuclear that early start is carried out is the scheduling destination,
The priority size of expression inlet affairs is the priority of global transaction;
Step 4-6 according to the priority that step 4-5 calculates, resequences to priority query;
Step 4-7, kernel is carried out affairs according to priority query, and local transaction scheduler monitors executing state and feeds back to the global transaction scheduler; If run succeeded, then write down execution result and execution concluding time; If carry out failure, then return error code and carry out necessary rolling back action;
Step 4-8 judges with each affairs of layer whether all be finished in each nuclear; If not then wait for;
Step 4-9 is finished with layer, then changes lower floor over to, returns step 4-5, up to carrying out the outlet affairs, promptly should the part affairs be finished;
Step 4-10 returns to the global transaction management system with local transaction execution results, carries out the result for it and gathers and return to application server.
2. the transaction scheduling method of heterogeneous distributed real-time system according to claim 1 is characterized in that, in described step 4-5, for the high Real-time Transaction of urgency level, can directly give its priority is rank
0
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2011101458047A CN102207883A (en) | 2011-06-01 | 2011-06-01 | Transaction scheduling method of heterogeneous distributed real-time system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2011101458047A CN102207883A (en) | 2011-06-01 | 2011-06-01 | Transaction scheduling method of heterogeneous distributed real-time system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN102207883A true CN102207883A (en) | 2011-10-05 |
Family
ID=44696731
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2011101458047A Pending CN102207883A (en) | 2011-06-01 | 2011-06-01 | Transaction scheduling method of heterogeneous distributed real-time system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN102207883A (en) |
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103377032A (en) * | 2012-04-11 | 2013-10-30 | 浙江大学 | Fine granularity scientific computation parallel processing device on basis of heterogenous multi-core chip |
CN103699455A (en) * | 2013-12-27 | 2014-04-02 | 重庆大学 | Method for acquiring accurate latest deadline in multi-core realtime fault-tolerant system |
WO2015120603A1 (en) * | 2014-02-13 | 2015-08-20 | Sap Ag | Database calculation using parallel-computation in directed acyclic graph |
CN103647834B (en) * | 2013-12-16 | 2017-03-22 | 上海证券交易所 | System and method used for processing multi-phase distributed task scheduling |
WO2017107810A1 (en) * | 2015-12-21 | 2017-06-29 | 阿里巴巴集团控股有限公司 | Database operating method and device |
CN107241281A (en) * | 2017-05-27 | 2017-10-10 | 上海东土远景工业科技有限公司 | A kind of data processing method and its device |
CN108255613A (en) * | 2018-02-07 | 2018-07-06 | 北京航空航天大学 | A kind of SOA system resource management methods based on graph coloring |
CN108415757A (en) * | 2018-02-02 | 2018-08-17 | 阿里巴巴集团控股有限公司 | distributed transaction processing method and device |
CN109388481A (en) * | 2018-09-21 | 2019-02-26 | 网易(杭州)网络有限公司 | A kind of transmission method of transaction information, device, calculates equipment and medium at system |
WO2022150995A1 (en) * | 2021-01-13 | 2022-07-21 | 王志平 | Supercomputer architecture implementation method |
CN118349319A (en) * | 2024-06-18 | 2024-07-16 | 华能信息技术有限公司 | Distributed transaction management method and system |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020194248A1 (en) * | 2001-05-01 | 2002-12-19 | The Regents Of The University Of California | Dedicated heterogeneous node scheduling including backfill scheduling |
CN101692208A (en) * | 2009-10-15 | 2010-04-07 | 北京交通大学 | Task scheduling method and task scheduling system for processing real-time traffic information |
CN101770402A (en) * | 2008-12-29 | 2010-07-07 | 中国移动通信集团公司 | Map task scheduling method, equipment and system in MapReduce system |
CN101339521B (en) * | 2008-07-28 | 2011-04-20 | 华中科技大学 | Tasks priority dynamic dispatching algorithm |
CN102063336A (en) * | 2011-01-12 | 2011-05-18 | 国网电力科学研究院 | Distributed computing multiple application function asynchronous concurrent scheduling method |
-
2011
- 2011-06-01 CN CN2011101458047A patent/CN102207883A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020194248A1 (en) * | 2001-05-01 | 2002-12-19 | The Regents Of The University Of California | Dedicated heterogeneous node scheduling including backfill scheduling |
CN101339521B (en) * | 2008-07-28 | 2011-04-20 | 华中科技大学 | Tasks priority dynamic dispatching algorithm |
CN101770402A (en) * | 2008-12-29 | 2010-07-07 | 中国移动通信集团公司 | Map task scheduling method, equipment and system in MapReduce system |
CN101692208A (en) * | 2009-10-15 | 2010-04-07 | 北京交通大学 | Task scheduling method and task scheduling system for processing real-time traffic information |
CN102063336A (en) * | 2011-01-12 | 2011-05-18 | 国网电力科学研究院 | Distributed computing multiple application function asynchronous concurrent scheduling method |
Cited By (17)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103377032A (en) * | 2012-04-11 | 2013-10-30 | 浙江大学 | Fine granularity scientific computation parallel processing device on basis of heterogenous multi-core chip |
CN103647834B (en) * | 2013-12-16 | 2017-03-22 | 上海证券交易所 | System and method used for processing multi-phase distributed task scheduling |
CN103699455A (en) * | 2013-12-27 | 2014-04-02 | 重庆大学 | Method for acquiring accurate latest deadline in multi-core realtime fault-tolerant system |
CN103699455B (en) * | 2013-12-27 | 2016-05-25 | 重庆大学 | In a kind of multinuclear real-time fault tolerance system, obtain accurately the method for deadline the latest |
WO2015120603A1 (en) * | 2014-02-13 | 2015-08-20 | Sap Ag | Database calculation using parallel-computation in directed acyclic graph |
US9576072B2 (en) | 2014-02-13 | 2017-02-21 | Sap Se | Database calculation using parallel-computation in a directed acyclic graph |
WO2017107810A1 (en) * | 2015-12-21 | 2017-06-29 | 阿里巴巴集团控股有限公司 | Database operating method and device |
CN107241281B (en) * | 2017-05-27 | 2020-01-14 | 上海东土远景工业科技有限公司 | Data processing method and device |
CN107241281A (en) * | 2017-05-27 | 2017-10-10 | 上海东土远景工业科技有限公司 | A kind of data processing method and its device |
CN108415757B (en) * | 2018-02-02 | 2020-10-30 | 创新先进技术有限公司 | Distributed transaction processing method and device |
CN108415757A (en) * | 2018-02-02 | 2018-08-17 | 阿里巴巴集团控股有限公司 | distributed transaction processing method and device |
CN108255613A (en) * | 2018-02-07 | 2018-07-06 | 北京航空航天大学 | A kind of SOA system resource management methods based on graph coloring |
CN108255613B (en) * | 2018-02-07 | 2021-01-01 | 北京航空航天大学 | SOA system resource management method based on graph coloring |
CN109388481A (en) * | 2018-09-21 | 2019-02-26 | 网易(杭州)网络有限公司 | A kind of transmission method of transaction information, device, calculates equipment and medium at system |
CN109388481B (en) * | 2018-09-21 | 2021-08-17 | 网易(杭州)网络有限公司 | Transaction information transmission method, system, device, computing equipment and medium |
WO2022150995A1 (en) * | 2021-01-13 | 2022-07-21 | 王志平 | Supercomputer architecture implementation method |
CN118349319A (en) * | 2024-06-18 | 2024-07-16 | 华能信息技术有限公司 | Distributed transaction management method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN102207883A (en) | Transaction scheduling method of heterogeneous distributed real-time system | |
CN110737529B (en) | Short-time multi-variable-size data job cluster scheduling adaptive configuration method | |
CN108009023B (en) | Task scheduling method based on BP neural network time prediction in hybrid cloud | |
Wang et al. | Cluster frameworks for efficient scheduling and resource allocation in data center networks: A survey | |
Liu et al. | Resource preprocessing and optimal task scheduling in cloud computing environments | |
CN102254246B (en) | Workflow managing method and system | |
US8473951B2 (en) | Method and system for traversing in reverse chronological order along a critical path of a plurality of jobs, and reducing time gaps between jobs until an estimated end time of the last job is less than or equal to a target end time | |
CN103309946B (en) | Multimedia file processing method, Apparatus and system | |
US20190377601A1 (en) | File Operation Task Optimization | |
US20200219028A1 (en) | Systems, methods, and media for distributing database queries across a metered virtual network | |
CN103838621B (en) | Method and system for scheduling routine work and scheduling nodes | |
US20090077235A1 (en) | Mechanism for profiling and estimating the runtime needed to execute a job | |
CN105373426B (en) | A kind of car networking memory aware real time job dispatching method based on Hadoop | |
CN110928651B (en) | Service workflow fault-tolerant scheduling method under mobile edge environment | |
CN103927225A (en) | Multi-core framework Internet information processing and optimizing method | |
CN111782627B (en) | Task and data cooperative scheduling method for wide-area high-performance computing environment | |
CN109960573A (en) | A kind of cross-domain calculating task dispatching method and system based on Intellisense | |
CN106095582A (en) | The task executing method of cloud platform | |
CN111913800B (en) | Resource allocation method for optimizing cost of micro-service in cloud based on L-ACO | |
CN108833294B (en) | Low-bandwidth-overhead flow scheduling method for data center wide area network | |
He et al. | A two-stage scheduling method for deadline-constrained task in cloud computing | |
CN102760073A (en) | Method, system and device for scheduling task | |
EP2541408B1 (en) | Method and system for processing data for database modification | |
CN109976873A (en) | The scheduling scheme acquisition methods and dispatching method of containerization distributed computing framework | |
CN116501828B (en) | Non-perception vector query method and system for server based on unstructured data set |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20111005 |