CN106327153B - Based on event directly preceding scientific workflow method for digging between the cloud of relationship - Google Patents
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Abstract
The invention discloses a kind of based on event directly preceding scientific workflow method for digging between the cloud of relationship, event log with the description of XES format is input, it is output result by the scientific workflow of format of SVG, first, parse XES file, corresponding sequence of events set is generated, the excavation of cloud clinical practice workflow is completed；Then, according to the message logging of each cloud computing platform, the excavation across scientific workflow between cloud is completed；It arranged, merged, simplified finally, for the overall scientific workflow under entire cloud platform alliance, to obtain across the scientific workflow between cloud.The work flow diagram that the present invention excavates has more completeness, accuracy, reliability, closer to actual scientific workflow process, and compared with the excavation under previous single platform, time cost is greatly saved, alleviates the burden that single platform data excavates.
Description
Technical field
The invention belongs to the field of data mining, and in particular to it is a kind of based on event directly preceding research-on-research between the cloud of relationship
Flow method for digging.
Background technique
In recent years, the concept of research-on-research flow management was applied in many enterprise information systems.It is similar to
The Workflow Management System of Staffware, IBM MQSeries, COSA etc. provide universal model and formulate structuring Business Stream
Ability.Description by patterned mode to business event successively execution sequence depicts more intuitive, intelligible industry
Business life cycle model, that is, so-called research-on-research flow model carry out highly efficient, reasonable management to business affair and transport
Battalion.Nowadays, the concept of scientific workflow is applied to every field, is not only the business process frame of enterprise, further includes all
Such as academic research of high-energy physics, bioinformatics, atmospheric science, these research process contain the data analysis of magnanimity
And processing step, scientist need to abstract problem by high-level tool, build reasonable, the efficient Business Stream of design
Journey, it is complicated, cumbersome high-level to solve the problems, such as.And scientific workflow provides such environment, by data management, divides
Analysis is emulated and is visually be combined with each other, to assist the process of scientific discovery.
Log, as the important component of computer network security, record computer each run event date,
The relevant operations such as time, user, movement.Event log contains infinite value as information treasure-house.By to event day
The analysis and research of will, and the structuring Business Stream of entire project or platform is obtained, that is, scientific workflow, will greatly it facilitate
Scientist is to work on hand platform, the control of business event job order.Life is excavated by the event log that computer records
At scientific workflow have more authenticity, closer to, meet practical business event execution precedence.The height of its value exists
In on the one hand facilitating business structure teacher on the basis of original business model, operation flow is reconstructed, is optimized, on the other hand
Also contribute to by visualized graphs to the problem of being deposited in practical business stream, defect further optimized and perfect, to mention
The operational efficiency and quality of high entire Business Stream.
With the development of science and technology, the problem of studied in each sphere of learning scale increasingly increases.Large-scale scientific workflow
It is generally necessary to be executed in complicated Distributed Computer System, such as supercomputer, distributed cluster system and network
System etc..It generally requires to pay abnormal expensive cost however, constructing such system, these systems of application access are also required to multiple
The process of miscellaneous time-consuming.
Summary of the invention
The purpose of the present invention is to provide a kind of based on event directly preceding scientific workflow method for digging between the cloud of relationship,
This method is able to solve the scientific workflow Mining Problems under distributed cloud platform environment, has high efficiency, completeness and spirit
The feature of activity.
Realize the technical solution of the object of the invention are as follows: a kind of to dig based on event directly preceding scientific workflow between the cloud of relationship
Pick method is excavated by event log information across the scientific workflow under cloud platform, is with the event log that XES format describes
Input, using SVG between the cloud of format scientific workflow be output as a result, this method specifically includes the following steps:
Step 1, the event log described with XES format is inputted, parsing event log obtains event, generates corresponding event
Arrangement set obtains event directly preceding relationship according to sequence of events set, completes the excavation of cloud clinical practice workflow；
Step 2, after each cloud platform excavates the scientific workflow completed in respective cloud platform respectively, two-by-two between cloud platform
Message transmission is carried out simultaneously, completes the excavation tentatively across the scientific workflow between cloud；
Step 3, by the excavation across scientific workflow between cloud of step 2, to the overall science under entire cloud platform alliance
Workflow carries out reduction, merging and simplifies processing, obtains across the scientific workflow between cloud.
Compared with prior art, the present invention its remarkable advantage: (1) carrying out sub- scientific workflow under each cloud computing platform
Excavation when, under the local scale of Web logs of same size, mining effect of the invention is compared with Traditional Scientific Workflow mining method
It has a clear superiority, the work flow diagram dug out has more completeness, accuracy, reliability, closer to actual research-on-research
Stream process；(2) present invention also there is some superiority to pass through multiple clouds using cloud computing on the excavation time of scientific workflow
The technology that platform excavates simultaneously, the relatively excavation under single platform in the past, are greatly saved time cost, alleviate single platform data and dig
The burden of pick reduces a series of problems, such as issuable memory spilling, system crash are excavated under single platform.
Detailed description of the invention
Fig. 1 is that the present invention is based on events directly preceding scientific workflow method for digging flow chart between the cloud of relationship.
Fig. 2 is the mining process figure across scientific workflow between cloud.
Fig. 3 is the complete scarabaeidae work flow diagram under the single platform that Web log mining generates after the completion.
Fig. 4 (a) is the figure for the excavation that each cloud platform completes sub- scientific workflow under each cloud platform.
Fig. 4 (b) is the research-on-research flow graph that each cloud platform mutually sends message.
Fig. 4 (c) is research-on-research flow graph between the cloud completed based on event directly preceding the excavation of relationship.
Fig. 5 (a) is the research-on-research flow graph for not carrying out transmitting reduction operation.
Fig. 5 (b) is the research-on-research flow graph after carrying out transmitting reduction operation.
Specific embodiment
In conjunction with Fig. 1, it is of the invention it is a kind of based on event directly preceding scientific workflow method for digging between the cloud of relationship, pass through
Event log information, the event log excavated across the scientific workflow under cloud platform, with the description of XES format is input, is with SVG
Between the cloud of format scientific workflow be output as a result, this method specifically includes the following steps:
Step 1, the event log described with XES format is inputted, parsing event log obtains event, generates corresponding event
Arrangement set obtains event directly preceding relationship according to sequence of events set, completes the excavation of cloud clinical practice workflow；Specifically
Are as follows:
Step 1-1 completes the parsing of event log, converts corresponding sequence of events for the journal file that format is XES
Set, the sequence of events set refer to the sequence combination for the sequencing that event may occur in log；
Step 1-2 traverses sequence of events set, obtains event directly preceding relationship according to sequence of events set；Specific packet
It includes:
Step 1-2-1, any one sequence of events { a1a2a3a4……aN-1aNIt include N number of event, a1……aNRepresent thing
Part, this N number of event obtain the event of N-1 group directly preceding relationship: a according to the successive order of occurrence of event1→L a2、a2→L a3、
a3→L a4……aN-1→L aN；a1→L a2Expression event a1Order of occurrence is directly preceding event a2；
Step 1-2-2 traverses sequence of events set, obtains all possible event directly preceding relationship, deletes all heavy
Multiple event is directly preceding relationship；
Step 1-2-3 is deleted in obtained all set directly preceding relationship in step 1-2-2 and is existed concurrently
Relationship links event and generates the work of cloud clinical practice directly preceding relationship, and according to final remaining event directly preceding relationship
Stream.
Step 2, after each cloud platform excavates the scientific workflow completed in respective cloud platform respectively, two-by-two between cloud platform
Message transmission is carried out simultaneously, completes the excavation tentatively across the scientific workflow between cloud；
Step 3, by the excavation across scientific workflow between cloud of step 2, to the overall science under entire cloud platform alliance
Workflow carries out reduction, merging and simplifies processing, obtains across the scientific workflow between cloud.
Further, each cloud platform mutually sends message in step 2, the event mutual response under each difference cloud platforms,
The message transmission for completing scientific workflow between all clouds is responded by these, will each sub- cloud platform connection as one completely
Cloud platform alliance, complete the excavation of just scientific workflow between buyun.
Further, reduction, merging and simplification are carried out to the overall scientific workflow under entire cloud platform alliance in step 3
The detailed process of processing are as follows:
Between tentatively being merged across scientific workflow cloud, when, there are when a plurality of identical path, being deleted between two events
Except duplicate path, only retain a paths；
Transmitting reduction is carried out across scientific workflow cloud between preliminary after merging, i.e., reachability relation is not in guaranteeing a secondary figure
The path that redundancy is deleted in the case of change, obtains across the scientific workflow between cloud.
The present invention is further explained in the light of specific embodiments.
Embodiment
The present invention is based on events directly preceding scientific workflow method for digging between the cloud of relationship, is one flat based on cloud computing
Under platform, by the method for excavation of the event log progress across the scientific workflow between cloud, specific mining process is as shown in Figure 2.
Firstly, excavate in cloud according to local event log file under each cloud platform, local sub- scientific workflow is obtained,
Then, the sub- scientific workflow under each cloud platform carries out message transmission between any two, links the scarabaeidae work under each cloud platform
It flows, last cloud platform alliance further integrates, optimizes the total scientific workflow of generation, this process is referred to as across scientific between cloud
The excavation of workflow.
The present invention is based on events directly preceding scientific workflow method for digging between the cloud of relationship, is one dependent on event day
The method for digging of the precedence that event occurs in will, cross-platform scientific workflow.Firstly, each cloud platform is completed alone respectively
The excavation of sub- scientific workflow under platform, this process are also referred to as excavating in cloud.It is excavated in cloud and specifically includes parsing locally
Journal file, according in log the analysis acquisition event of sequence composed by the precedence that event occurs directly preceding pass
System constructs complete scarabaeidae work flow diagram directly preceding relationship according to event, this sequence is hereinafter referred to as Trace,
Trace item number is not unique；Then, it after each platform completes local scientific workflow excavation, that is, completes after being excavated in cloud, carries out
Across the excavation between cloud, message logging is mutually sent between each cloud platform, according to message logging, links the scarabaeidae of each cloud platform
Work flow diagram is learned, the response precedence across event each between cloud is further excavated；Finally, under entire cloud platform alliance
Overall scientific workflow arranged, merged, simplified, excavate and complete overall scientific workflow.
This method comprises:
Step 1, it is excavated in cloud: the parsing for completing local log, the precedence sequence occurred according to event in event log
Column acquisition event obtains complete local scarabaeidae work flow diagram directly preceding relationship, excavation, the specific steps are as follows:
Step 1.1, the parsing of local log is completed
Input is the local log file inputted with .XES, which stores the information of event log, including each
Time that event occurs, state etc..Event log is read to be successively read each event according to Trace entry in log, press
The event that sequence is read forms a Trace, and in an event log, it include a plurality of Trace, each Trace represents
The sequencing that multiple events may occur.The event ordering of any one Trace record is { a1a2a3a4……aN-1aN,
Middle a1……aNN number of different event is represented, according to the event ordering of this Trace, obtains N-1 event directly preceding relationship:
a1→L a2、a2→L a3、a3→L a4……aN-1→L aN, represent the event a in this Trace1Occur directly in event a2
Before, event a2Directly betide event a3Before, and so on, aN-1Occur directly in event aNBefore.
Step 1.2, traversal Trace set, each Trace obtain N-1 group event directly preceding relationship, delete these
Event leaves single, unduplicated event prior to composition of relations prior to combination duplicate in relationship.
Step 1.3, local, complete, comprehensive sub- scientific workflow is excavated.It is first according to event remaining in step 1.2
In composition of relations, it is understood that there may be ap→L aqAnd aq→L apSuch event is directly preceding composition of relations, ap≠aq, this representative
This event apIt is likely to occur in event aqBefore, it is also possible to occur in event aqLater, this also means that event apWith event aqIt deposits
In concurrency relation；The event present in step 1.2 with concurrency relation is deleted directly preceding composition of relations, and according to remaining
Event generates the scientific workflow in cloud directly preceding composition of relations.
In conjunction with example, specific operating procedure are as follows: assuming that reading a certain event log, which includes four Trace:
GABCDEF,AGBCDEF,ABGCDEF,ABCGDEF.According to each Trace in log obtain each event directly preceding pass
System: such as according to first Trace:GABCDEF, can obtain 6 groups directly preceding relationship have G to A (be reduced to G →L A)、A→L
B、B→L C、C→L D、D→L E、E→LF, analyze all four Trace, and remove redundancy directly preceding relationship, obtain
12 groups of event is directly preceding relationship: G →L A、A→L B、B→L C、C→L D、D→L E、E→L F、A→L G、G→L B、B
→L G、G→L C、C→L G、G→LD.It is worth noting that, this 12 groups event is directly preceding in relationship, containing similar G
→LA and A →LG is such, and directly preceding relationship, this two groups represent event G prior to relationship and can occur before event A,
And event A can occur before event G, such case shows event A and event G, and there are concurrency relations, so not being inconsistent
Conjunction event directly preceding relationship definition, so this 12 groups event directly preceding deleted in relationship concurrent relationship A →L G
With G →L A、B→LG and G →LB and C →LG and G →LC.So being finally obtained 6 groups of events directly preceding relationship: A
→L B、B→L C、C→L D、D→L E、E→L F、G→LD.Fig. 3 is generated directly preceding relation excavation according to 6 groups of events, i.e.,
Complete sub- scientific workflow under single platform.
Step 2, after each platform completes the locally excavation of sub- scientific workflow, message, root are mutually sent between each platform
According to message logging, link the scarabaeidae work flow diagram of each cloud platform, overall scientific workflow is first under completion cloud platform alliance
Step is excavated.
As shown in Fig. 4 (a), according to the local log under each cloud platform, cloud A has excavated sub- scientific workflow A, cloud B
Sub- scientific workflow B is excavated, cloud C has excavated sub- scientific workflow C.There is message day between each cloud platform two-by-two
Will can be cloud A and send message logging to cloud B, is also possible to cloud B and sends message logging to cloud A, such as the message day of cloud A to cloud B
Will include A →LH, the message logging of cloud B to cloud A include I →L D、I→LShown in E, specific manifestation such as Fig. 4 (b), dotted line in figure
Indicate the transmitting of message logging between each cloud platform.
Step 3, scientific workflow between the preliminary cloud excavated for step 2 is needed according to this method further to whole
Overall scientific workflow under a cloud platform alliance is arranged, is merged, is simplified.Scientific work between the cloud tentatively established in step 2
Make flow graph, be the scientific workflow of redundancy, be the scientific workflow there are transitive closure, is needed in the method to the science work
Transmitting reduction operation is carried out as stream, deletes the side of these redundancies.So-called transmitting reduction operation is exactly to pass through least side, guarantees one
Reachability relation is constant in width figure, and the side for these redundancies deleted, and does not influence between cloud the reachable of all events in scientific workflow
Relationship is finally reached the purpose of scientific workflow between simplified cloud, completes to excavate, and obtains scientific work between cloud that is complete, simplifying, optimize
It flows.
Exist after each cloud platform carries out message transmission two-by-two, in Fig. 4 (b) of generation be similar to I →L D、I→L E、D→LE
Figure is amplified to Fig. 5 (a) by the figure of this spline structure, and in scientific workflow, this there are the research-on-researches on the side of redundancy relationship
Stream, i.e., in the reachability relation of I to E, there are two kinds up to modes, and a kind of method is that I by D arrives E again, and another way is that I is straight
It is connected to E, in the method, this scientific workflow carries out the operation of transmitting reduction, the purpose of simplified workflow is had reached,
So obtaining Fig. 5 (b) into after crossing transmitting reduction to Fig. 5 (a).And total scientific workflow needs to complete the scientific workflow
Middle institute's some need carries out the operation of transmitting reduction, simplifies entire scientific workflow and does not lose its integrality and completeness.
Research-on-research flow graph must be excavated as shown in Fig. 4 (c) between being based ultimately upon the cloud directly preceding relationship, be one it is complete, across between cloud
, research-on-research flow graph that meet event reality dependence.
Claims (1)
1. it is a kind of based on event directly preceding scientific workflow method for digging between the cloud of relationship, which is characterized in that pass through event day
Will information, the event log excavated across the scientific workflow under cloud platform, with the description of XES format is input, using SVG as format
Between cloud scientific workflow be output as a result, this method specifically includes the following steps:
Step 1, the event log described with XES format is inputted, parsing event log obtains event, generates corresponding sequence of events
Set obtains event directly preceding relationship according to sequence of events set, completes the excavation of cloud clinical practice workflow；Specifically:
Step 1-1 completes the parsing of event log, converts corresponding sequence of events set for the journal file that format is XES,
The sequence of events set refers to the sequence combination for the sequencing that event may occur in log；
Step 1-2 traverses sequence of events set, obtains event directly preceding relationship according to sequence of events set；It specifically includes:
Step 1-2-1, any one sequence of events { a1a2a3a4……aN-1aNIt include N number of event, a1……aNEvent is represented, this
N number of event obtains the event of N-1 group directly preceding relationship: a according to the successive order of occurrence of event1→La2、a2→La3、a3→La4……aN-1→LaN；a1→La2Expression event a1Order of occurrence is directly preceding event a2；
Step 1-2-2 traverses sequence of events set, obtains all possible event directly preceding relationship, deletes all duplicate
Event is directly preceding relationship；
Step 1-2-3, there are concurrency relations for deletion in obtained all set directly preceding relationship in step 1-2-2
Link event directly preceding relationship directly preceding relationship, and according to final remaining event and generate cloud clinical practice workflow；
Step 2, after each cloud platform excavates the scientific workflow completed in respective cloud platform respectively, two-by-two between cloud platform simultaneously
Message transmission is carried out, the excavation tentatively across the scientific workflow between cloud is completed；Specifically:
Each cloud platform mutually sends message, and the event mutual response under each difference cloud platform completes research-on-research between all clouds
The message transmission of stream is responded by these, and each sub- cloud platform connection is become a complete cloud platform alliance, is completed preliminary
Excavation across the scientific workflow between cloud；
Step 3, by the preliminary excavation across the scientific workflow between cloud of step 2, to the overall section under entire cloud platform alliance
It learns workflow to carry out reduction, merging and simplify processing, obtain across the scientific workflow between cloud；Specifically:
Between tentatively being merged across scientific workflow cloud, when heavy there are deleting when a plurality of identical path between two events
Multiple path only retains a paths；
Transmitting reduction is carried out across scientific workflow cloud between preliminary after merging, the constant feelings of reachability relation in guaranteeing a secondary figure
The path that redundancy is deleted under condition, obtains across the scientific workflow between cloud.
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| CN108573043B (en) * | 2018-04-16 | 2022-05-17 | 南京理工大学 | Mining method for deadlock and lack of synchronization errors in business process |
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