CN106327153A - Over-cloud scientific workflow excavation method based on event direct prior relation - Google Patents
Over-cloud scientific workflow excavation method based on event direct prior relation Download PDFInfo
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Abstract
The invention discloses an over-cloud scientific workflow excavation method based on an even direct prior relation. An event log which is described in an XES format is used as an input, and a scientific workflow in an SVG format is used as an output result. The method comprises the steps of firstly, analyzing an XES file, generating a corresponding event sequence set, and finishing excavation of an in-cloud scientific workflow; then, finishing excavation of an over-cloud scientific workflow according to the information log of each cloud calculating platform; and finally, performing arranging, combining and simplifying on a total scientific workflow in a whole cloud platform league, thereby obtaining an over-cloud scientific workflow. The workflow graph excavated through the method has higher completeness, high accuracy and high reliability. The workflow graph more approaches an actual scientific workflow process. Furthermore compared with previous excavation in a single platform, the over-cloud scientific workflow excavation method has advantages of greatly reducing time cost and reducing data excavation load in the single platform.
Description
Technical field
The invention belongs to Data Mining, be specifically related to a kind of based on event directly preceding research-on-research between the cloud of relation
Stream method for digging.
Background technology
In recent years, during the concept of research-on-research flow management is applied to many enterprise information systems.It is similar to
The Workflow Management System of Staffware, IBM MQSeries, COSA etc. provides universal model and formulates structuring Business Stream
Ability.By the description to business event successively execution sequence of the patterned mode, depict industry the most directly perceived, intelligible
Business life cycle model, the most so-called research-on-research flow model, business affair is carried out management fortune highly efficient, rational
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 the academic research of high-energy physics, bioinformatics, atmospheric science etc., these research process contain the data analysis of magnanimity
With process step, scientist needs by high-level instrument, by problem abstract, builds Business Stream reasonable in design, efficient
Journey, to solve complicated, loaded down with trivial details high-level problem.And scientific workflow provides such environment, by data management, divide
Analysis, emulation and visual be combined with each other, to assist the process of scientific discovery.
Daily record, as the important component part of computer network security, record computer each run event date,
The associative operations such as time, user, action.Event log, as information treasure-house, contains infinite value.By to event day
The analysis and research of will, and obtain the structuring Business Stream of whole project or platform, namely scientific workflow, will greatly facilitate
Scientist is to work on hand platform, a control of business event job order.Life is excavated by the event log of computer recording
Become scientific workflow have more verity, closer to, meet practical business event perform 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, optimizes, on the other hand
Also contribute to further be optimized and perfect by the visualized graphs problem to depositing in practical business stream, defect, to carry
The operational efficiency of high whole Business Stream and quality.
Along with the development of science and technology, the problem scale studied in each sphere of learning increases day by day.Large-scale scientific workflow
Typically require and perform in complicated Distributed Computer System, such as supercomputer, distributed cluster system and network
System etc..But, constructing such system and generally require and pay the most expensive abnormal cost, application accesses these systems and is also required to multiple
Miscellaneous time-consuming process.
Summary of the invention
It is an object of the invention to provide a kind of based on event directly preceding scientific workflow method for digging between the cloud of relation,
The method can solve the problem that the scientific workflow Mining Problems under distributed cloud platform environment, has high efficiency, completeness and spirit
The feature of activity.
The technical scheme realizing the object of the invention is: a kind of dig directly preceding scientific workflow between the cloud of relation based on event
Pick method, by event log information, excavates the scientific workflow under cloud platform, with the event log that XES form describes is
Input, between the cloud with SVG as form, scientific workflow is output result, and the method specifically includes following steps:
Step 1, inputs the event log described with XES form, resolves event log and obtains event, generates corresponding event
Arrangement set, according to sequence of events set acquisition event directly preceding relation, completes the excavation of cloud internal medicine workflow；
Step 2, after each cloud platform has excavated the scientific workflow in respective cloud platform respectively, two-by-two between cloud platform
Carry out message transmission simultaneously, complete the excavation of preliminary scientific workflow across between cloud；
Step 3, by the excavation of scientific workflow across between cloud of step 2, to the overall science under whole cloud platform alliance
Workflow carries out reduction, merges and simplification process, obtains the scientific workflow across between cloud.
The present invention compared with prior art, its remarkable advantage: (1) carries out sub-scientific workflow under each cloud computing platform
Excavation time, under the local scale of Web logs of equal size, the mining effect of the present invention relatively Traditional Scientific Workflow mining method
Having clear superiority, its work flow diagram dug out has more completeness, accuracy, reliability, closer to actual research-on-research
Flow through journey；(2) present invention also has some superiority on the excavation time of scientific workflow, uses cloud computing, by multiple clouds
The technology that platform excavates simultaneously, the excavation under single platform, was greatly saved time cost relatively in the past, alleviates single platform data and digs
The burden of pick, decreases and excavates the series of problems such as issuable internal memory spilling, system crash under single platform.
Accompanying drawing explanation
Fig. 1 be the present invention based on event directly preceding scientific workflow method for digging flow chart between the cloud of relation.
Fig. 2 is the mining process figure of scientific workflow across between cloud.
Fig. 3 is the complete scarabaeidae work flow diagram under the single platform generated after Web log mining completes.
Fig. 4 (a) is the figure that each cloud platform all completes the excavation of the 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 directly preceding the excavation of relation based on event.
Fig. 5 (a) is the research-on-research flow graph not carrying out transmitting reduction operation.
Fig. 5 (b) is by the research-on-research flow graph after transmitting reduction operation.
Detailed description of the invention
In conjunction with Fig. 1, the present invention a kind of, passes through directly preceding scientific workflow method for digging between the cloud of relation based on event
Event log information, excavates the scientific workflow under cloud platform, with the event log of XES form description for input, with SVG is
Between the cloud of form, scientific workflow is output result, and the method specifically includes following steps:
Step 1, inputs the event log described with XES form, resolves event log and obtains event, generates corresponding event
Arrangement set, according to sequence of events set acquisition event directly preceding relation, completes the excavation of cloud internal medicine workflow；Specifically
For:
Step 1-1, completes the parsing of event log, and the journal file that form is XES is converted into the sequence of events of correspondence
Set, described sequence of events set refers to the sequence combination of the contingent sequencing of event in daily record；
Step 1-2, travels through sequence of events set, obtains event directly preceding relation according to sequence of events set；Concrete bag
Include:
Step 1-2-1, any one sequence of events { a1a2a3a4……aN-1aNComprise N number of event, a1……aNRepresent thing
Part, this N number of event is according to event successively order of occurrence, it is thus achieved that the event of N-1 group is directly preceding relation: a1→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, travels through sequence of events set, it is thus achieved that all possible event, directly preceding relation, is deleted all heavy
Multiple event is directly preceding relation；
Step 1-2-3, in step 1-2-2 obtained by all of directly preceding the set of relation is deleted exist concurrent
Relation directly preceding relation, and according to final remaining event directly preceding relation, link event and generate the work of cloud internal medicine
Stream.
Step 2, after each cloud platform has excavated the scientific workflow in respective cloud platform respectively, two-by-two between cloud platform
Carry out message transmission simultaneously, complete the excavation of preliminary scientific workflow across between cloud；
Step 3, by the excavation of scientific workflow across between cloud of step 2, to the overall science under whole cloud platform alliance
Workflow carries out reduction, merges and simplification process, obtains the scientific workflow across between cloud.
Further, in step 2, each cloud platform mutually sends message, the event mutual response under each different cloud platforms,
Completing the message transmission of scientific workflow between all clouds, responded by these, each sub-cloud platform being linked becomes one completely
Cloud platform alliance, complete the excavation of scientific workflow between first buyun.
Further, step 3 carries out reduction to the overall scientific workflow under whole cloud platform alliance, merges and simplify
The detailed process processed is:
To preliminary across between cloud scientific workflow merge, when there is a plurality of identical path between two events, delete
Except the path repeated, only retain a paths；
Preliminary after being combined scientific workflow across between cloud carries out transmitting reduction, and i.e. in ensureing a secondary figure, reachability relation is not
Delete the path of redundancy in the case of change, obtain the scientific workflow across between cloud.
Below in conjunction with specific embodiment, the invention will be further described.
Embodiment
The present invention directly preceding scientific workflow method for digging between the cloud of relation based on event, is one and puts down based on cloud computing
Under platform, the method being carried out the excavation of scientific workflow across between cloud by event log, concrete mining process is as shown in Figure 2.
First, excavate according under each cloud platform, local event log file carries out cloud, it is thus achieved that local sub-scientific workflow,
Then, the sub-scientific workflow under each cloud platform carries out message transmission between any two, links the scarabaeidae work under each cloud platform
Flowing, last cloud platform alliance integrates further, optimizes the scientific workflow that generation is total, and this process is referred to as science across between cloud
The excavation of workflow.
The present invention directly preceding scientific workflow method for digging between the cloud of relation based on event, is one and depends on event day
The method for digging of the precedence that in will, event occurs, cross-platform scientific workflow.First, each cloud platform completes alone respectively
The excavation of the sub-scientific workflow under platform, this process is excavated in being also referred to as cloud.Excavate in cloud and specifically include parsing this locality
Journal file, according in daily record the sequence analysis that formed of the precedence that event occurs obtain event directly preceding pass
System, builds complete scarabaeidae work flow diagram according to event directly preceding relation, and this sequence is hereinafter referred to as Trace,
Trace bar number is the most unique；Then, after each platform completes local scientific workflow excavation, after excavating in namely completing cloud, carry out
Excavation across between cloud, mutually sends message logging between each cloud platform, according to message logging, link the scarabaeidae of each cloud platform
Learn work flow diagram, excavate the response precedence of each event across between cloud further；Finally, under whole cloud platform alliance
Overall scientific workflow carry out arranging, merge, simplify, excavated overall scientific workflow.
The method includes:
Step 1, excavates in cloud: complete the parsing of local daily record, according to the precedence sequence of event generation in event log
Row acquisition event obtains complete local scarabaeidae work flow diagram directly preceding relation, excavation, specifically comprises the following steps that
Step 1.1, completes the parsing of local daily record
Inputting the local log file being input with .XES, this XES file stores the information of event log, including each
The time of event generation, state etc..Read event log, according to Trace entry in daily record, be successively read each event, press
Event one Trace of composition that sequence reads, and in an event log, comprise a plurality of Trace, each Trace and represent
The contingent sequencing of multiple events.The event ordering of any one Trace record is { a1a2a3a4……aN-1aN, its
Middle a1……aNRepresent N number of different event, according to the event ordering of this Trace, it is thus achieved that N-1 event is directly preceding relation:
a1→L a2、a2→L a3、a3→L a4……aN-1→L aN, represent in this Trace, event a1Occur directly in event a2
Before, event a2Directly betide event a3Before, by that analogy, aN-1Occur directly in event aNBefore.
Step 1.2, traversal Trace set, each Trace obtains N-1 group event directly preceding relation, deletes these
Event, prior to the combination repeated in relation, stays event single, unduplicated prior to composition of relations.
Step 1.3, excavates this locality, sub-scientific workflow complete, comprehensive.According to remaining event in step 1.2 first
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 represents
This event apIt is likely to occur in event aqBefore, it is also possible to occur in event aqAfterwards, this also means that event apWith event aqDeposit
In concurrency relation；There is the event of concurrency relation directly preceding composition of relations present in delete step 1.2, and according to remaining
Event, directly preceding composition of relations, generates the scientific workflow in cloud.
In conjunction with example, concrete operating procedure is: assuming to read a certain event log, this daily record comprises four Trace:
GABCDEF、AGBCDEF、ABGCDEF、ABCGDEF.According to each Trace in daily record obtain each event directly preceding pass
System: as according to Article 1 Trace:GABCDEF, it is possible to obtain 6 groups directly preceding relation have G to A (be reduced to G →L A)、A→L
B、B→L C、C→L D、D→L E、E→LF, analyzes whole four Trace, and remove redundancy directly preceding relation, obtain
The event of 12 groups is directly preceding relation: 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 should be noted that this event of 12 groups, directly preceding in relation, contains similar G
→LA and A →LG is such directly preceding relation, and these two groups represent event G prior to relation and can occur before event A,
And event A can occur before event G, this information slip understands that event A and event G exist concurrency relation, so not being inconsistent
Conjunction event directly preceding the definition of relation, so delete in this event of 12 groups is directly preceding relation concurrent relation 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 relation: 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, i.e. according to 6 groups of events
Complete sub-scientific workflow under single platform.
Step 2, after each platform all completes the excavation of local sub-scientific workflow, mutually sends message, root between each platform
According to message logging, link the scarabaeidae work flow diagram of each cloud platform, complete under cloud platform alliance at the beginning of overall scientific workflow
Step is excavated.
As shown in Fig. 4 (a), according to the local daily record under each cloud platform, cloud A has excavated sub-scientific workflow A, cloud B
Having excavated sub-scientific workflow B, cloud C has excavated sub-scientific workflow C.Message day is there is two-by-two between each cloud platform
Will, can be that cloud A sends message logging to cloud B, it is also possible to be cloud B transmission message logging to cloud A, such as the message day of cloud A to cloud B
Will include A →LH, cloud B to the message logging of cloud A include I →L D、I→LShown in E, concrete manifestation such as Fig. 4 (b), dotted line in figure
Represent the transmission of message logging between each cloud platform.
Step 3, for scientific workflow between the preliminary cloud that step 2 is excavated, needs further to whole according to this method
Overall scientific workflow under individual cloud platform alliance carries out arranging, merges, simplifies.Science work between the preliminary cloud set up in step 2
Make flow graph, be the scientific workflow of redundancy, be the scientific workflow that there is transitive closure, need in the method this science work
Carry out transmitting reduction operation as stream, delete the limit of these redundancies.So-called transmission reduction operation is through minimum limit, it is ensured that one
In width figure, reachability relation is constant, and the limit of these redundancies deleted, do not affect between cloud all events in scientific workflow up to
Relation, is finally reached and simplifies the purpose of scientific workflow between cloud, completes to excavate, it is thus achieved that complete, simplify, science work between the cloud that optimizes
Flow.
After each cloud platform carries out message transmission two-by-two, Fig. 4 (b) of generation exists be similar to I →L D、I→L E、D→LE
The figure of this spline structure, is amplified to Fig. 5 (a) by figure, in scientific workflow, and the research-on-research on this limit that there is redundancy relationship
Stream, i.e. in the reachability relation of I to E, exist two kinds up to mode, a kind of method is that I passes through D and arrives E again, and another way is that I is straight
Receiving E, in the method, this scientific workflow needs the operation carrying out transmitting reduction, reaches to simplify the purpose of workflow,
So after Fig. 5 (a) was entered transmission reduction, it is thus achieved that Fig. 5 (b).And total scientific workflow has needed this scientific workflow
In all of needs carry out transmit reduction operation, make whole scientific workflow simplify and don't lose its integrity and completeness.
Be based ultimately upon and must excavate as shown in Fig. 4 (c) directly preceding research-on-research flow graph between the cloud of relation, be one complete, across between cloud
, the research-on-research flow graph meeting event reality dependence.
Claims (4)
1. one kind based on event directly preceding scientific workflow method for digging between the cloud of relation, it is characterised in that by event day
Will information, excavates the scientific workflow under cloud platform, with the event log of XES form description for input, with SVG as form
Between cloud, scientific workflow is output result, and the method specifically includes following steps:
Step 1, inputs the event log described with XES form, resolves event log and obtains event, generates corresponding sequence of events
Set, according to sequence of events set acquisition event directly preceding relation, completes the excavation of cloud internal medicine workflow；
Step 2, after each cloud platform has excavated the scientific workflow in respective cloud platform respectively, two-by-two between cloud platform simultaneously
Carry out message transmission, complete the excavation of preliminary scientific workflow across between cloud；
Step 3, by the excavation of scientific workflow across between cloud of step 2, to the overall research-on-research under whole cloud platform alliance
Stream carries out reduction, merges and simplification process, obtains the scientific workflow across between cloud.
The most according to claim 1 based on event directly preceding scientific workflow method for digging between the cloud of relation, its feature
Be, step 1 particularly as follows:
Step 1-1, completes the parsing of event log, and the journal file that form is XES is converted into the sequence of events set of correspondence,
Described sequence of events set refers to the sequence combination of the contingent sequencing of event in daily record；
Step 1-2, travels through sequence of events set, obtains event directly preceding relation according to sequence of events set；Specifically include:
Step 1-2-1, any one sequence of events { a1a2a3a4……aN-1aNComprise N number of event, a1……aNRepresent event, this
N number of event is according to event successively order of occurrence, it is thus achieved that the event of N-1 group is directly preceding relation: a1→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, travels through sequence of events set, it is thus achieved that all possible event, directly preceding relation, deletes all repetitions
Event is directly preceding relation；
Step 1-2-3, in step 1-2-2 obtained by all of directly preceding in the set of relation delete there is concurrency relation
Directly preceding relation, and according to final remaining event directly preceding relation, link event and generate cloud internal medicine workflow.
The most according to claim 1 based on event directly preceding scientific workflow method for digging between the cloud of relation, its feature
Being, in step 2, each cloud platform mutually sends message, the event mutual response under each different cloud platforms, completes between all clouds
The message transmission of scientific workflow, is responded by these, and each sub-cloud platform being linked becomes a complete cloud platform alliance,
Complete the excavation of scientific workflow between first buyun.
The most according to claim 1 based on event directly preceding scientific workflow method for digging between the cloud of relation, its feature
It is, step 3 carries out reduction to the overall scientific workflow under whole cloud platform alliance, merges and the concrete mistake of simplification process
Cheng Wei:
To preliminary across between cloud scientific workflow merge, when there is a plurality of identical path between two events, delete weight
Multiple path, only retains a paths；
Preliminary after being combined scientific workflow across between cloud carries out transmitting reduction, the constant situation of reachability relation in ensureing a secondary figure
The path of lower deletion redundancy, obtains the scientific workflow across between cloud.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108647220B (en) * | 2018-03-19 | 2022-04-08 | 南京理工大学 | Scientific workflow mining method based on event indirect prior relationship |
| CN108573043A (en) * | 2018-04-16 | 2018-09-25 | 南京理工大学 | Business procedure deadlock and the method for digging for lacking timing error |
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| CN109271606A (en) * | 2018-08-23 | 2019-01-25 | 南京理工大学 | Consider the method for solving of editing distance between concurrent business procedure sequence of events |
| CN109271606B (en) * | 2018-08-23 | 2023-05-26 | 南京理工大学 | Solving method for editing distance between event sequences in concurrent business process |
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