HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows
This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream script...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Balis, Bartosz [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Umfang: |
16 |
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| Übergeordnetes Werk: |
Enthalten in: Surgeon-patient matching based on pairwise comparisons information for elective surgery - Jiang, Yan-Ping ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:55 ; year:2016 ; pages:147-162 ; extent:16 |
| Links: |
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| DOI / URN: |
10.1016/j.future.2015.08.015 |
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| 520 | |a This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. | ||
| 520 | |a This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. | ||
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| 650 | 7 | |a Process networks |2 Elsevier | |
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10.1016/j.future.2015.08.015 doi GBVA2016004000022.pica (DE-627)ELV019112645 (ELSEVIER)S0167-739X(15)00277-0 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Balis, Bartosz verfasserin aut HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. Workflow enactment Elsevier Scientific workflows Elsevier Workflow programming Elsevier Workflow patterns Elsevier Process networks Elsevier Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:55 year:2016 pages:147-162 extent:16 https://doi.org/10.1016/j.future.2015.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 55 2016 147-162 16 045F 004 |
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10.1016/j.future.2015.08.015 doi GBVA2016004000022.pica (DE-627)ELV019112645 (ELSEVIER)S0167-739X(15)00277-0 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Balis, Bartosz verfasserin aut HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. Workflow enactment Elsevier Scientific workflows Elsevier Workflow programming Elsevier Workflow patterns Elsevier Process networks Elsevier Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:55 year:2016 pages:147-162 extent:16 https://doi.org/10.1016/j.future.2015.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 55 2016 147-162 16 045F 004 |
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10.1016/j.future.2015.08.015 doi GBVA2016004000022.pica (DE-627)ELV019112645 (ELSEVIER)S0167-739X(15)00277-0 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Balis, Bartosz verfasserin aut HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. Workflow enactment Elsevier Scientific workflows Elsevier Workflow programming Elsevier Workflow patterns Elsevier Process networks Elsevier Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:55 year:2016 pages:147-162 extent:16 https://doi.org/10.1016/j.future.2015.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 55 2016 147-162 16 045F 004 |
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10.1016/j.future.2015.08.015 doi GBVA2016004000022.pica (DE-627)ELV019112645 (ELSEVIER)S0167-739X(15)00277-0 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Balis, Bartosz verfasserin aut HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. Workflow enactment Elsevier Scientific workflows Elsevier Workflow programming Elsevier Workflow patterns Elsevier Process networks Elsevier Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:55 year:2016 pages:147-162 extent:16 https://doi.org/10.1016/j.future.2015.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 55 2016 147-162 16 045F 004 |
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10.1016/j.future.2015.08.015 doi GBVA2016004000022.pica (DE-627)ELV019112645 (ELSEVIER)S0167-739X(15)00277-0 DE-627 ger DE-627 rakwb eng 004 004 DE-600 004 VZ 85.35 bkl 54.80 bkl Balis, Bartosz verfasserin aut HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows 2016transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. Workflow enactment Elsevier Scientific workflows Elsevier Workflow programming Elsevier Workflow patterns Elsevier Process networks Elsevier Enthalten in Elsevier Science Jiang, Yan-Ping ELSEVIER Surgeon-patient matching based on pairwise comparisons information for elective surgery 2020 Amsterdam [u.a.] (DE-627)ELV004280385 volume:55 year:2016 pages:147-162 extent:16 https://doi.org/10.1016/j.future.2015.08.015 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 85.35 Fertigung VZ 54.80 Angewandte Informatik VZ AR 55 2016 147-162 16 045F 004 |
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The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. 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HyperFlow: A model of computation, programming approach and enactment engine for complex distributed workflows |
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This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. |
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This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. |
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This paper presents HyperFlow: a model of computation, programming approach and enactment engine for scientific workflows. Workflow programming in HyperFlow combines a simple declarative description of the workflow structure with low-level implementation of workflow activities in a mainstream scripting language. The aim of this approach is to increase the programming productivity of workflow developers who are skilled programmers and desire a programming experience similar to the one offered by a mature programming ecosystem. Combining a declarative description with low-level programming enables elimination of shim nodes from the workflow graph, considerably simplifying workflow implementations. The workflow description is based on a formal model of computation (Process Networks) and is characterized by a simple and concise syntax, utilizing just three key abstractions—processes, signals and functions. Yet it is sufficient for expressing complex workflow patterns in a simple way. The adopted model of computation implemented in the HyperFlow workflow engine enables fully distributed and decentralized workflow enactment. The paper describes HyperFlow from the perspective of its workflow programming capabilities, the adopted model of computation, as well as the enactment engine, in particular its distributed workflow enactment capability. The provenance model and logging features are also presented. Several workflow examples derived from other workflow systems and reimplemented in HyperFlow are extensively discussed. |
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