TY  - JOUR
A1  - Pufahl, Luise
A1  - Weske, Mathias
T1  - Batch activity: enhancing business process modeling and enactment with batch processing
JF  - Computing
N2  - Organizations strive for efficiency in their business processes by process improvement and automation. Business process management (BPM) supports these efforts by capturing business processes in process models serving as blueprint for a number of process instances. In BPM, process instances are typically considered running independently of each other. However, batch processing-the collectively execution of several instances at specific process activities-is a common phenomenon in operational processes to reduce cost or time. Currently, batch processing is organized manually or hard-coded in software. For allowing stakeholders to explicitly represent their batch configurations in process models and their automatic execution, this paper provides a concept for batch activities and describes the corresponding execution semantics. The batch activity concept is evaluated in a two-step approach: a prototypical implementation in an existing BPM System proves its feasibility. Additionally, batch activities are applied to different use cases in a simulated environment. Its application implies cost-savings when a suitable batch configuration is selected. The batch activity concept contributes to practice by allowing the specification of batch work in process models and their automatic execution, and to research by extending the existing process modeling concepts.
KW  - Batch activity
KW  - Batch processing
KW  - Business process models
KW  - Process Enactment
KW  - Colored Petri Net
Y1  - 2019
U6  - https://doi.org/10.1007/s00607-019-00717-4
SN  - 0010-485X
SN  - 1436-5057
VL  - 101
IS  - 12
SP  - 1909
EP  - 1933
PB  - Springer
CY  - Wien
ER  - 
TY  - JOUR
A1  - Troeger, Peter
A1  - Merzky, Andre
T1  - Towards standardized job submission and control in infrastructure clouds
JF  - Journal of grid computing
N2  - The submission and management of computational jobs is a traditional part of utility computing environments. End users and developers of domain-specific software abstractions often have to deal with the heterogeneity of such batch processing systems. This lead to a number of application programming interface and job description standards in the past, which are implemented and established for cluster and Grid systems. With the recent rise of cloud computing as new utility computing paradigm, the standardized access to batch processing facilities operated on cloud resources becomes an important issue. Furthermore, the design of such a standard has to consider a tradeoff between feature completeness and the achievable level of interoperability. The article discusses this general challenge, and presents some existing standards with traditional cluster and Grid computing background that may be applicable to cloud environments. We present OCCI-DRMAA as one approach for standardized access to batch processing facilities hosted in a cloud.
KW  - Cloud
KW  - IaaS
KW  - DRMS
KW  - DRMAA
KW  - OCCI
KW  - Batch processing
KW  - Job submission
KW  - Job monitoring
Y1  - 2014
U6  - https://doi.org/10.1007/s10723-013-9275-2
SN  - 1570-7873
SN  - 1572-9184
VL  - 12
IS  - 1
SP  - 111
EP  - 125
PB  - Springer
CY  - Dordrecht
ER  -