A Probabilistic Batch Oriented Proactive Workflow Management

Oikonomou, Panagiotis1; Kolomvatsos, Kostas1; Anagnostopoulos, Christos2; Tziritas, Nikos1; Theodoropoulos, Georgios3

10.1109/ICTAI52525.2021.00197

2021

IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)

1082-3409

978-1-6654-0899-8

2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021)

2021-November

1242-1246

NOV 01-03, 2021

null,null,ELECTR NETWORK

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA

IEEE COMPUTER SOC

Workflow management is a widely studied research subject due to its criticality for the efficient execution of various processing activities towards concluding innovative applications. The ultimate goal is to eliminate the required time for delivering the final outcome considering the dependencies between workflow's tasks. In this paper, we enhance the decision making of a scheduler with a batch oriented approach to deal with multiple workflows. A probabilistic data oriented approach combined with an infrastructure oriented scheme is provided to pay attention on dynamic environments where the underlying data are continuously updated trying to minimize the network overhead for migrating data. Workflows are mapped to the available datasets according to their data requirements, then, we combine the outcome with an optimization model upon the time and cost requirements of every placement. The performance of our model is revealed by a high number of experiments depicting the advantages in the network overhead.

workflows management tasks scheduling decision making probabilistic model distributed processing

其他

英语

CPCI-S ; EI

Computer Science

Computer Science, Artificial Intelligence

WOS:000747482300189

20220611591765

Scheduling ; Work simplification

Industrial Engineering:912.1 ; Management:912.2

Web of Science

1.Univ Thessaly, Comp Sci & Telecommun, Lamia, Greece
2.Univ Glasgow, Sch Comp Sci, Glasgow, Lanark, Scotland
3.Southern Univ Sci & Technol, Comp Sci & Engn, Shenzhen, Peoples R China

Oikonomou, Panagiotis,Kolomvatsos, Kostas,Anagnostopoulos, Christos,et al. A Probabilistic Batch Oriented Proactive Workflow Management[C]. 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1264 USA:IEEE COMPUTER SOC,2021:1242-1246.