Paper Info
Title
Elastic Multi-Tenant Business Process Based on Temporal Constraints
Abstract
Cloud computing has gained tremendous attention by provisioning resources and Multi-Tenant Business Process (MTBP) as a service. To dynamically support the workload demand variation, elasticity holds the promise of ensuring the Quality of Service (QoS) of the MTBP by providing the required involved service instances while keeping a low cost for the service providers. However, involved services invocation is constrained by hard timing constraints and the service provider is subject to pay penalty costs if services are not correctly executed. This problem is more complex when dealing with time-dependent elasticity mechanisms that can change according to the execution time. Unlike the static mechanism, which has been studied in the existing approaches, time-dependent elasticity mechanisms are insufficiently taken into consideration. In this paper, we propose a novel stochastic optimization approach considering the time-dependent of elastic MTBP. This approach aims at offering a method that assists service providers to find the optimal pricing strategy for involved services used by process under uncertain parameters. The implementation using a real workload shows the elasticity performance of the MTBP which is demonstrated by experimental results.
Year
DOI
Venue
2018
10.1109/WETICE.2018.00015
2018 IEEE 27th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
Keywords
Field
DocType
Business Process Management, Multi-tenancy, Temporal Properties, Elasticity
Business process management,Business process,Computer science,Workload,Quality of service,Multitenancy,Provisioning,Service provider,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
1524-4547
978-1-5386-6917-4
0
PageRank 
References 
Authors
0.34
4
3
Name
Order
Citations
PageRank
Wael Sellami1163.22
Hatem Hadj Kacem24714.43
Ahmed Hadj Kacem329564.22