Paper Info
Title
QoS-Driven Management of Business Process Variants in Cloud Based Execution Environments.
Abstract
Economy of scale is a key driver behind the Cloud based adoption of a business process. Typically, the management of business process variants focuses on design variants, which permit (ideally small) variations in design (and hence, functionality) for achieving the same (functional) goal, under different functional constraints (such as the compliance obligations that have to be met in different jurisdictions). Little attention has been paid to: (a) variations in process design driven by non-functional considerations (e.g., performance, reliability and cost of operation) and (b) variations in process provisioning in Cloud. This paper seeks to develop means for identifying the correlation between both design and provisioning alternatives and the QoS of business processes deployed in the Cloud. Additionally, we explore the role of the context in determining the performance of a process. We use a set of data mining techniques (specifically decision tree learning, support vector machine and the k-nearest neighbour technique) to mine insights about these correlations. Proposed approaches are evaluated using a synthetic dataset as well as a real dataset.
Year
DOI
Venue
2016
10.1007/978-3-319-46295-0_4
Lecture Notes in Computer Science
Keywords
Field
DocType
Cloud,Process adaptation,Resource,QoS,Context
Business process management,Cost of operation,Business process,Computer science,Work in process,Quality of service,Real-time computing,Provisioning,Decision tree learning,Cloud computing,Distributed computing
Conference
Volume
ISSN
Citations 
9936
0302-9743
1
PageRank 
References 
Authors
0.35
14
5
Name
Order
Citations
PageRank
Rahul Ghosh181.55
Aditya K. Ghose2998102.78
Aditya Hegde341.42
Tridib Mukherjee442831.57
Adrian Mos512912.78