Research challenges on service technology foundations

This work gives an overview of the future research challenges on enabling technologies for service-based applications that have been identified in the network of excellence S-Cube. Service-based applications comprise three layers: business processes, service compositions and services and service infrastructures. The goal of this work is to present a roadmap for future research in technologies for software and system services.

[1]  Christos Nikolaou,et al.  Estimating value in service systems: A case study of a repair service system , 2008, IBM Syst. J..

[2]  Jorge A. Navas,et al.  User-Definable Resource Bounds Analysis for Logic Programs , 2007, ICLP.

[3]  Cesare Pautasso,et al.  An Architectural Style for Liquid Web Services , 2011, 2011 Ninth Working IEEE/IFIP Conference on Software Architecture.

[4]  Dragan Ivanovic,et al.  An Initial Proposal for Data-Aware Resource Analysis of Orchestrations with Applications to Predictive Monitoring , 2009, ICSOC/ServiceWave Workshops.

[5]  Frank Leymann,et al.  An Architecture for Managing the Lifecycle of Business Goals for Partners in a Service Network , 2008, ServiceWave.

[6]  Andreas Metzger,et al.  Research challenges on engineering service-oriented applications , 2012, 2012 First International Workshop on European Software Services and Systems Research - Results and Challenges (S-Cube).

[7]  Annapaola Marconi,et al.  Multi-layered Monitoring and Adaptation , 2011, ICSOC.

[8]  Dragan Ivanovic,et al.  Automatic Fragment Identification in Workflows Based on Sharing Analysis , 2010, ICSOC.

[9]  Annapaola Marconi,et al.  Research challenges on online service quality prediction for proactive adaptation , 2012, 2012 First International Workshop on European Software Services and Systems Research - Results and Challenges (S-Cube).

[10]  Mathias Weske,et al.  Modeling Service Choreographies Using BPMN and BPEL4Chor , 2008, CAiSE.

[11]  Annapaola Marconi,et al.  Research challenges on adaptive software and services in the future internet: towards an S-Cube research roadmap , 2012, 2012 First International Workshop on European Software Services and Systems Research - Results and Challenges (S-Cube).

[12]  Grzegorz Rozenberg,et al.  The many facets of natural computing , 2008, Commun. ACM.

[13]  Pascal Fradet,et al.  Principles of Chemical Programming , 2004, RULE@RDP.

[14]  Annapaola Marconi,et al.  Preventing KPI Violations in Business Processes based on Decision Tree Learning and Proactive Runtime Adaptation , 2012 .

[15]  Dragan Ivanovic,et al.  Towards Data-Aware QoS-driven Adaptation for Service Orchestrations , 2010, 2010 IEEE International Conference on Web Services.

[16]  Dragan Ivanovic,et al.  Automated Attribute Inference in Complex Service Workflows Based on Sharing Analysis , 2011, 2011 IEEE International Conference on Services Computing.

[17]  Franco Zambonelli,et al.  A biochemical approach to adaptive service ecosystems , 2010, Inf. Sci..

[18]  Frank Leymann,et al.  An Architecture and Methodology for a Four-Phased Approach to Green Business Process Reengineering , 2011, ICT-GLOW.

[19]  Sebastian Wagner,et al.  State propagation-based monitoring of business transactions , 2012, 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA).

[20]  Mike P. Papazoglou,et al.  Toward Business Transaction Management in Smart Service Networks , 2010, IEEE Internet Computing.

[21]  Frank Leymann,et al.  Service Networks Modelling: An SOA & BPM Standpoint , 2010, J. Univers. Comput. Sci..

[22]  Zsolt Németh,et al.  Using chemical reactions to model service composition , 2010, SOAR '10.