TY - GEN
T1 - Real-time execution flow management for event-driven computational cloud storage
AU - Tsitsipas, Athanasios
AU - Kyriazis, Dimosthenis
AU - Themistocleous, Marinos
N1 - Publisher Copyright:
© 2014 European and Mediterranean Conference on Information Systems. All rights reserved.
PY - 2014
Y1 - 2014
N2 - Architectures designed in a decoupled event-based interaction style have many laudable characteristics, including heterogeneity, complexity, and ease of distribution over a network. It is not always efficient and accurate, however, to humanly grasp the dynamic behaviour of such applications, since many threads are active and events are asynchronously transmitted. With the growing complexity of industrial use case requirements, independent and isolated atomic application services cannot fulfil the demands anymore, raising the need for composite applications. Furthermore, these applications exploit big amounts of data in storage clouds. In this paper we present an approach for managing the execution of such composite applications in storage clouds at real-time. The approach is based on the identification of triggering conditions and actions amongst the atomic services of an application, which allows modelling of complex use cases and development of chains / graphs that capture the triggers and as a result the overall execution flow.
AB - Architectures designed in a decoupled event-based interaction style have many laudable characteristics, including heterogeneity, complexity, and ease of distribution over a network. It is not always efficient and accurate, however, to humanly grasp the dynamic behaviour of such applications, since many threads are active and events are asynchronously transmitted. With the growing complexity of industrial use case requirements, independent and isolated atomic application services cannot fulfil the demands anymore, raising the need for composite applications. Furthermore, these applications exploit big amounts of data in storage clouds. In this paper we present an approach for managing the execution of such composite applications in storage clouds at real-time. The approach is based on the identification of triggering conditions and actions amongst the atomic services of an application, which allows modelling of complex use cases and development of chains / graphs that capture the triggers and as a result the overall execution flow.
KW - Cloud storage
KW - Execution flow management
KW - Monitoring
KW - Real-time
UR - https://www.scopus.com/pages/publications/85084018545
M3 - Conference contribution
AN - SCOPUS:85084018545
T3 - Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2014
BT - Proceedings of the European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2014
A2 - Ghoneim, Ahmad
A2 - Themistocleous, Marinos
A2 - Viscusi, Gianluigi
A2 - Hindi, Nitham Mohammed
PB - European and Mediterranean Conference on Information Systems
T2 - 11th European, Mediterranean and Middle Eastern Conference on Information Systems: Big Data in the Era of Cloud Computing and Social Media, EMCIS 2014
Y2 - 27 October 2014 through 28 October 2014
ER -