Dynamic workflow adaptation over adaptive infrastructures
KES-AMSTA'11 Proceedings of the 5th KES international conference on Agent and multi-agent systems: technologies and applications
Enforcing QoS in scientific workflow systems enacted over Cloud infrastructures
Journal of Computer and System Sciences
End-to-End QoS on Shared Clouds for Highly Dynamic, Large-Scale Sensing Data Streams
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Revenue-Based resource management on shared clouds for heterogenous bursty data streams
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
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Interest in data streaming within scientific workflow has increased significantly over the recent years—mainly due to the emergence of data-driven applications. Such applications can include data streaming from sensors and data coupling between scientific simulations. To support resource management to enact such streaming-based workflow, autonomic computing techniques for transmission have been combined with in-transit processing, so that data elements may be processed in advance, enroute, prior to arrival at the destination. We propose the integration of an autonomic data streaming service (ADSS) with in-transit processing into a workflow specification. This integration may imply that the associated runtime resource allocation is dependent on environmental conditions and can change for different enactments of the same workflow. In our proposal, our workflow specifications are independent of the constraints imposed by the resource allocation. We express our solutions in terms of Reference nets. We also implement an ADSS utilizing a timed Reference net simulation for predicting future states of the ADSS. There are two advantages: the Reference net which implements the ADSS and the timed model are coincident, and second, token distribution obtained from the Petri net implementation can be utilized to better understand the demand for particular types of resources in the system. Copyright © 2011 John Wiley & Sons, Ltd.