@inproceedings {lisa:wsrest2014,
	title = {A RESTful API for Controlling Dynamic Streaming Topologies},
	year = {2014},
	month = {April},
	address = {Seoul, Korea},
	abstract = {Streaming applications have become more and more dynamic and heterogeneous thanks to new technologies which enable platforms like microcontrollers and Web browsers to be able to host part of a streaming topology. 
A dynamic heterogeneous streaming application should support load balancing and fault tolerance while being capable of adapting and rearranging topologies to user needs at runtime. 
In this paper we present a REST API to control dynamic heterogeneous streaming applications. By means of resources, their uniform interface and hypermedia we show how it is possible to monitor, change and adapt the deployment configuration of a streaming topology at runtime.},
	keywords = {REST, streaming},
	author = {Masiar Babazadeh and Cesare Pautasso}
}
@conference {lisa:wicsa2014,
	title = {The Stream Software Connector Design Space: Frameworks and Languages for Distributed Stream Processing},
	booktitle = {11th Working IEEE/IFIP Conference on Software Architecture (WICSA 2014)},
	year = {2014},
	month = {April},
	address = {Sydney, Australia},
	abstract = {In recent years we witnessed the rise of applications in which data is continuously generated and pushed towards consumers in real time through complex processing pipelines. Software connectors like remote procedure call (RPC) do not fit with the needs of such applications, for which the publish/subscribe and the stream connectors are more suitable. 
This paper introduces the design space of the stream software connector by analyzing recent stream processing engine frameworks and domain specific languages featuring native streaming support. On the one side, we want to classify and compare streaming systems based on a taxonomy derived from the wide range of features they offer (i.e., pipeline dynamicity and representation, load balancing and deployment flexibility).
On the other side, the gaps in the design space we identify point at future research directions in the area of distributed stream processing. 
To do so, we gather valuable architectural knowledge in terms of architectural issues and alternatives, elicited by surveying the most important architectural decisions made by the designers of several representative streaming framework architectures.},
	keywords = {design space, software connector, streaming, survey},
	author = {Masiar Babazadeh and Cesare Pautasso}
}
@inproceedings {jopera:mashups07,
	title = {Let it flow: Building Mashups with Data Processing Pipelines},
	volume = {4907},
	year = {2007},
	month = {September},
	pages = {15-28},
	publisher = {Springer},
	address = {Vienna, Austria},
	abstract = {Mashups are a new kind of interactive Web application, built out of the composition of two or more existing Web service APIs and data sources. Whereas "pure" mashups are built relying entirely on the Web browser as a platform for integration at the presentation layer, this approach is not always feasible and part of the mashup integration logic must be deployed on the Web server instead. In the case study presented in this paper, we explore a novel approach to build mashups out of heterogeneous sources of streaming data. In particular, we introduce a layered mashup architecture, with a clear separation between the mashup user interface and the mashup integration logic run by a mashup engine. To do so, we show how to build a mashup application that displays in real time the location of visitors connecting to a Website. The integration logic feeding a map widget by processing the Web site logs is developed using a data flow model that connects a set of reusable and heterogeneous components into a data processing pipeline. We conduct a brief performance evaluation of the mashup showing that the pipeline introduces minimal delay and discuss several extensions of the mashup.},
	keywords = {JOpera, streaming, Web mashups},
	doi = {10.1007/978-3-540-93851-4_3},
	author = {Bi{\"o}rn Bi{\"o}rnstad and Cesare Pautasso}
}
@conference {jopera:2006:scc,
	title = {Control the Flow: How to Safely Compose Streaming Services into Business Processes},
	booktitle = {2006 IEEE International Conference on Services Computing},
	year = {2006},
	pages = {206 - 213},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Chicago, USA},
	abstract = {Although workflow languages are widely used for composing discrete services, these are not suitable for stream based interactions. In this paper we address the problem of how to extend a conventional Web service composition language with the ability to deal with data streaming services. The paper discusses several modeling alternatives and presents a marker based semantics for safely dealing with pipelined processing in service compositions. The paper also presents application examples that illustrate the advantages of the proposed approach},
	keywords = {JOpera, streaming, Web service composition},
	doi = {10.1109/SCC.2006.38},
	author = {Bi{\"o}rn Bi{\"o}rnstad and Cesare Pautasso and Gustavo Alonso}
}
