@conference {pjs:2014:ppopp,
	title = {TigerQuoll: parallel event-based JavaScript},
	booktitle = {Proceedings of the 18th ACM SIGPLAN symposium on Principles and practice of parallel programming (PPoPP {\textquoteright}13)},
	year = {2013},
	month = {February},
	pages = {251{\textendash}260},
	publisher = {ACM},
	organization = {ACM},
	address = {Shenzhen, China},
	abstract = {JavaScript, the most popular language on the Web, is rapidly moving to the server-side, becoming even more pervasive. Still, JavaScript lacks support for shared memory parallelism, making it challenging for developers to exploit multicores present in both servers and clients. In this paper we present TigerQuoll, a novel API and runtime for parallel programming in JavaScript. TigerQuoll features an event-based API and a parallel runtime allowing applications to exploit a mutable shared memory space. The programming model of TigerQuoll features automatic consistency and concurrency management, such that developers do not have to deal with shared-data synchronization. TigerQuoll supports an innovative transaction model that allows for eventual consistency to speed up high-contention workloads. Experiments show that TigerQuoll applications scale well, allowing one to implement common parallelism patterns in JavaScript.},
	keywords = {JavaScript, Parallel JavaScript, TigerQuoll},
	isbn = {978-1-4503-1922-5},
	doi = {http://doi.acm.org/10.1145/2442516.2442541},
	author = {Daniele Bonetta and Walter Binder and Cesare Pautasso}
}
@inproceedings {sosoa:2011,
	title = {Towards Self-Organizing Service-Oriented Architectures},
	year = {2011},
	month = {July},
	pages = {115-121},
	publisher = {IEEE},
	address = {Washington, DC, USA},
	abstract = {Service-oriented architectures (SOAs) provide a successful model for structuring complex distributed software systems, as they reduce the cost of ownership and ease the creation of new applications by composing existing services. However, currently, the development of service-oriented applications requires many manual tasks and prevailing infrastructure is often based on centralized components that are central points of failure and easily become bottlenecks. In this paper, we promote self-organizing SOA as a new approach to overcome these limitations. Self-organizing SOA integrates research results in the areas of autonomic and service oriented computing. We consider self-organizing features for the whole life-cycle of a service-oriented application, from the creation to the execution, optimization, and monitoring.},
	keywords = {autonomic computing, monitoring, self-organizing service-oriented architecture, service composition, service oriented computing, Web services},
	doi = {10.1109/SERVICES.2011.44},
	author = {Walter Binder and Daniele Bonetta and Cesare Pautasso and Achille Peternier and Diego Milano and Heiko Schuldt and Nenad Stojnic and Boi Faltings and Immanuel Trummer}
}
@inproceedings {1948635,
	title = {Towards scalable service composition on multicores},
	year = {2010},
	month = {October},
	pages = {655{\textendash}664},
	publisher = {Springer},
	address = {Crete},
	abstract = {The advent of modern multicore machines, comprising several chip multi-processors each offering multiple cores and often featuring a large shared cache, offers the opportunity to redesign the architecture of service composition engines in order to take full advantage of the underlying hardware resources. In this paper we introduce an innovative service composition engine architecture, which takes into account specific features of multicore machines while not being constrained to run on any particular processor architecture. Our preliminary performance evaluation results show that the system can scale to run thousands of concurrent business process instances per second.},
	keywords = {JOpera, multicore, Web service composition},
	isbn = {3-642-16960-0},
	doi = {10.1007/978-3-642-16961-8_90},
	author = {Daniele Bonetta and Achille Peternier and Cesare Pautasso and Walter Binder}
}
