NDLI: SmartOrch: an adaptive orchestration system for human-machine collectives

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SmartOrch: an adaptive orchestration system for human-machine collectives

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SmartOrch: an adaptive orchestration system for human-machine collectives

Content Provider	ACM Digital Library
Author	Diochnos, Dimitrios I. Wen, Zhenyu Ceppi, Sofia Andreadis, Pavlos Rovatsos, Michael
Abstract	Web-based collaborative systems, where most computation is performed by human collectives, have distinctly different requirements from traditional workflow orchestration systems, as humans have to be mobilised to perform computations and the system has to adapt to their collective behaviour at runtime. In this paper, we present a social orchestration system called SmartOrch, which has been designed specifically for collective adaptive systems in which human participation is at the core of the overall distributed computation. SmartOrch provides a flexible and customisable workflow composition framework that has multi-level optimisation capabilities. These features allow us to manage the uncertainty that collective adaptive systems need to deal with in a principled way. We demonstrate the benefits of SmartOrch with simulation experiments in a ridesharing domain. Our experiments show that SmartOrch is able to respond flexibly to variation in collective human behaviour, and to adapt to observed behaviour at different levels. This is accomplished by learning how to propose and route human-based tasks, how to allocate computational resources when managing these tasks, and how to adapt the overall interaction model of the platform based on past performance. By proposing novel, solid engineering principles for these kinds of systems, SmartOrch addresses shortcomings of previous work that mostly focused on application-specific, non-adaptive solutions.
Starting Page	37
Ending Page	44
Page Count	8
File Format	PDF
ISBN	9781450344869
DOI	10.1145/3019612.3019623
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-04-03
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Distributed systems Workflow composition Collective adaptive systems Workflow optimisation Workflow orchestration
Content Type	Text
Resource Type	Article

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