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Titlebook: Crowdsourcing; Cloud-Based Software Wei Li,Michael N. Huhns,Wenjun Wu Book 2015 Springer-Verlag Berlin Heidelberg 2015 Cloud Computing.Crow

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Bootstrapping the Next Generation of Social Machinescess than software development, as the community must be “programmed” as well as the machines. This leads to development in the context evolving and unknown requirements, and having to deal with more sociological concepts than formal systems designers usually work with. We hence model the process us
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An Evolutionary and Automated Virtual Team Making Approach for Crowdsourcing Platformsed task. A few examples of factors forming the optimization problem include budget defined by the task submitter and pay expectation from a registrant, skills required by a task, skills of a registrant, task delivering deadline, and availability of a registrant. We first collected a set of commonly
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Social Clouds: Crowdsourcing Cloud Infrastructuretheir resources available and offer their expertise altruistically for “good causes” or in exchange for other resources or payment. In this chapter we present the Social Cloud model and describe how it can be used to crowdsource software infrastructure.
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Recommending Web Services Using Crowdsourced Testing Dataplatform, with which a user can easily invoke selected Web services. With the above two approaches, the observed service invocation data, e.g. response time, will be collected in this way. Then we design a TemporalQoS-Aware Web Service Recommendation Framework to predict missing QoS value under vari
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