Research Article
Fairness of Task Allocation in Crowdsourcing Workflows
| Input: given workflow: | | Output: {totalCost, overallFairness, completedTime} | (1) | for , initialize , , , and | (2) | While > 0 Do | (3) | Get by calling findLongestPath () | (4) | IfThen | (5) | Let current_node = | (6) | Let S = | (7) | For i = 1 to Do | (8) | Get the list of nominees for | (9) | Group nominees by similarity | (10) | Set for each group | (11) | Get candidates by multicasting nominees by group | (12) | Calculate the overallFairness | (13) | Calculate the indicator or for all candidates | (14) | Sort the list by or | (15) | Select the top candidate for | (16) | Remove from | (17) | totalCost + = | (18) | completedTime = | (19) | End For | (20) | Update parameters of remaining tasks after finishing S | (21) | End If | (22) | End While | (23) | return {totalCost, overallFairness, completedTime} |
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