TY - GEN
T1 - Work capacity of freelance markets
T2 - 34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015
AU - Chatterjee, Avhishek
AU - Varshney, Lav R.
AU - Vishwanath, Sriram
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/21
Y1 - 2015/8/21
N2 - Crowdsourcing of jobs to online freelance markets is rapidly gaining popularity. Most crowdsourcing platforms are uncontrolled and offer freedom to customers and freelancers to choose each other. This works well for unskilled jobs (e.g., image classification) with no specific quality requirement since freelancers are functionally identical. For skilled jobs (e.g., software development) with specific requirements, however, this does not ensure the maximum number of job requests is satisfied. In this work we determine the capacity of freelance markets, in terms of maximum satisfied job requests, and propose centralized schemes that achieve capacity. To ensure decentralized operation and freedom of choice for customers and freelancers, we propose simple schemes compatible with the operation of current crowd-sourcing platforms that approximately achieve capacity. Further, for settings where job requests exceed capacity, we propose an optimal and fair scheme for declining jobs without wait.
AB - Crowdsourcing of jobs to online freelance markets is rapidly gaining popularity. Most crowdsourcing platforms are uncontrolled and offer freedom to customers and freelancers to choose each other. This works well for unskilled jobs (e.g., image classification) with no specific quality requirement since freelancers are functionally identical. For skilled jobs (e.g., software development) with specific requirements, however, this does not ensure the maximum number of job requests is satisfied. In this work we determine the capacity of freelance markets, in terms of maximum satisfied job requests, and propose centralized schemes that achieve capacity. To ensure decentralized operation and freedom of choice for customers and freelancers, we propose simple schemes compatible with the operation of current crowd-sourcing platforms that approximately achieve capacity. Further, for settings where job requests exceed capacity, we propose an optimal and fair scheme for declining jobs without wait.
UR - http://www.scopus.com/inward/record.url?scp=84954232244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84954232244&partnerID=8YFLogxK
U2 - 10.1109/INFOCOM.2015.7218558
DO - 10.1109/INFOCOM.2015.7218558
M3 - Conference contribution
AN - SCOPUS:84954232244
T3 - Proceedings - IEEE INFOCOM
SP - 1769
EP - 1777
BT - 2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 26 April 2015 through 1 May 2015
ER -