2015
DOI: 10.1016/j.comnet.2015.05.019
|View full text |Cite
|
Sign up to set email alerts
|

PRINGL – A domain-specific language for incentive management in crowdsourcing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
2
1
1

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(2 citation statements)
references
References 29 publications
0
2
0
Order By: Relevance
“…In our framework, an IoT application to be deployed consists of interdependent discrete tasks, which can be concretized as, e.g., containerized microservices or serverless functions. Nodes participating in the system individually select tasks they may host -perhaps based on some incentive scheme [10], [11]. The overall application has certain (strict) latency requirements, while other concerns may impose further constraints over where a task may be deployed as well.…”
Section: Introductionmentioning
confidence: 99%
“…In our framework, an IoT application to be deployed consists of interdependent discrete tasks, which can be concretized as, e.g., containerized microservices or serverless functions. Nodes participating in the system individually select tasks they may host -perhaps based on some incentive scheme [10], [11]. The overall application has certain (strict) latency requirements, while other concerns may impose further constraints over where a task may be deployed as well.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, it is more difficult to encourage the two parties to synergize. Some scholars believe that, incentive mechanisms should be designed in line with the characteristics for specific synergistic relations, so that synergistic innovation subjects can cooperate more efficiently [11], [12]. Stephen believes that it is feasible to maximize the total profits by effectively motivating the interaction, willingness and cooperative relationship of each party [13].…”
Section: Introductionmentioning
confidence: 99%