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- W2994957523 abstract "Websites play an increasingly important role. They are not only a good marketing resource but also a power business tool. To make websites reliable and always available for customers, a large number of website monitoring services have been developed to periodically check the website uptime and performance. These services typically have a very limited number of checkpoints (i.e., geographical locations where we send monitoring requests to check the websites) and internet service providers (ISP) used by these checkpoints; it is because deploying checkpoints with low usage frequency would waste them a huge amount of money. Thus they cannot detect that a website is reachable from a city and an ISP but is unreachable from the others. To address this issue, this paper presents a crowdsourcing-based approach that makes use of browser extensions as checkpoints to monitor websites. Our main contributions include: (i) a website monitoring approach that combines the concepts of crowdsourcing and browser extensions; (ii) a batch processing technique for handling monitoring requests; (iii) the architecture of a conceptual crowdsourcing-based system for website monitoring that can coordinate a large number of crowd members; and (iv) various techniques to enhance the quality of monitoring." @default.
- W2994957523 created "2019-12-26" @default.
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- W2994957523 date "2019-01-01" @default.
- W2994957523 modified "2023-09-27" @default.
- W2994957523 title "Browser Extension-based Crowdsourcing Model for Website Monitoring" @default.
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- W2994957523 doi "https://doi.org/10.1145/3368926.3369706" @default.
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