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b-rohit committed Jun 4, 2021
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# Introduction
* What is crawling, ranking, indexing in general terms?
* What does it mean for IoT devices and services?
* Are there existing solutions?
* If yes, give brief overview, compare them, pros and cons
* build platform for IoTCrawler by comparing it with existing solutions
* point out why it is different and better than them
* target area of IoTCrawler framework
* For which IoT devices or platform?
## IoTCrawler
The IoTCrawler is a project, funded by EU under the H2020 programme, whose main objective is to become a scalable, flexible and secure search engine for IoT information. Its intention is not to become a new IoT platform competing with existing ones, but being a higher frame of reference for all of them, creating an IoT ecosystem, quite like any web.based search engine is for websites and webpages. It provides scalable and efficient methods for discovery, crawling, indexing and ranking of IoT resources in large-scale cross-platform, cross-disciplinary systems and scenarios. IoTCrawler improves on other approaches by providing and considering as main driving pillars the enablers for secure and privacy-aware access of IoT resources while also, providing monitoring and analysis of QoS and QoI that is evaluated during the ranking of suitable resources and supports fault recovery and service continuity.
* What is governance model of the project, e.g. developed under EU
* Brief overview of the features of IoTCrawler e.g. security, privacy, performance
* a paragraph for each feature
## Feature name
* describe each feature in detail in different subheading.
# IoTCrawler

The IoTCrawler is a project, funded by EU under the H2020 programme, whose main objective is to become a scalable, flexible and secure search engine for IoT information. Its intention is not to become a new IoT platform competing with existing ones, but being a higher frame of reference for all of them, creating an IoT ecosystem, quite like any web.based search engine is for websites and webpages. It provides scalable and efficient methods for discovery, crawling, indexing and ranking of IoT resources in large-scale cross-platform, cross-disciplinary systems and scenarios. IoTCrawler improves on other approaches by providing and considering as main driving pillars the enablers for secure and privacy-aware access of IoT resources while also, providing monitoring and analysis of QoS and QoI that is evaluated during the ranking of suitable resources and supports fault recovery and service continuity.

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