Scaling the Cloud for Smart Home Security: Efficient Video Data Deletion with MapReduce

Authors

Sibin Thomas

Abstract

Home security cameras create a lot of video footage, making it tough to keep track of what to save and what to delete. This paper looks at the challenges of handling a lot of videos every day. It focuses on how videos are deleted based on time, retention, and user choice, all while keeping user privacy and costs in mind. MapReduce programming model can be leveraged to provide a solution that can scale and adapt easily and help with data cleaning and managing access. Using smart optimizations such as metadata dumps and a "should serve" marker further improves efficiency and enhances scalability. This method helps smart home security cameras follow data retention rules, save on storage costs, and offer a safer and improved experience for users.

Keywords

Video data management, Data retention, Data deletion, MapReduce, Scalability, Cloud storage, User privacy, Cost optimization, Big data

Scaling the Cloud for Smart Home Security: Efficient Video Data Deletion with MapReduce. Sibin Thomas. 2020. IJIRCT, Volume 6, Issue 3. Pages 1-6. https://www.ijirct.org/viewPaper.php?paperId=2411045