: quantifying the cost of auto-scaling in cloud-based data stream analytics.
Yuanli WangBaiqing LyuVasiliki KalavriPublished in: BiDEDE@SIGMOD (2022)
Keyphrases
- data streams
- cloud computing
- big data
- sliding window
- data mining
- high cost
- social media
- sensor networks
- concept drift
- change detection
- data stream mining
- space efficient
- streaming data
- itemsets
- cost sensitive
- total cost
- data analysis
- transactional data
- distributed data streams
- data sets
- business intelligence
- multi dimensional
- efficient processing
- expected cost
- stream processing
- case study
- web services