Abstract | ||
---|---|---|
Streaming dataflows are usually deployed as longterm services and suffer from the fluctuation in arrival rates. Many scaling controllers provide the elasticity to scale up or down the dataflow to meet the target throughput. However, for most controllers with specific target Service Level Objective (SLO), it is difficult to use a single decision to accurately complete a scaling action. Reaching the... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom51426.2020.00058 | 2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) |
Keywords | DocType | ISBN |
Fluctuations,Social networking (online),Blogs,Elasticity,Throughput | Conference | 978-1-6654-1485-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 |