Name
Abstract | ||
|---|---|---|
With the development of information technology and wide application of smart devices, data increases exponentially and more and more data are stored in the cloud, whereas most of them are infrequently accessed. Data temperature indicates the access frequency of data, where hot data is frequently accessed while cold data is rarely accessed after a while, also called archival data appearing in many ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00019 | 2021 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 | ISSN |
archival data,fault-tolerance,data placement,encoding transformation,pipeline repair | Conference | 2158-9178 |
ISBN | Citations | PageRank |
978-1-6654-3574-1 | 0 | 0.34 |
References | Authors | |
0 | 5 | |