In-Memory Big Data Management and Processing: A Survey
By Hao Zhang, Gang Chen, Beng Chin Ooi, Kian-Lee Tan, Meihui Zhang. IEEE Transactions on Knowledge and Data Engineering, 2015
438 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/e5d9809beb3ba4887585fccc6283521f43fb21d6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Information Systems
Citations in the corpus
- Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, neutral): “[396] H.”
- BLOCKBENCH: A Framework for Analyzing Private Blockchains (2017, background): “Many data processing systems are taking advantage of new hardware to boost their performance [47, 51, 21].”
- Untangling Blockchain: A Data Processing View of Blockchain Systems (2017, background): “Many data processing systems are taking advantage of new hardware to boost their performance [93], [94], [95].”
- Structural Health Monitoring Framework Based on Internet of Things: A Survey (2017, background): “Most of their solutions are based on distributed, parallel or in memory processing and can be deployed easily in cloud systems as summarized in [112] and [113] where the most popular examples are not only SQL (NoSQL) databases and Hadoop.”
- Efficient Memory Management for GPU-based Deep Learning Systems (2019, methodology): “Various techniques have been proposed such as paging and cache optimization [19], [20].”