Big Data Processing in Cloud Computing Environments

By Changqing Ji, Yu Li, Wenming Qiu, Uchechukwu Awada, Keqiu Li. International Symposium on Pervasive Systems, Algorithms, and Networks, 2012

306 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges (2019, methodology): “Depending on the size of data, processing can be done on a single core machine to multi-core or on cloud and GPU servers [104].”
Organic streams: Data aggregation and integration based on individual needs (2013, unknown): “For instance, every month, Facebook deals with 570 billion page views, stores three billion new photos, and manages 25 billion pieces of contents [1].”
The rise of "big data" on cloud computing: Review and open research issues (2015, background): “Several cloud-based technologies have to cope with this new environment because dealing with big data for concurrent processing has become increasingly complicated [42].”
Internet of Things (IoT) and the Energy Sector (2020, background): “Using these characteristics, cloud computing enables processing the big data, and provides complex computation capabilities [106].”
Big Data and cloud computing: innovation opportunities and challenges (2017, background): “While cloud computing provides virtually unlimited storage, computing and networking (Yang et al. 2011a; Ji et al. 2012; Yang, Xu, and Nebert 2013), obtaining optimal cost and high efficiency are elusive (Pumma, Achalakul, and Li 2012).”