TY - CHAP
T1 - Big Data and Cloud Computing
T2 - A Survey of the State-of-the-Art and Research Challenges
AU - Skourletopoulos, Georgios
AU - Mavromoustakis, Constandinos X.
AU - Mastorakis, George
AU - Batalla, Jordi Mongay
AU - Dobre, Ciprian
AU - Panagiotakis, Spyros
AU - Pallis, Evangelos
N1 - Funding Information:
The authors would like to thank the anonymous reviewers for their constructive comments and insights on the manuscript. Their suggestions have contributed greatly to the high quality and improvement of this article. The authors would also like to acknowledge networking support by the ICT COST Action IC1303: Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE) and the ICT COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet).
Publisher Copyright:
© 2017, Springer International Publishing Switzerland.
PY - 2017
Y1 - 2017
N2 - The proliferation of data warehouses and the rise of multimedia, social media and the Internet of Things (IoT) generate an increasing volume of structured, semi-structured and unstructured data. Towards the investigation of these large volumes of data, big data and data analytics have become emerging research fields, attracting the attention of the academia, industry and governments. Researchers, entrepreneurs, decision makers and problem solvers view ‘big data’ as the tool to revolutionize various industries and sectors, such as business, healthcare, retail, research, education and public administration. In this context, this survey chapter presents a review of the current big data research, exploring applications, opportunities and challenges, as well as the state-of-the-art techniques and underlying models that exploit cloud computing technologies, such as the big data-as-a-service (BDaaS) or analytics-as-a-service (AaaS).
AB - The proliferation of data warehouses and the rise of multimedia, social media and the Internet of Things (IoT) generate an increasing volume of structured, semi-structured and unstructured data. Towards the investigation of these large volumes of data, big data and data analytics have become emerging research fields, attracting the attention of the academia, industry and governments. Researchers, entrepreneurs, decision makers and problem solvers view ‘big data’ as the tool to revolutionize various industries and sectors, such as business, healthcare, retail, research, education and public administration. In this context, this survey chapter presents a review of the current big data research, exploring applications, opportunities and challenges, as well as the state-of-the-art techniques and underlying models that exploit cloud computing technologies, such as the big data-as-a-service (BDaaS) or analytics-as-a-service (AaaS).
KW - Analytics-as-a-service
KW - Big data
KW - Big data-as-a-service
KW - Business intelligence
KW - Cloud computing
KW - Cost-benefit analysis model
KW - Data analytics
KW - Data management
KW - Lease storage
UR - http://www.scopus.com/inward/record.url?scp=85132919680&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-45145-9_2
DO - 10.1007/978-3-319-45145-9_2
M3 - Chapter
AN - SCOPUS:85132919680
T3 - Studies in Big Data
SP - 23
EP - 41
BT - Studies in Big Data
PB - Springer Science and Business Media Deutschland GmbH
ER -