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Video Big Data Analytics in the Cloud: A Reference Architecture, Survey, Opportunities, and Open Research Issues

Aftab Alam, Irfan Ullah, Young-Koo Lee
2020 IEEE Access  
However, the current work is too limited to provide a complete survey of recent research work on video big data analytics in the cloud, including the management and analysis of a large amount of video  ...  We propose a service-oriented layered reference architecture for intelligent video big data analytics in the cloud.  ...  In the former class, the surveys overlook the big data characteristics and challenges of video analysis in the cloud.  ... 
doi:10.1109/access.2020.3017135 fatcat:qc62bhzlrfcwblnvurb5okfjxe

A survey of cryptographic approaches to securing big-data analytics in the cloud

Sophia Yakoubov, Vijay Gadepally, Nabil Schear, Emily Shen, Arkady Yerukhimovich
2014 2014 IEEE High Performance Extreme Computing Conference (HPEC)  
We introduce a cloud computing model that captures a rich class of big-data use-cases and allows reasoning about relevant threats and security goals.  ...  The growing demand for cloud computing motivates the need to study the security of data received, stored, processed, and transmitted by a cloud.  ...  ACKNOWLEDGMENT The authors would like to thank Sasha Berkoff, as well as the HPEC reviewers, for their helpful feedback on this paper.  ... 
doi:10.1109/hpec.2014.7040943 dblp:conf/hpec/YakoubovGSSY14 fatcat:jinnrastevhkzn5y4plfkh7baq

Cloud Kotta: Enabling secure and scalable data analytics in the cloud

Yadu N. Babuji, Kyle Chard, Aaron Gerow, Eamon Duede
2016 2016 IEEE International Conference on Big Data (Big Data)  
Here we present CLOUD KOTTA: a cloud-based data management and analytics framework.  ...  Given the growth of such data, especially in fields new to data-driven research like the social sciences and humanities, coupled with what are often strict and complex data-use agreements, many research  ...  ACKNOWLEDGMENTS The authors thank Nandana Sengupta, Nathan Bartley, and Cha Chen for developing applications on CLOUD KOTTA.  ... 
doi:10.1109/bigdata.2016.7840616 dblp:conf/bigdataconf/BabujiCGD16 fatcat:3ncezgnkj5a7vjup6y4yxgnb5u

Big Data Services Security and Security Challenges in Cloud Environment

Raed Alsufyani, Khursand Jama, Yulin Yao, Muthu Ramachandran, Victor Chang
2016 Proceedings of the International Conference on Internet of Things and Big Data  
This research paper is based on cloud computing security and data storage issues that organizations face when they upload their data to the cloud in order to share it with their customers.  ...  This study is concluded with a discussion of current problems and the future direction of cloud computing.  ...  INTRODUCTION Big data represents a new era in data exploration and utilization.  ... 
doi:10.5220/0005948904610468 dblp:conf/iotbd/AlsufyaniJYR016 fatcat:4hkgdv7vcjfndjerjy5dyouhyi

Reproducible and Portable Big Data Analytics in the Cloud [article]

Xin Wang, Pei Guo, Xingyan Li, Jianwu Wang, Aryya Gangopadhyay, Carl E. Busart, Jade Freeman
2022 arXiv   pre-print
Yet there are still two main difficulties in reproducing big data applications in the cloud.  ...  The experiments show our toolkit can achieve good execution performance, scalability and efficient reproducibility for cloud-based big data analytics.  ...  By calling Pipeline.execution(), the generate() method in corresponding cloud adaptee will generate the pipeline file and execute the big data analytics in cloud.  ... 
arXiv:2112.09762v2 fatcat:zbrlopjvkrhm5ho5mm5zpv2ryu

System G Data Store: Big, Rich Graph Data Analytics in the Cloud

M. Canim, Yuan-Chi Chang
2013 2013 IEEE International Conference on Cloud Engineering (IC2E)  
Big, rich graph data is increasingly captured through the interactions among people (email, messaging, social media), objects (location/map, server/network, product/catalog) and their relations.  ...  fraction of the raw data.  ...  The authors would like to thank the anonymous reviewers for their helpful comments.  ... 
doi:10.1109/ic2e.2013.25 dblp:conf/ic2e/CanimC13 fatcat:vcg6wpnfdnhrndxag25q6ub3gi

Boafft: Distributed Deduplication for Big Data Storage in the Cloud

Shengmei Luo, Guangyan Zhang, Chengwen Wu, Samee Khan, Keqin Li
2015 IEEE Transactions on Cloud Computing  
As data progressively grows within data centers, the cloud storage systems continuously facechallenges in saving storage capacity and providing capabilities necessary to move big data within an acceptable  ...  In this paper, we present the Boafft, a cloud storage system with distributed deduplication.  ...  of a cluster efficiently and satisfy the applications' demands of parallel processing on big data in the cloud storage system.  ... 
doi:10.1109/tcc.2015.2511752 fatcat:ppa6uhj3bfhy7ghwswyjkzh4w4

Digital Forensics Challenges to Big Data in the Cloud

Xiaohua Feng, Yuping Zhao
2017 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)  
As a new research area, Digital Forensics is a subject in a rapid development society. Cyber security for Big Data in the Cloud is getting attention more than ever.  ...  The techniques can be generalised to other Big Data in the Cloud environment.  ...  It is a typical Big Data collected by the IoTS and stored in the computer cloud.  ... 
doi:10.1109/ithings-greencom-cpscom-smartdata.2017.132 dblp:conf/ithings/FengZ17 fatcat:vxriqjrpn5gmlm22n2lbolyz4a

Comment: A brief survey of the current state of play for Bayesian computation in data science at Big-Data scale [article]

David Draper, Alexander Terenin
2017 arXiv   pre-print
both at big-data scale and with smaller data sets, as summarized in Table 1.  ...  This table is certainly an over-simplification of a highly complicated area of research in constant (present and likely future) flux, but we believe that constructing summaries of this type is worthwhile  ...  hardware: to work efficiently on a GPU, you either have to (1) hold your data set in the GPU's memory or (2) stream your data (if it's too big to fit in memory).  ... 
arXiv:1712.00849v2 fatcat:djn4qqr2jndelinv56p6zxta4i

Big Data Management in the Cloud: Evolution or Crossroad? [chapter]

Abdelkader Hameurlain, Franck Morvan
2016 Communications in Computer and Information Science  
In this paper, we try to provide a synthetic and comprehensive state of the art concerning big data management in cloud environments.  ...  In this perspective, data management based on parallel and cloud (e.g.  ...  Conclusion In this paper, we provided a synthetic and highlight state of the art concerning big data management in cloud environments.  ... 
doi:10.1007/978-3-319-34099-9_2 fatcat:nj57rxfi5bhlxfwr7risc3tpcq

Big Data-backed video distribution in the telecom cloud

M. Ruiz, M. Germán, L.M. Contreras, L. Velasco
2016 Computer Communications  
Exhaustive simulation over a realistic scenario reveal remarkable costs reduction by dynamically reconfiguring the CDN. Index Terms-Telecom CDN, Cloud CDN, Big Data.  ...  A Big Data architecture, fulfilling the ETSI NFV guidelines, allows controlling virtualized components while collecting and pre-processing data.  ...  ACKNOWLEDGMENT The research leading to these results has received funding from the Spanish MINECO SYNERGY project (TEC2014-59995-R).  ... 
doi:10.1016/j.comcom.2016.03.026 fatcat:upnuv2odufb5ndteo5bf6brgxy

Challenges and Research Directions in Big Data-driven Cloud Adaptivity

Andreas Tsagkaropoulos, Nikos Papageorgiou, Dimitris Apostolou, Yiannis Verginadis, Gregoris Mentzas
2018 Proceedings of the 8th International Conference on Cloud Computing and Services Science  
We examine new methods for developing cloud systems operating in a real-time, big data environment that can sense the context of the application environment and can adapt the infrastructure accordingly  ...  This paper surveys recent research efforts on advancing cloud computing virtual infrastructures and real-time big data technologies in order to provide dynamically scalable and distributed architectures  ...  ACKNOWLEDGEMENTS This work is partly funded by the European Commission project H2020 PrestoCloud -Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing (732339).  ... 
doi:10.5220/0006761901900200 dblp:conf/closer/TsagkaropoulosP18 fatcat:5w2kbdda7fdajgn265jzqrfo4y

Analyzing the performance of data replication and data partitioning in the cloud: The BEOWULF approach

Alexander Stiemer, Ilir Fetai, Heiko Schuldt
2016 2016 IEEE International Conference on Big Data (Big Data)  
In this paper, we analyze three protocols for distributed data management in the Cloud, namely Read-One-Write-All-Available (ROWAA), Majority Quorum (MQ) and Data Partitioning (DP) -all in a configuration  ...  Applications deployed in the Cloud usually come with dedicated performance and availability requirements. This can be achieved by replicating data across several sites and / or by partitioning data.  ...  INTRODUCTION Applications deployed in the Cloud usually have concrete requirements towards the services they consume.  ... 
doi:10.1109/bigdata.2016.7840932 dblp:conf/bigdataconf/StiemerFS16 fatcat:dro7ndiqg5g7jniyw532eyaiwq

A Survey on Big Data in the Media and Entertainment Industry

Annisaa Nurhayati
2019 ITEJ (Information Technology Engineering Journals)  
Many researchers have conducted research on the use of big data in the media and entertainment industries.  ...  The purpose of this paper is to provide an overview of the problems, challenges and various technologies related to Big Data in the media and entertainment industries.  ...  Pada penelitian survey ini, dieksplorasi beberapa cara tentang bagaimana Big Data membantu industri media dan hiburan dalam memanfaatkan banyaknya data yang mengalir dari berbagai sumber. A.  ... 
doi:10.24235/itej.v4i2.50 fatcat:hfa6yyw5arfpfkbooaybm2bvvy

The Era of Big Spatial Data: A Survey

Ahmed Eldawy, Mohamed F. Mokbel
2016 Foundations and Trends in Databases  
In this paper, we survey and contrast the existing work that has been done in the area of big spatial data.  ...  The recent explosion in the amount of spatial data calls for specialized systems to handle big spatial data.  ...  Acknowledgment This work is supported in part by the National Science Foundation, USA, under Grants IIS-0952977 and IIS-1218168. [Bibliography] [1] [2] Accumulo.  ... 
doi:10.1561/1900000054 fatcat:vlttziilxrc5ljsnzy2qaq36le
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