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Enabling Privacy Mechanisms in Apache Storm

Christian Schaefer, P.M. Manoj
2015 2015 IEEE International Congress on Big Data  
SUMMARY This paper introduced some mechanisms to improve privacy for Apache Storm.  ...  The privacy policies specify the privacy rules that have to be enforced in the Apache Storm cluster.  ... 
doi:10.1109/bigdatacongress.2015.24 dblp:conf/bigdata/SchaeferM15 fatcat:37zlkivdgngcbofq4k6763ohee

S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams [article]

Nicolas Kourtellis and Herodotos Herodotou and Maciej Grzenda and Piotr Wawrzyniak and Albert Bifet
2020 arXiv   pre-print
The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the state of art in big  ...  S2CE will enable machine and deep learning over voluminous and heterogeneous data streams running on hybrid cloud and edge settings, while offering the necessary functionalities for practical and scalable  ...  ., Apache HBase), data ingestion (e.g., Apache Flume), and DSPEs (e.g., Apache Storm, Apache Flink).  ... 
arXiv:2007.01260v1 fatcat:hfavtqtpmnd2xo5uh7tzcomm4u

Stream-monitoring with blockmon

Davide Simoncelli, Maurizio Dusi, Francesco Gringoli, Saverio Niccolini
2013 Computer communication review  
We compare its performance against Storm and Apache S4, the state-ofthe-art open-source stream-processing platforms, by implementing a phone call anomaly detection system and a Twitter trending algorithm  ...  : our enhanced BlockMon has a gain in performance of over 2.5x and 23x, respectively.  ...  Moreover, we experience this consideration to hold also when enabling the ack mechanism on Storm 2disabled during our experiments as we had no failures.  ... 
doi:10.1145/2479957.2479962 fatcat:w7ss2vzdwfccjldxriv42jwz4a

BIG DATA SECURITY AND PRIVACY ISSUES IN THE CLOUD

Ali Gholami, Erwin Laure
2016 Zenodo  
Cloud computing as an enabler provides scalable resources and significant economic benefits in the form of reduced operational costs.  ...  We also outline the frontier research on privacy-preserving data-intensive applications in cloud computing such as privacy threat modeling and privacy enhancing solutions.  ...  This mechanism enables users to store data by putting a block identifier and the contents of the block in the cloud.  ... 
doi:10.5281/zenodo.3345301 fatcat:rcyl5gid25aepdnjfrfci37b6i

Big Data Security and Privacy Issues in the CLOUD

Ali Gholami, Erwin Laure
2016 International journal of network security and its applications  
Cloud computing as an enabler provides scalable resources and significant economic benefits in the form of reduced operational costs.  ...  We also outline the frontier research on privacy-preserving data-intensive applications in cloud computing such as privacy threat modeling and privacy enhancing solutions.  ...  This mechanism enables users to store data by putting a block identifier and the contents of the block in the cloud.  ... 
doi:10.5121/ijnsa.2016.8104 fatcat:65oubksgcjfszlnsixzfm7cd6a

Big Data Analytics: A Perspective View

Suman Pandey
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
This paper studies the content, scope, methods, advantages and challenges of big data and also discusses privacy issue concern on it.  ...  These are certainly useful to companies or organizations by gaining richer and deeper insights to compete in market.  ...  The core of S4 is written in Java. S4 also employs Apache ZooKeeper to manage its cluster, like Storm does. S4 has been in production systems at Yahoo!  ... 
doi:10.23956/ijarcsse/sv7i5/0237 fatcat:mq75vo3n4rbihnc43mtpktzrru

A Comparative Analysis of Big Data Frameworks: An Adoption Perspective

Madiha Khalid, Muhammad Murtaza Yousaf
2021 Applied Sciences  
This research focuses on comparing the most prominent and widely used frameworks in the open-source landscape.  ...  We identify key requirements of a big framework and review each of these frameworks in the perspective of those requirements.  ...  Storm became open-source in 2012 and became part of Apache projects later in 2014.  ... 
doi:10.3390/app112211033 fatcat:mfh3thwe5ngdnolkhc264rkbdi

Do CHANGE platform: A service-based architecture for secure aggregation and distribution of health and wellbeing data

Idowu Ayoola, Mart Wetzels, Peter Peters, Sander van Berlo, Loe Feijs
2018 International Journal of Medical Informatics  
The records are queued in Kafka and consumed sequentially by the application processing topology built in Apache Storm (see footnote 1 ).  ...  Name Author/Organization URL Apache Kafka Apache Software Foundation http://kafka.apache.org Apache Storm Apache Software Foundation http://storm.apache.org Apple Health Apple Inc http  ... 
doi:10.1016/j.ijmedinf.2018.06.004 pmid:30032958 fatcat:5zhu5uerwvcqzm7apyz53b25f4

Challenges in designing edge-based middlewares for the Internet of Things: A survey [article]

Eduard Gibert Renart, Daniel Balouek-thomert, Manish Parashar
2019 arXiv   pre-print
The Internet of Things paradigm connects edge devices via the Internet enabling them to be seamlessly integrated with a wide variety of applications.  ...  In this regard, we propose a four-layer architecture for the design of edge-based middleware, along with some design goals for each of the proposed layer.  ...  ACKNOWLEDGMENTS This research is supported in part by NSF via grants numbers OAC 1339036, OAC 1441376, OCE 1745246, OAC 1826997, OAC 1835692, and OAC 1640834, and was conducted as part of the Rutgers Discovery  ... 
arXiv:1912.06567v1 fatcat:7it2ztkngrhsld244agl7eoyoq

MOBDA: Microservice-Oriented Big Data Architecture for Smart City Transport Systems

Suriya Priya R. Asaithambi, Ramanathan Venkatraman, Sitalakshmi Venkatraman
2020 Big Data and Cognitive Computing  
Current transportation systems struggle to meet different stakeholder expectations while trying their best to optimize resources in providing various transport services.  ...  The authors thank the students (Siddharth P, Pranshu R, Nyon Yan Zheng, Tan Kok Keng, Rajan D, Anjali S, Gopalakrishnan S) for taking part in the project that helped in the use case implementation.  ...  Data anonymization, encryption, and differential privacy mechanisms protect public information.  ... 
doi:10.3390/bdcc4030017 fatcat:7vnhe5u3affznn4cwxfxjjc4qy

Big Data Acquisition [chapter]

Klaus Lyko, Marcus Nitzschke, Axel-Cyrille Ngonga Ngomo
2016 New Horizons for a Data-Driven Economy  
For instance Apache Kafka uses a publishsubscribe mechanism where both Hadoop and Storm can be subscribed, and therefore the messages received will be available to them.  ...  Apache Flume on the other hand follows a different approach, storing the data in a NoSQL key-value store to ensure velocity, and pushing the data to one or several receivers (i.e. Hadoop and Storm).  ... 
doi:10.1007/978-3-319-21569-3_4 fatcat:bz227xyzsbfzzcsxuy4ao72rlq

Big Challenges? Big Data …

Sahil R., Aarati Mahajan
2015 International Journal of Computer Applications  
While more data enables realistic analysis and thus help in making accurate business decisions / goals, it is equally difficult to manage and analyze such a huge amount of data.  ...  Every day, we create 2.5 quintillion bytes of datastructured and unstructured, so much that 90% of the data in the world today has been created in the last two years alone.  ...  InfiniDB, the name of the platform that is enabled via MySQL, enables fast loading and query times.  ... 
doi:10.5120/ijca2015907452 fatcat:dgmzyowjyncvjjkepcdc4i4yey

Parallel processing on Big Data in the context of Machine Learning and Hadoop Ecosystem: A Survey

Anilkumar Vishwanath Brahmane1, R Murugan
2018 International Journal of Engineering & Technology  
In reality, a lot of institutes, businesses and in general entire society from diverse segments depend more and more on information take out from enormous quantity of raw information, statistics and numbers  ...  In this paper an evaluation is done, this studies recent technologies developed for Big Data.  ...  In fact, it simplifies the processing of massive volumes of data through its efficient and costeffective mechanisms. It enables to write programs that can support parallel processing.  ... 
doi:10.14419/ijet.v7i2.7.10885 fatcat:goyvvzlwsbeifi62nrldkgp3yy

Spatiotemporal Aspects of Big Data

Saadia Karim, Tariq Rahim Soomro, S. M. Aqil Burney
2018 Applied Computer Systems  
In the present research, a qualitative approach is used to present the framework classification in two categories: architecture and features.  ...  These two categories project a significant effect on the execution of spatiotemporal data in big data. Frameworks are able to solve the real-time problems in less time of cycle.  ...  Storm has very extensive language support, enabling users to make many decisions for significant topologies [13] , [14] , [20] , [21] .  ... 
doi:10.2478/acss-2018-0012 fatcat:rxp74qe4bvd4rk6bchql7ajaeu

Next-Generation Big Data Federation Access Control: A Reference Model [article]

Feras M. Awaysheh, Mamoun Alazab, Maanak Gupta, Tomás F. Pena, José C. Cabaleiro
2019 arXiv   pre-print
Privacy and security on a federation scale remain significant concerns among practitioners.  ...  However, this major concern has not been a subject of intensive study in the literature.  ...  These services may include, but are not limited to: MapReduce for batch querying, Apache Spark for micro-batches, and Apache Storm for real-time processing.  ... 
arXiv:1912.11588v1 fatcat:3cot2oog6jedbilw2it3w7m47i
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