Secure big data storage and sharing scheme for cloud tenants

2015 ◽  
Vol 12 (6) ◽  
pp. 106-115 ◽  
Author(s):  
Hongbing Cheng ◽  
Chunming Rong ◽  
Kai Hwang ◽  
Weihong Wang ◽  
Yanyan Li
2019 ◽  
Vol 15 (4) ◽  
pp. 2338-2348 ◽  
Author(s):  
Amritpal Singh ◽  
Sahil Garg ◽  
Kuljeet Kaur ◽  
Shalini Batra ◽  
Neeraj Kumar ◽  
...  

2015 ◽  
Vol 50 ◽  
pp. 264-269
Author(s):  
Thirumalaisamy Ragunathan ◽  
Sudheer Kumar Battula ◽  
Rathnamma Gopisetty ◽  
B. RangaSwamy ◽  
N. Geethanjali

Author(s):  
Anupama C. Raman

Unstructured data is growing exponentially. Present day storage infrastructures like Storage Area Networks and Network Attached Storage are not very suitable for storing huge volumes of unstructured data. This has led to the development of new types of storage technologies like object-based storage. Huge amounts of both structured and unstructured data that needs to be made available in real time for analytical insights is referred to as Big Data. On account of the distinct nature of big data, the storage infrastructures for storing big data should possess some specific features. In this chapter, the authors examine the various storage technology options that are available nowadays and their suitability for storing big data. This chapter also provides a bird's eye view of cloud storage technology, which is used widely for big data storage.


Author(s):  
Kerry E. Koitzsch

This chapter is a brief introduction to the Image As Big Data Toolkit (IABDT), a Java-based open source framework for performing a variety of distributed image processing and analysis tasks. IABDT has been developed over the last two years in response to the rapid evolution of Big Data architectures and technologies, distributed and image processing systems. This chapter presents an architecture for image analytics that uses Big Data storage and compression methods. A sample implementation of our image analytic architecture called the Image as Big Data Toolkit (IABDT) addresses some of the most frequent challenges experienced by the image analytics developer. Baseline applications developed with IABDT, status of the toolkit and directions for future extension with emphasis on image display, presentation, and reporting case studies are discussed to motivate our design and technology stack choices. Sample applications built using IABDT, as well as future development plans for IABDT are discussed.


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