Lightweight Intuitive Provenance (LiP) in a distributed computing environment

ABSTRACT

Distributed computing infrastructure such as cloud computing has become an essential part of computing landscape over the past years. The phenomenon is rapidly gaining an overwhelming application in several organizations due partly to its robustness and ease of use. To secure data integrity in cloud computing environment, data provenance was introduced. Current data provenance information systems mainly deal with the problems and challenges of data provenances capture, query and storage as well as their security. In this paper, we considered how to manage the volume of provenance by introducing a Lightweight Intuitive Provenance in a cloud computing environment. We introduce the arithmetic coding method to enhance the provenance compression model through a space usage model. To speed up the searching time of the provenance in our system, a time efficiency model is applied. Experimental results show that our approach is a feasible mechanism for provenance storage resource management in cloud computing environment.

Keywords:

• Cloud computing
• lightweight
• provenance
• arithmetic coding

Disclosure statement

No potential conflict of interest was reported by the authors.

ORCID

W. Ametepe  http://orcid.org/0000-0002-5552-0332

Additional information

Funding

This work was supported by the National Science Foundation of China [grant number 61672269] and the Jiangsu Provincial Science and Technology Project [grant number BA2015161].

Notes on contributors

Wolali Ametepe

Wolali Ametepe was a Senior Lecturer at Wisconsin International University Ghana Campus and working towards the PHD degree in Computer Application Technology at Jiangsu University. His research interests include social Engineering, CT project management, data provenance, IoT, cloud computing, information security, and Wireless sensor network. He is a member of IEICE.

Changda Wang

Changda Wang was a Visiting Researcher with Carleton University and Purdue University. He is currently a Professor with the School of Computer Science and Communication Engineering, Jiangsu University. His recent research focuses on IoT security, network communication, and cloud computing. He is a member of CCF and serves in the Network and Data Communication Committee. He was a recipient of the Qinglan and Liuda Gaofeng Awards of Jiangsu Province.

Selasi Kwame Ocansey

Selasi Kwame Ocansey received his MSC in Information Technology at Sikkim Manipal University (India). He is currently a PhD Candidate in computer applications at Jiangsu University (China) He has vast experiences teaching courses in Computer Networks, Computer Architectures, Programming and Graphics designing and he has also supervised and graduated more than 200 BS students in Africa. His research interests are in the fields of Cryptography, Cloud computing and Internet of things.

XiaWei Li

XiaWei Li received the M.S degree in Computer Science from Jiangsu University, China, in 2007. She is currently working towards the Ph.D degree in Computer Science in Jiangsu University. Her research interests include wireless network security and data security and privacy in cloud computing.