Business Process Engineering for Data Storing and Processing in a Collaborative Distributed Environment Based on Provenance Metadata, Smart Contracts and Blockchain Technology

Malik

Wireless Communications and Mobile Computing

2022

Advancements in information and communication technologies (ICT), big data analytics, and artificial intelligence- (AI-) based techniques brought a dramatic revolution in diverse research domains, including healthcare, IoT, and networking. Blockchain technologies are gaining traction from both private and government organizations at an incredible rate. Emerging technologies have different levels of technological complexities and commercial ramifications. This technology is playing an essential role in the financial revolution of banking and regulatory sectors. Blockchain has piqued the interest of many academics, organizations, and businesses, particularly in using bitcoin. To grasp the significance of this revolution, a comprehensive assessment is performed to bridge the gaps in the targeted blockchain-driven domain with different perspectives. For this systematic review process, a set of four distinct research questions were formulated to accumulate the most relevant research trends. In private and public organizations, it is a securing technology to deliver trustworthy and protected services to users because of its decentralized, controlled aspect. Financial services, real estate, supply chain management, healthcare, academics, and other industries benefit significantly from this evolutionary technology. These application cases are diverse and far-reaching, ranging from smart contracts to blockchain-encrypted educational certificates. This systematic analysis has investigated a total of 113 relevant articles and concluded with the features and functions in an economic setting and briefed how these variables can balance players’ incentives, define core blockchain-related features, and present new research ideas to solve the proposed risk.

“…The study proposes a novel blockchain-based mechanism for delegating rights inside distributed computing systems that is devoid of the flaws seen in prior methods. [89] 13.…”

Section: Distributed Computing Systemsmentioning

confidence: 99%

Systematic Analysis of Risk Associated with Supply Chain Operations Using Blockchain Technology

Malik

Wireless Communications and Mobile Computing

2022

“…The selected control papers were: (i) ProvChain: A Blockchain-Based Data Provenance Architecture in a Cloud Environment with Enhanced Privacy and Availability [41]; (II) SmartProvenance: A Distributed, Blockchain-Based Data Provenance System [55]; (III) Blockchain-Based Provenance Sharing of Scientific Workflows [12] ; III) Business process engineering for data storing and processing in a collaborative distributed environment based on provenance metadata, smart contracts and blockchain technology [21]. Considering the search string, the total number 5 captures the structure and static context of a workflow, i.e., it expresses the steps to be followed to generate a dataset.…”

Section: Systematic Literature Mappingmentioning

confidence: 99%

A Blockchain-Based Architecture for Trust in Collaborative Scientific Experimentation

et al. 2022

In scientific collaboration, data sharing, the exchange of ideas and results are essential to knowledge construction and the development of science. Hence, we must guarantee interoperability, privacy, traceability (reinforcing transparency), and trust. Provenance has been widely recognized for providing a history of the steps taken in scientific experiments. Consequently, we must support traceability, assisting in scientific results’ reproducibility. One of the technologies that can enhance trust in collaborative scientific experimentation is blockchain. This work proposes an architecture, named BlockFlow, based on blockchain, provenance, and cloud infrastructure to bring trust and traceability in the execution of collaborative scientific experiments. The proposed architecture is implemented on Hyperledger, and a scenario about the genomic sequencing of the SARS-CoV-2 coronavirus is used to evaluate the architecture, discussing the benefits of providing traceability and trust in collaborative scientific experimentation. Furthermore, the architecture addresses the heterogeneity of shared data, facilitating interpretation by geographically distributed researchers and analysis of such data. Through a blockchain-based architecture that provides support on provenance and blockchain, we can enhance data sharing, traceability, and trust in collaborative scientific experiments.

9th International Conference "Distributed Computing and Grid Technologies in Science and Education"

“…Instead of central cervices there exists peer sites of user groups under their own a dministration which jointly manage the DCS according to agreed rules and politics encoded in smart contracts and consensus algorithm. Further details on the approach and its implementation can be found in our paper [9].…”

Section: Decentralized Collaborative Distributed Systemsmentioning

confidence: 99%

“…Proceedings of the 9th International Conference "Distributed Computing and Grid Technologies in Science andEducation" (GRID'2021), Dubna, Russia, July[5][6][7][8][9] 2021 …”

mentioning

confidence: 99%

Complete Decentralization of Distributed Data Storages Based on Blockchain Technology

Demichev¹,

Kryukov²

2021

Self Cite

The work presents a solution for completely decentralized data management systems in geographically distributed environments with administratively unrelated or loosely related user groups and in conditions of partial or complete lack of trust between them. The solution is based on the integration of blockchain technology, smart contracts and provenance metadata driven data management. Architecture, operation principles and algorithms developed provides fault-tolerant, safe and reliable management of provenance metadata, control of operations with data files, as well as resource access management in collaborative distributed computing systems. The latter refer to distributed systems formed by combining into a single pool of computer resources of various organizations (institutions) to work together in the framework of some project.