Implementation of directed acyclic graph in blockchain network to improve security and speed of transactions

Kotilevets, I. D.; Ivanova, I.; Romanov, I.O.; Magomedov, Shamil; Nikonov, Vyacheslav Viktorovich; Pavelev, S.A.

doi:10.1016/j.ifacol.2018.11.213

Cited by 26 publications

(10 citation statements)

References 1 publication

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“…Each node then can be mapped to one or more shards and will thus process and store selected transactions. Recently, a Directed Acyclic Graph (DAG) approach has been also proposed to improve transaction throughput [25]. The design of alternative application-specific consensus algorithms and hierarchical blockchain systems can further improve the latency, throughput and scalability of such systems.…”

Section: Latency Throughput and Scalabilitymentioning

confidence: 99%

The Role of Blockchain to Fight Against COVID-19

Kalla

Hewa

Mishra

et al. 2020

IEEE Eng. Manag. Rev.

166

132

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The COVID-19 pandemic has adversely affected almost all aspects of human life, various sectors of business, and regions of the world. The flow of human activities halted for several months, and are now being carefully redefined to align with guidelines and recommendations to avoid the spread of the novel coronavirus. In contrast to other pandemics the world has witnessed in the past, the technological advancements of the current era are a boon that can play a key role in safeguarding humanity. In this work, we begin by highlighting general challenges that have arisen during the COVID-19 pandemic. Next, to gauge the applicability of blockchain as a key enabling technology, we identify potential use cases to meet current needs. Further, for each use case, we present a high-level view of how blockchain can be leveraged and discuss the expected performance. Finally, we highlight the challenges that must be addressed to harness the full potential of blockchain technology and discuss plausible solutions.

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Section: Latency Throughput and Scalabilitymentioning

confidence: 99%

The Role of Blockchain to Fight Against COVID-19

Kalla

Hewa

Mishra

et al. 2020

IEEE Eng. Manag. Rev.

166

132

View full text Add to dashboard Cite

show abstract

“…One of the disadvantages of PoW is the creation time of the block which is 10 min. DAG instead of implementing a single chain, works on "side chains" [73]. Therefore, to reduce the time of block creation and validation different transactions are performed on multiple chains.…”

Section: Directed Acyclic Graph (Dag)mentioning

confidence: 99%

Research and Applied Perspective to Blockchain Technology: A Comprehensive Survey

et al. 2021

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Blockchain being a leading technology in the 21st century is revolutionizing each sector of life. Services are being provided and upgraded using its salient features and fruitful characteristics. Businesses are being enhanced by using this technology. Countries are shifting towards digital currencies i.e., an initial application of blockchain application. It omits the need of central authority by its distributed ledger functionality. This distributed ledger is achieved by using a consensus mechanism in blockchain. A consensus algorithm plays a core role in the implementation of blockchain. Any application implementing blockchain uses consensus algorithms to achieve its desired task. In this paper, we focus on provisioning of a comparative analysis of blockchain’s consensus algorithms with respect to the type of application. Furthermore, we discuss the development platforms as well as technologies of blockchain. The aim of the paper is to provide knowledge from basic to extensive from blockchain architecture to consensus methods, from applications to development platform, from challenges and issues to blockchain research gaps in various areas.

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“…At that time, a customized Direct Acyclic Graph for IoT event stream processing would fulfill this demand. This IoT-enabled direct acyclic graph would address future heterogeneous workflow event stream operations in the spark cluster [38].…”

Section: Motivationmentioning

confidence: 99%

IoT-enabled directed acyclic graph in spark cluster

et al. 2020

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Real-time data streaming fetches live sensory segments of the dataset in the heterogeneous distributed computing environment. This process assembles data chunks at a rapid encapsulation rate through a streaming technique that bundles sensor segments into multiple micro-batches and extracts into a repository, respectively. Recently, the acquisition process is enhanced with an additional feature of exchanging IoT devices’ dataset comprised of two components: (i) sensory data and (ii) metadata. The body of sensory data includes record information, and the metadata part consists of logs, heterogeneous events, and routing path tables to transmit micro-batch streams into the repository. Real-time acquisition procedure uses the Directed Acyclic Graph (DAG) to extract live query outcomes from in-place micro-batches through MapReduce stages and returns a result set. However, few bottlenecks affect the performance during the execution process, such as (i) homogeneous micro-batches formation only, (ii) complexity of dataset diversification, (iii) heterogeneous data tuples processing, and (iv) linear DAG workflow only. As a result, it produces huge processing latency and the additional cost of extracting event-enabled IoT datasets. Thus, the Spark cluster that processes Resilient Distributed Dataset (RDD) in a fast-pace using Random access memory (RAM) defies expected robustness in processing IoT streams in the distributed computing environment. This paper presents an IoT-enabled Directed Acyclic Graph (I-DAG) technique that labels micro-batches at the stage of building a stream event and arranges stream elements with event labels. In the next step, heterogeneous stream events are processed through the I-DAG workflow, which has non-linear DAG operation for extracting queries’ results in a Spark cluster. The performance evaluation shows that I-DAG resolves homogeneous IoT-enabled stream event issues and provides an effective stream event heterogeneous solution for IoT-enabled datasets in spark clusters.

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Implementation of directed acyclic graph in blockchain network to improve security and speed of transactions

Cited by 26 publications

References 1 publication

The Role of Blockchain to Fight Against COVID-19

The Role of Blockchain to Fight Against COVID-19

Research and Applied Perspective to Blockchain Technology: A Comprehensive Survey

IoT-enabled directed acyclic graph in spark cluster

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