A Blockchain-Enabled Multi Domain Edge Computing Orchestrator

Rathi, Vipin Kumar; Chaudhary, Vinay; Rajput, Nikhil Kumar; Ahuja, Bhavya; Jaiswal, Amit Kumar; Gupta, Deepak; Elhoseny, Mohamed; Hammoudeh, Mohammad

doi:10.1109/iotm.0001.1900089

Cited by 43 publications

(32 citation statements)

References 7 publications

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“…We repeated this test several times and we obtained different values (between 11 and 14), but we took the most frequent value which was 12.07. We did this at each input change (NbrR, NbrP = (5, 5); (5,10); (5,15); (5,20). We did not take the average of measurements, but we considered the most frequent value.…”

Section: Methodsmentioning

confidence: 99%

“…Bitcoin technology could refer to the most famous blockchain implementation that is created in 2008 by a person or group working under the pseudonym "Satoshi Nakamoto" [9]. In public cryptocurrencies and distributed ledger systems, the fundamental infrastructure of the blockchain is a peer-to-peer overlay network over the Internet [10]. Transactions represent the exchanges between users, and the recorded transactions are grouped together in blocks of size 1M at most.…”

Section: Consensus Protocol Overviewmentioning

confidence: 99%

“…Discussion: In the second scenario illustrated by Figure 4, we fixed NbrP to 10, and we made several tests, in each of them increasing the number of rounds (NbrR = 5,10,15,20) to study the effect of this increase and its influence on the gain. These tests have shown that the more NbrR increases, the more the gain increases but not absolutely.…”

Section: Lemma 2 If Nbrp Increases Then Gain Increases When Nbrp = Nbrsmentioning

confidence: 99%

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A Compute and Wait in PoW (CW-PoW) Consensus Algorithm for Preserving Energy Consumption

et al. 2021

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Several trusted tasks use consensus algorithms to solve agreement challenges. Usually, consensus agreements are used to ensure data integrity and reliability in untrusted environments. In many distributed networking fields, the Proof of Work (PoW) consensus algorithm is commonly used. However, the standard PoW mechanism has two main limitations, where the first is the high power consumption and the second is the 51% attack vulnerability. In this paper, we look to improve the PoW consensus protocol by introducing several proof rounds. Any given consensus node should resolve the game of the current round Roundi before participating in the next round Roundi+1. Any node that resolves the game of Roundi can only pass to the next round if a predetermined number of solutions has been found by other nodes. The obtained evaluation results of this technique show significant improvements in terms of energy consumption and robustness against the 51% and Sybil attacks. By fixing the number of processes, we obtained an energy gain rate of 15.63% with five rounds and a gain rate of 19.91% with ten rounds.

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Section: Methodsmentioning

confidence: 99%

Section: Consensus Protocol Overviewmentioning

confidence: 99%

Section: Lemma 2 If Nbrp Increases Then Gain Increases When Nbrp = Nbrsmentioning

confidence: 99%

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A Compute and Wait in PoW (CW-PoW) Consensus Algorithm for Preserving Energy Consumption

et al. 2021

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“…The work in this article is mainly focused on perception layer (sensing layer or device layer). There are three types of TM at perception layer of IIoT CPS systems, namely, distributed, semidistributed, and BC based TM 42,43 …”

Section: Background and Related Workmentioning

confidence: 99%

DBTP2SF: A deep blockchain‐based trustworthy privacy‐preserving secured framework in industrial internet of things systems

Kumar

Tripathi

2021

Trans Emerging Tel Tech

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By providing ubiquitous connectivity, effective data analytics tools, and better decision support systems for improved market competitiveness, the industrial internet of things (IIoT) promises creative business models in different industrial domains. However, the conventional IIoT architecture can no longer provide adequate support for such an enormous device as the number of nodes, and network size increases. Therefore, several challenges, such as security, privacy, centralization, trust, and integrity prevents faster adaptation of IIoT applications. To address aforementioned challenges, we present a deep blockchain‐based trustworthy privacy‐preserving secured framework (DBTP2SF) for IIoT environment. This framework comprises of three modules, namely, trust management module, a two‐level privacy‐preservation module, and an anomaly detection module. In trustworthiness module, blockchain (BC)‐based address reputation system is proposed. In the two‐level privacy module a BC‐based enhanced proof of work technique is simultaneously applied with AutoEncoder, to transform cyber‐physical system data into a new reduced form that prevents inference and poisoning attacks. In the anomaly detection module, deep neural network is deployed. Finally, due to various limitations of current Cloud‐Fog infrastructure, we present a BC‐interplanetary file systems integrated Cloud‐Fog architecture, namely, BlockCloud and BlockFog to deploy proposed DBTP2SF framework in IIoT environment. The experiment is conducted using IIoT‐based realistic dataset, namely, ToN‐IoT. The performance analysis shows that the proposed approach outperforms using transformed dataset over peer privacy‐preserving intrusion detection strategies, and has obtained accuracy of 98.97%, and detection rate of 93.87%. Finally, we have shown the superiority of DBTP2SF framework over some of the recent state‐of‐art techniques in both non‐BC and BC‐based IIoT system.

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“…Rathi et al proposed a Blockchain-enabled multi-domain orchestrator at the edge of the network [18]. The objectives of this approach are the automated orchestration of network slices over heterogeneous networks and the Service Level Agreement (SLA) assessment for 5G services using smart contracts.…”

Section: Related Workmentioning

confidence: 99%

On Blockchain-Based Cross-Service Communication and Resource Orchestration on Edge Clouds

Papadakis-Vlachopapadopoulos

Dimolitsas

Dechouniotis

et al. 2021

Informatics

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With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge clouds relies on the concept of network slicing, which provides logically isolated computing and network resources. However, though there is significant progress on the automation of the resource orchestration within a single cloud or edge cloud datacenter, the orchestration of multi-domain infrastructure or multi-administrative domain is still an open challenge. Towards exploiting the network service marketplace at its full capacity, while being aligned with ETSI Network Function Virtualization architecture, this article proposes a novel Blockchain-based service orchestrator that leverages the automation capabilities of smart contracts to establish cross-service communication between network slices of different tenants. In particular, we introduce a multi-tier architecture of a Blockchain-based network marketplace, and design the lifecycle of the cross-service orchestration. For the evaluation of the proposed approach, we set up cross-service communication in an edge cloud and we demonstrate that the orchestration overhead is less than other cross-service solutions.

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A Blockchain-Enabled Multi Domain Edge Computing Orchestrator

Cited by 43 publications

References 7 publications

A Compute and Wait in PoW (CW-PoW) Consensus Algorithm for Preserving Energy Consumption

A Compute and Wait in PoW (CW-PoW) Consensus Algorithm for Preserving Energy Consumption

DBTP2SF: A deep blockchain‐based trustworthy privacy‐preserving secured framework in industrial internet of things systems

On Blockchain-Based Cross-Service Communication and Resource Orchestration on Edge Clouds

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