Immutable Log Storage as a Service on Private and Public Blockchains

Pourmajidi, William; Zhang, Lei; Steinbacher, John; Erwin, Tony; Miranskyy, Andriy

doi:10.1109/tsc.2021.3120690

Cited by 11 publications

(3 citation statements)

References 25 publications

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“…Additionally, studies delve into unveiling patterns in semi-supervised classification of strip surface defects [29] and applying large language models for forecasting and anomaly detection [30]. Moreover, research explores the evolution of Everything as a Service (XaaS) on the cloud [31], approximate performance evaluation for multi-core computers [32], and immutable log storage as a service on private and public blockchains [33]. These studies reflect the multifaceted nature of technological advancements, highlighting areas where LLM's expertise could offer valuable insights and contributions.…”

Section: Discussionmentioning

confidence: 99%

Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization

Luo,

Wei,

et al. 2024

JTPES

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E-commerce chatbots play a crucial role in customer service but often struggle with understanding complex queries. This study introduces a breakthrough approach leveraging the Falcon-7B model, a state-of-the-art Large Language Model (LLM) with 7 billion parameters. Trained on a vast dataset of 1,500 billion tokens from RefinedWeb and curated corpora, the Falcon-7B model excels in natural language understanding and generation. Notably, its 16-bit full quantization transformer ensures efficient computation without compromising scalability or performance. By harnessing cutting-edge machine learning techniques, our method aims to redefine e-commerce chatbot systems, providing businesses with a robust solution for delivering personalized customer experiences.

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Section: Discussionmentioning

confidence: 99%

Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization

Luo,

Wei,

et al. 2024

JTPES

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“…In these works, we have recommended using Blockchain as a tamper-proof storage option for logs and other evidential documents [106]. However, blockchains are expensive storage solutions [107], [108], and practitioners may find them unfeasible for high-volume data storage. To address this in-feasibility, CSPs have designed and implemented a special type of Cloud storage known as Write Once, Read Many (WORM) 1 .…”

Section: Desired Components For Observability and Compliance Of Cloud...mentioning

confidence: 99%

A Reference Architecture for Observability and Compliance of Cloud Native Applications

Pourmajidi¹,

Zhang²,

Steinbacher³

et al. 2023

Preprint

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The evolution of Cloud computing led to a novel breed of applications known as Cloud-Native Applications (CNAs). However, observing and monitoring these applications can be challenging, especially if a CNA is bound by compliance requirements.To address this challenge, we explore the characteristics of CNAs and how they affect CNAs' observability and compliance. We then construct a reference architecture for observability and compliance pipelines for CNAs. Furthermore, we sketch instances of this reference architecture for single-and multi-cloud deployments.The proposed architecture embeds observability and compliance into the CNA architecture and adopts a "battery-included" mindset. This architecture can be applied to small and large CNA deployments in regulated and non-regulated industries. It allows Cloud practitioners to focus on what is critical, namely building their products, without being burdened by observability and compliance requirements. This work may also interest academics as it provides a building block for generic CNA architectures.

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“…A distinctive feature of BlockStock is its ability to record all transactions on the blockchain, ensuring transparency. Furthermore, the system incorporates regular and automated audits performed by the entire network, facilitated by recoverability proofs (Pourmajidi et al, 2023). This dual approach not only optimizes storage efficiency but also enhances security and accountability within the blockchain ecosystem (Jerbi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Blockchain-Based Data Storage for Internet of Things Networks

Jerbi,

Cheikhrouhou,

Guermazi

et al. 2024

International Journal of Business Data Communications and Networking

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Consensus mechanisms are fundamental to blockchain technology, ensuring network integrity and the orderly progression of transactions. However, the predominant proof of work method, while widely adopted, has raised concerns regarding its energy-intensive nature and lack of scalability. In response, this research explores alternative consensus methods tailored to participants' engagement in blockchain storage activities. We conducted a comprehensive review of existing approaches, examining their reusability and efficacy. Concurrently, we observed a growing demand for distributed storage solutions driven by escalating data volumes. Our investigation identified areas for improvement in existing storage blockchains, motivating the development of our own system, BlockStock. This protocol, meticulously designed, aims to enhance intelligent data storage management reliably and robustly. Through rigorous performance evaluations, including assessments of power consumption, throughput, and data transfer times, BlockStock demonstrates superior efficacy and cost-effectiveness. These findings underscore its significance as a notable advancement in blockchain-based storage solutions, offering a promising avenue for future research and application.

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Immutable Log Storage as a Service on Private and Public Blockchains

Cited by 11 publications

References 25 publications

Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization

Enhancing E-commerce Chatbots with Falcon-7B and 16-bit Full Quantization

A Reference Architecture for Observability and Compliance of Cloud Native Applications

Blockchain-Based Data Storage for Internet of Things Networks

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