Fractal: An advanced multidimensional range query lookup protocol on nested rings for distributed systems

Kargar, Saeed; Khanli, Leyli Mohammad

doi:10.1016/j.jnca.2017.03.021

Cited by 6 publications

(3 citation statements)

References 73 publications

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“…NVMs promise to be an indispensable part of future memory systems due to their unique characteristics such as non volatility, byte addressability, high density, high scalability, and requiring near-zero standby power. They can revolutionize the performance, energy efficiency, and processing footprint of existing systems from storage systems to edge and cloud environments to distributed database systems and blockchain decentralized applications [5,[58][59][60][61][62][63]. However, their main limitations, especially limited write endurance and high write energy consumption, pose serious challenges for their full adoption, which needs to be taken into consideration to leverage their full potential.…”

Section: Discussionmentioning

confidence: 99%

Challenges and future directions for Energy, Latency, and Lifetime Improvements in NVMs

Kargar

Nawab

2022

Preprint

Self Cite

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Recently, Non-Volatile Memory (NVM) technology has revolutionized the landscape of memory systems. With many advantages, such as non volatility and near zero standby power consumption, these byte-addressable memory technologies are taking the place of DRAMs. Nonetheless, they also present some limitations, such as limited write endurance, which hinders their widespread use in today’s systems. Furthermore, adjusting current data management systems to embrace these new memory technologies and all their potential is proving to be a nontrivial task. Because of this, a substantial amount of research has been done, from both the database community and the storage systems community, that tries to improve various aspects of NVMs to integrate these technologies into the memory hierarchy. In this tutorial we survey state-of-the-art work on deploying NVMs in database and storage systems communities and the ways their limitations are being handled within these communities. In particular, we focus on the challenges that are related to high energy consumption, low write endurance and extending the lifetime of NVM devices.

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Section: Discussionmentioning

confidence: 99%

Challenges and future directions for Energy, Latency, and Lifetime Improvements in NVMs

Kargar

Nawab

2022

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…NVMs promise to be an indispensable part of future memory systems due to their unique characteristics such as non volatility, byte addressability, high density, high scalability, and requiring near-zero standby power. They can revolutionize the performance, energy efficiency, and processing footprint of existing systems from storage systems to edge and cloud environments to distributed database systems and blockchain decentralized applications [5,[122][123][124][125][126][127]. However, their main limitations, especially limited write endurance and high write energy consumption, pose serious challenges for their full adoption, which needs to be taken into consideration to leverage their full potential.…”

Section: Discussionmentioning

confidence: 99%

Challenges and future directions for energy, latency, and lifetime improvements in NVMs

Kargar

Nawab

2022

Distrib Parallel Databases

Self Cite

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Recently, non-volatile memory (NVM) technology has revolutionized the landscape of memory systems. With many advantages, such as non volatility and near zero standby power consumption, these byte-addressable memory technologies are taking the place of DRAMs. Nonetheless, they also present some limitations, such as limited write endurance, which hinders their widespread use in today’s systems. Furthermore, adjusting current data management systems to embrace these new memory technologies and all their potential is proving to be a nontrivial task. Because of this, a substantial amount of research has been done, from both the database community and the storage systems community, that tries to improve various aspects of NVMs to integrate these technologies into the memory hierarchy. In this work, which is the extended version of Kargar and Nawab (Proc. VLDB Endowment 14(12):3194–3197, 2021), we explore state-of-the-art work on deploying NVMs in database and storage systems communities and the ways their limitations are being handled within these communities. In particular, we focus on (1) the challenges that are related to high energy consumption, low write endurance and asymmetric read/write costs and (2) how these challenges can be solved using hardware and software solutions, especially by reducing the number of bit flips in write operations. We believe that this area has not gained enough attention in the data management community and this tutorial will provide information on how to integrate recent advances from the NVM storage community into existing and future data management systems.

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“…In physics, fractals model numerous phenomena, including the mass distribution in the universe, plant growth, and fluid flow. Computer science employs fractals to create computer graphics and design algorithms for solving complex problems [43,44]. Engineering utilizes fractals in designing antennas and other structures that work effectively across a broad range of frequencies.…”

Section: Fractals and The Meta-metaversementioning

confidence: 99%

The Meta-Metaverse: Ideation and Future Directions

Jamshidi,

Dehghaniyan Serej,

Jamshidi

et al. 2023

Future Internet

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In the era of digitalization and artificial intelligence (AI), the utilization of Metaverse technology has become increasingly crucial. As the world becomes more digitized, there is a pressing need to effectively transfer real-world assets into the digital realm and establish meaningful relationships between them. However, existing approaches have shown significant limitations in achieving this goal comprehensively. To address this, this research introduces an innovative methodology called the Meta-Metaverse, which aims to enhance the immersive experience and create realistic digital twins across various domains such as biology, genetics, economy, medicine, environment, gaming, digital twins, Internet of Things, artificial intelligence, machine learning, psychology, supply chain, social networking, smart manufacturing, and politics. The multi-layered structure of Metaverse platforms and digital twins allows for greater flexibility and scalability, offering valuable insights into the potential impact of advancing science, technology, and the internet. This article presents a detailed description of the proposed methodology and its applications, highlighting its potential to transform scientific research and inspire groundbreaking ideas in science, medicine, and technology.

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Fractal: An advanced multidimensional range query lookup protocol on nested rings for distributed systems

Cited by 6 publications

References 73 publications

Challenges and future directions for Energy, Latency, and Lifetime Improvements in NVMs

Challenges and future directions for Energy, Latency, and Lifetime Improvements in NVMs

Challenges and future directions for energy, latency, and lifetime improvements in NVMs

The Meta-Metaverse: Ideation and Future Directions

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