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The growing volume of graph data may exhaust the main memory. It is crucial to design a disk-based graph storage system to ingest updates and analyze graphs efficiently. However, existing dynamic graph storage systems suffer from read or…

The metadata service (MDS) sits on the critical path for distributed file system (DFS) operations, and therefore it is key to the overall performance of a large-scale DFS. Common "serverful" MDS architectures, such as a single server or…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-22 Benjamin Carver , Runzhou Han , Jingyaun Zhang , Mai Zheng , Yue Cheng

The growing scale of data requires efficient memory subsystems with large memory capacity and high memory performance. Disaggregated architecture has become a promising solution for today's cloud and edge computing for its scalability and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-28 Jing Wang , Chao Li , Taolei Wang , Jinyang Guo , Hanzhang Yang , Yiming Zhuansun , Minyi Guo

Chattering phenomena is the major problem affecting sliding mode control (SMC). Also, finding a suitable structure and appropriate parameters values of fuzzy logic system (FLS) is a complex and difficult task. In addition, the stability of…

Robotics · Computer Science 2019-10-29 Mukhtar Fatihu Hamza , Abdulbasid Ismail Isa , Jamilu Kamilu Adamu

As continuous learning based video analytics continue to evolve, the role of efficient edge servers in efficiently managing vast and dynamic datasets is becoming increasingly crucial. Unlike their compute architecture, storage and archival…

Hardware Architecture · Computer Science 2024-10-10 Cyan Subhra Mishra , Deeksha Chaudhary , Jack Sampson , Mahmut Taylan Knademir , Chita Das

Edge computing enables data processing and storage closer to where the data are created. Given the largely distributed compute environment and the significantly dispersed data distribution, there are increasing demands of data sharing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-06-05 Zheng Li , Diego Seco , José Fuentes-Sepúlveda

3D NAND flash memory with advanced multi-level cell techniques provides high storage density, but suffers from significant performance degradation due to a large number of read-retry operations. Although the read-retry mechanism is…

Hardware Architecture · Computer Science 2021-03-15 Jisung Park , Myungsuk Kim , Myoungjun Chun , Lois Orosa , Jihong Kim , Onur Mutlu

This extended report presents DDS, a novel disaggregated storage architecture enabled by emerging networking hardware, namely DPUs (Data Processing Units). DPUs can optimize the latency and CPU consumption of disaggregated storage servers.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-29 Qizhen Zhang , Philip Bernstein , Badrish Chandramouli , Jiasheng Hu , Yiming Zheng

Scientific applications in HPC environment are more com-plex and more data-intensive nowadays. Scientists usually rely on workflow system to manage the complexity: simply define multiple processing steps into a single script and let the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-05-17 Dong Dai , Robert Ross , Dounia Khaldi , Yonghong Yan , Matthieu Dorier , Neda Tavakoli , Yong Chen

This paper summarizes the idea of Tiered-Latency DRAM, which was published in HPCA 2013. The key goal of TL-DRAM is to provide low DRAM latency at low cost, a critical problem in modern memory systems. To this end, TL-DRAM introduces…

Hardware Architecture · Computer Science 2016-01-27 Donghyuk Lee , Yoongu Kim , Vivek Seshadri , Jamie Liu , Lavanya Subramanian , Onur Mutlu

For a write request, today flash storage cannot distinguish the logical object it comes from. In such object-oblivious flash devices, concurrent writes from different objects are simply packed in their arrival order to flash memory blocks;…

Databases · Computer Science 2022-01-13 Jong-Hyeok Park , Gihwan Oh , Sang-Won Lee

In this paper, we present a survey of "on-disk" data processing (ODDP). ODDP, which is a form of near-data processing, refers to the computing arrangement where the secondary storage drives have the data processing capability. Proposed ODDP…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-09-11 Mayank Mishra , Arun K. Somani

3D NAND flash memory with advanced multi-level cell techniques provides high storage density, but suffers from significant performance degradation due to a large number of read-retry operations. Although the read-retry mechanism is…

Hardware Architecture · Computer Science 2021-04-21 Jisung Park , Myungsuk Kim , Myoungjun Chun , Lois Orosa , Jihong Kim , Onur Mutlu

The Cloud has become a new Information Technology(IT) model for delivering resources such as computing and storage to customers on demand, it provides both high flexibility and resources use. However we are gaining these advantages at the…

Cryptography and Security · Computer Science 2019-01-10 Oussama Arki , Abdelhafid Zitouni

Understanding the performance profiles of storage devices and how best to utilize them has always been non-trivial due to factors such as seek times, caching, scheduling, concurrent access, flash wear-out, and garbage collection. However,…

Data Structures and Algorithms · Computer Science 2025-07-10 Erin Ransom , Andrew Lim , Michael Mitzenmacher

We live in a data-centric world where we are heading to generate close to 200 Zettabytes of data by the year 2025. Our data processing requirements have also increased as we push to build data processing frameworks that can process large…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-21 Corne Lukken , Animesh Trivedi

Main memory database systems aim to provide users with low latency and high throughput access to data. Most data resides in secondary storage, which is limited by the access speed of the technology. For hot content, data resides in DRAM,…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-29 Francisco Romero , Benjamin Braun , David Cheriton

Data compression is widely adopted for modern solid-state drives (SSDs) to mitigate both storage capacity and SSD lifetime issues. Researchers have proposed compression schemes at different system layers, including device-side solutions…

Performance · Computer Science 2025-09-09 Dingcui Yu , Yunpeng Song , Yiyang Huang , Yumiao Zhao , Yina Lv , Chundong Wang , Youtao Zhang , Liang Shi

Spin-Transfer Torque RAM (STT-RAM) is widely considered a promising alternative to SRAM in the memory hierarchy due to STT-RAM's non-volatility, low leakage power, high density, and fast read speed. The STT-RAM's small feature size is…

Hardware Architecture · Computer Science 2019-08-12 Kyle Kuan , Tosiron Adegbija

Zoned Namespace SSDs (ZNS) are introduced recently to mitigate the block interface penalties of flash-based SSDs. It is a good opportunity for flash cache to address cache throughput and write amplification (WA) issues by fully controlling…

Performance · Computer Science 2024-10-16 Chongzhuo Yang , Chang Guo , Ming Zhao , Zhichao Cao
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