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Modern business applications and scientific databases call for inherently dynamic data storage environments. Such environments are characterized by two challenging features: (a) they have little idle system time to devote on physical…

Databases · Computer Science 2012-03-02 Felix Halim , Stratos Idreos , Panagiotis Karras , Roland H. C. Yap

The evolution of Large Language Model (LLM) serving towards complex, distributed architectures--specifically the P/D-separated, large-scale DP+EP paradigm--introduces distinct scheduling challenges. Unlike traditional deployments where…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-19 Jian Tian , Shuailong Li , Yang Cao , Wenbo Cui , Minghan Zhu , Wenkang Wu , Jianming Zhang , Yanpeng Wang , Zhiwen Xiao , Zhenyu Hou , Dou Shen

Scalable ordered maps must ensure that range queries, which operate over many consecutive keys, provide intuitive semantics (e.g., linearizability) without degrading the performance of concurrent insertions and removals. These goals are…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-11 Matthew Rodriguez , Vitaly Aksenov , Michael Spear

We present OrbitCache, a new in-network caching architecture that can cache variable-length items to balance a wide range of key-value workloads. Unlike existing works, OrbitCache does not cache hot items in the switch memory. Instead, we…

Networking and Internet Architecture · Computer Science 2024-12-12 Gyuyeong Kim

The storage stack in the traditional operating system is primarily optimized towards improving the CPU utilization and hiding the long I/O latency imposed by the slow I/O devices such as hard disk drivers (HDDs). However, the emerging…

Operating Systems · Computer Science 2023-06-21 Junzhe Li , Xiurui Pan , Shushu Yi , Jie Zhang

In recent years, information retrieval algorithms have taken center stage for extracting important data in ever larger datasets. Advances in hardware technology have lead to the increasingly wide spread use of flash storage devices. Such…

Databases · Computer Science 2012-11-20 Tyler Clemons , S. M. Faisal , Shirish Tatikonda , Charu Aggarawl , Srinivasan Parthasarathy

Powerful abstractions such as dataframes are only as efficient as their underlying runtime system. The de-facto distributed data processing framework, Apache Spark, is poorly suited for the modern cloud-based data-science workloads due to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-09 Alexandru Uta , Bogdan Ghit , Ankur Dave , Jan Rellermeyer , Peter Boncz

Hash tables are one of the most fundamental data structures in computer science, in both theory and practice. They are especially useful in external memory, where their query performance approaches the ideal cost of just one disk access.…

Data Structures and Algorithms · Computer Science 2008-11-20 Zhewei Wei , Ke Yi , Qin Zhang

Caches are widely used to improve performance in modern processors. By carefully evicting cache lines and identifying cache hit/miss time, contention-based cache timing channel attacks can be orchestrated to leak information from the victim…

Cryptography and Security · Computer Science 2024-10-28 Tuo Li , Sri Parameswaran

This paper introduces a novel disk array architecture, designated RAID-0e (Resilient Striping Array), designed to superimpose a low-overhead fault tolerance layer upon traditional RAID 0 (striping). By employing a logically and physically…

Computational Engineering, Finance, and Science · Computer Science 2026-01-08 Yanzhao Jia , Zhaobo Wu , Zheyi Cao , Shihao Ji , Xu Tianhao , Zihui Song

Conventional object-stores are built on top of traditional OS storage stack, where I/O requests typically transfers through multiple hefty and redundant layers. The complexity of object management has grown dramatically with the ever…

Databases · Computer Science 2022-07-08 Pratik Mishra , Rekha Pitchumani , Yang Suk Kee

The convergence of high-performance computing (HPC) and artificial intelligence (AI) is driving the emergence of increasingly complex parallel applications and workloads. These workloads often combine multiple parallel runtimes within the…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-29 Aleix Roca , Vicenç Beltran

Flash memory is a non-volatile computer memory comprised of blocks of cells, wherein each cell is implemented as either NAND or NOR floating gate. NAND flash is currently the most widely used type of flash memory. In a NAND flash memory,…

Information Theory · Computer Science 2009-11-23 Anxiao , Jiang , Robert Mateescu , Eitan Yaakobi , Jehoshua Bruck , Paul H. Siegel , Alexander Vardy , Jack K. Wolf

Data redundancy provides resilience in large-scale storage clusters, but imposes significant cost overhead. Substantial space-savings can be realized by tuning redundancy schemes to observed disk failure rates. However, prior design…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-03-16 Saurabh Kadekodi , Francisco Maturana , Suhas Jayaram Subramanya , Juncheng Yang , K. V. Rashmi , Gregory R. Ganger

Traditional executable delivery models pose challenges for IoT devices with limited storage, necessitating the download of complete executables and dependencies. Network solutions like NFS, designed for data files, encounter high IO…

Networking and Internet Architecture · Computer Science 2023-12-11 Jun Lu , Zhenya Ma , Yinggang Gao , Ju Ren , Yaoxue Zhang

With the advent of virtualization technology, cloud computing realizes on-demand computing. The capability of dynamic resource provisioning is a fundamental driving factor for users to adopt the cloud technology. The aspect is important for…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-04-24 Moo-Ryong Ra , Hee Won Lee

The aim of this paper is to examine and demonstrate how integer-based datetime labels (integer surrogate keys for time) can optimize data-warehouse and time-series performance, proposing practical formats and algorithms and validating their…

Databases · Computer Science 2025-11-19 Sviatoslav Stumpf , Vladislav Povyshev

Considering asynchronous shared memory systems in which any number of processes may crash, this work identifies and formally defines relaxations of queues and stacks that can be non-blocking or wait-free while being implemented using only…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-05 Armando Castañeda , Sergio Rajsbaum , Michel Raynal

Block-STM is a parallel execution engine for smart contracts, built around the principles of Software Transactional Memory. Transactions are grouped in blocks, and every execution of the block must yield the same deterministic outcome.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-29 Rati Gelashvili , Alexander Spiegelman , Zhuolun Xiang , George Danezis , Zekun Li , Dahlia Malkhi , Yu Xia , Runtian Zhou

In this paper, we propose an Efficient Two-Level I/O Caching Architecture (ETICA) for virtualized platforms that can significantly improve I/O latency, endurance, and cost (in terms of cache size) while preserving the reliability of…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-15 Saba Ahmadian , Reza Salkhordeh , Onur Mutlu , Hossein Asadi
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