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This paper presents C8s, a confidential computing architecture for Kubernetes that provides cryptographically rooted confidentiality, integrity, and verifiability guarantees for Kubernetes clusters from infrastructure operators. These…

密码学与安全 · 计算机科学 2026-05-01 Amean Asad , Patrick McClurg , João Andrade

Recent developments in large language models (LLMs) have demonstrated their remarkable proficiency in a range of tasks. Compared to in-house homogeneous GPU clusters, deploying LLMs in cloud environments with diverse types of GPUs is…

分布式、并行与集群计算 · 计算机科学 2025-11-07 Youhe Jiang , Fangcheng Fu , Xiaozhe Yao , Taiyi Wang , Bin Cui , Ana Klimovic , Eiko Yoneki

Retrieval-Augmented Generation (RAG) and agentic AI systems are increasingly prevalent in enterprise AI deployments. However, real enterprise environments introduce challenges largely absent from academic treatments and consumer-facing…

密码学与安全 · 计算机科学 2026-05-08 Francisco Javier Arceo , Varsha Prasad Narsing

Deploying complex, distributed scientific workflows across diverse HPC sites is often hindered by site-specific dependencies and complex build environments. This paper investigates the design and performance of portable HPC container images…

分布式、并行与集群计算 · 计算机科学 2026-03-13 Krishna Kant Singh , Eric Müller , Eleni Mathioulaki , Wouter Klijn , Lena Oden

Analyzing and working with big data could be very diffi cult using classical means like relational database management systems or desktop software packages for statistics and visualization. Instead, big data requires large clusters with…

分布式、并行与集群计算 · 计算机科学 2018-02-09 Bogdan Oancea , Raluca Mariana Dragoescu

An increasing volume of studies utilize geocomputation methods in large spatial data. There is a bottleneck in scalable computation for general scientific use as the existing solutions require high-performance computing domain knowledge and…

分布式、并行与集群计算 · 计算机科学 2025-03-06 Insang Song , Kyle P. Messier

Modern cloud servers routinely co-locate multiple latency-sensitive microservice instances to improve resource efficiency. However, the diversity of microservice behaviors, coupled with mutual performance interference under simultaneous…

分布式、并行与集群计算 · 计算机科学 2026-03-02 Dingyu Yang , Fanyong Kong , Jie Dai , Shiyou Qian , Shuangwei Li , Jian Cao , Guangtao Xue , Gang Chen

Serverless computing offers attractive scalability, elasticity and cost-effectiveness. However, constraints on memory, CPU and function runtime have hindered its adoption for data-intensive applications and machine learning (ML) workloads.…

分布式、并行与集群计算 · 计算机科学 2024-03-25 Joe Oakley , Hakan Ferhatosmanoglu

We present memshare\footnote{The Software package is published as a CRAN package under https://CRAN.R-project.org/package=memshare, a package that enables shared memory multicore computation in R by allocating buffers in C++ shared memory…

性能 · 计算机科学 2026-04-08 Michael C. Thrun , Julian Märte

Network management on multi-tenant container-based data centers has critical impact on performance. Tenants encapsulate applications in containers abstracting away details on hosting infrastructures, and entrust data centers management…

分布式、并行与集群计算 · 计算机科学 2019-09-18 Leonardo R. Rodrigues , Marcelo Pasin , Omir C. Alves , Charles C. Miers , Mauricio A. Pillon , Pascal Felber , Guilherme P. Koslovski

This paper focuses on developing a Flutter application for controlling Docker resources remotely. The application provides a user-friendly interface for executing various Docker-related commands on the server where the Docker engine is…

Modern enterprises rely on data management systems to collect, store, and analyze vast amounts of data related with their operations. Nowadays, clusters and hardware accelerators (e.g., GPUs, TPUs) have become a necessity to scale with the…

数据库 · 计算机科学 2023-11-28 Kristalys Ruiz-Rohena , Manuel Rodriguez-Martinez

Solving the software dependency issue under the HPC environment has always been a difficult task for both computing system administrators and application scientists. This work would like to tackle the issue by introducing the modern…

分布式、并行与集群计算 · 计算机科学 2015-09-29 Hsi-En Yu , Weicheng Huang

This paper introduces a microservices architecture for the purpose of enhancing the flexibility and performance of an airline reservation system. The architectural design incorporates Redis cache technologies, two different messaging…

计算工程、金融与科学 · 计算机科学 2024-11-01 Biman Barua , M. Shamim Kaiser

Modern AI models are growing rapidly in size and redundancy, leading to significant storage and distribution challenges in model hubs. We present TStore, a tensor-centric system for reducing storage overhead through fine-grained…

分布式、并行与集群计算 · 计算机科学 2026-05-14 Tingfeng Lan , Zirui Wang , Yunjia Zheng , Zhaoyuan Su , Juncheng Yang , Yue Cheng

Business Intelligence (BI) has gained a new lease of life through Cloud computing as its demand for unlimited hardware and platform resources expandability is fulfilled by the Cloud elasticity features. BI can be seamlessly deployed on the…

分布式、并行与集群计算 · 计算机科学 2020-02-12 Hussain Al-Aqrabi , Lu Liu , Richard Hill , Nick Antonopoulos

Cloud computing has radically changed the way organisations operate their software by allowing them to achieve high availability of services at affordable cost. Containerized microservices is an enabling technology for this change, and…

The CMS experiment heavily relies on the CMSWEB cluster to host critical services for its operational needs. The cluster is deployed on virtual machines (VMs) from the CERN OpenStack cloud and is manually maintained by operators and…

分布式、并行与集群计算 · 计算机科学 2021-05-31 Muhammad Imran , Valentin Kuznetsov , Lina Marcella , Katarzyna Maria Dziedziniewicz-Wojcik , Andreas Pfeiffer , Panos Paparrigopoulos

Cloud native architecture is about building and running scalable microservice applications to take full advantage of the cloud environments. Managed Kubernetes is the powerhouse orchestrating cloud native applications with elastic scaling.…

分布式、并行与集群计算 · 计算机科学 2026-05-05 Chamath Wanigasooriya , Indrajith Ekanayake

The increasing adoption of Cloud storage poses a number of privacy issues. Users wish to preserve full control over their sensitive data and cannot accept that it to be accessible by the remote storage provider. Previous research was made…

密码学与安全 · 计算机科学 2015-03-30 Ernesto Damiani , Francesco Pagano , Davide Pagano