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As a core component in modern data centers, key-value cache provides high-throughput and low-latency services for high-speed data processing. The effectiveness of a key-value cache relies on its ability of accommodating the needed data.…

数据库 · 计算机科学 2024-12-13 Rui Xie , Linsen Ma , Alex Zhong , Feng Chen , Tong Zhang

Virtualization is an emerging and optimistic prospect in the IT industry. Its impact has a footprint widely in digital infrastructure. Many innovativeness sectors utilized the concept of virtualization to reduce the cost of frameworks. In…

网络与互联网体系结构 · 计算机科学 2020-06-26 Abdul Ahad Abro , Ufaque Shaikh

Modern applications span multiple clouds to reduce costs, avoid vendor lock-in, and leverage low-availability resources in another cloud. However, standard object stores operate within a single cloud, forcing users to manually manage data…

Cloud Computing has been envisioned as the next generation architecture of IT Enterprise. The Cloud computing concept offers dynamically scalable resources provisioned as a service over the Internet. Economic benefits are the main driver…

分布式、并行与集群计算 · 计算机科学 2013-11-01 Geethu Thomas , Prem Jose , P. Afsar

The byte-addressable Non-Volatile Memory (NVM) is a promising technology since it simultaneously provides DRAM-like performance, disk-like capacity, and persistency. The current NVM deployment is symmetric, where NVM devices are directly…

分布式、并行与集群计算 · 计算机科学 2019-01-31 Teng Ma , Mingxing Zhang , Kang Chen , Xuehai Qian , Yongwei Wu

Cloud computing is recognized as one of the most promising solutions to information technology, e.g., for storing and sharing data in the web service which is sustained by a company or third party instead of storing data in a hard drive or…

分布式、并行与集群计算 · 计算机科学 2018-12-14 A. Roy , A. P. Misra , S. Banerjee

Distributed machine learning systems require strong privacy guarantees, verifiable compliance, and scalable deployment across heterogeneous and multi-cloud environments. This work introduces a cloud-native privacy-preserving architecture…

Current approaches to designing energy-efficient applications typically rely on measuring individual components using readily available local metrics, like CPU utilization. However, these metrics fall short when applied to cloud-native…

软件工程 · 计算机科学 2025-03-12 Sebastian Werner , Maria C. Borges , Karl Wolf , Stefan Tai

Cache-coherent non-uniform memory access (ccNUMA) systems enable parallel applications to scale-up to thousands of cores and many terabytes of main memory. However, since remote accesses come at an increased cost, extra measures are…

分布式、并行与集群计算 · 计算机科学 2021-11-24 Daniel J. Blueman , Foivos Zakkak , Christos Kotselidis

This paper addresses the impact of Virtual Memory Streaming (VMS) technique in provisioning virtual machines (VMs) in cloud environment. VMS is a scaling virtualization technology that allows different virtual machines rapid scale, high…

分布式、并行与集群计算 · 计算机科学 2014-06-24 A B M Moniruzzaman , Kawser Wazed Nafi , Syed Akther Hossain

There is a dynamic escalation and extension in the new infrastructure, educating personnel and licensing new computer programs in the field of IT, due to the emergence of Cloud Computing (CC) paradigm. It has become a quick growing segment…

密码学与安全 · 计算机科学 2017-02-24 M. Omer Mushtaq , Furrakh Shahzad , M. Owais Tariq , Mahina Riaz , Bushra Majeed

Cloud computing providers have setup several data centers at different geographical locations over the Internet in order to optimally serve needs of their customers around the world. However, existing systems do not support mechanisms and…

分布式、并行与集群计算 · 计算机科学 2010-03-23 Rajkumar Buyya , Rajiv Ranjan , Rodrigo N. Calheiros

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture, accessible…

密码学与安全 · 计算机科学 2015-06-04 Rohit Bhadauria , Sugata Sanyal

Increased complexity of network-based software solutions and the ever-rising number of concurrent users forced a shift of the IT industry to cloud computing. Conventional network software systems commonly based on monolithic application…

分布式、并行与集群计算 · 计算机科学 2022-01-31 M. Sipek , D. Muharemagic , B. Mihaljevic , A. Radovan

The traditional cloud-centric approach for Deep Learning (DL) requires training data to be collected and processed at a central server which is often challenging in privacy-sensitive domains like healthcare. Towards this, a new learning…

密码学与安全 · 计算机科学 2021-11-08 Andreas Grafberger , Mohak Chadha , Anshul Jindal , Jianfeng Gu , Michael Gerndt

Non-volatile memory (NVM) provides a scalable and power-efficient solution to replace DRAM as main memory. However, because of relatively high latency and low bandwidth of NVM, NVM is often paired with DRAM to build a heterogeneous memory…

分布式、并行与集群计算 · 计算机科学 2017-05-03 Kai Wu , Yingchao Huang , Dong Li

Hyper-converged cloud refers to an architecture that an operator runs compute and storage services on the same set of physical servers. Although the hyper-converged design comes with a number of benefits, it makes crucial operational tasks,…

分布式、并行与集群计算 · 计算机科学 2018-02-23 Moo-Ryong Ra

Nowadays cloud computing adoption as a form of hosted application and services is widespread due to decreasing costs of hardware, software, and maintenance. Cloud enables access to a shared pool of virtual resources hosted in large…

分布式、并行与集群计算 · 计算机科学 2021-07-14 Niloofar Gholipour , Ehsan Arianyan , Rajkumar Buyya

With the advent of quantum computing, the increasing threats to security poses a great challenge to communication networks. Recent innovations in this field resulted in promising technologies such as Quantum Key Distribution (QKD), which…

网络与互联网体系结构 · 计算机科学 2025-12-16 Ane Sanz , Asier Atutxa , David Franco , Jasone Astorga , Eduardo Jacob , Diego López

We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer that optimizes the data placement tier (on the cloud) and the…