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Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected to share the observations. In this paper, we argue that only…

分布式、并行与集群计算 · 计算机科学 2013-11-19 Guoru Ding , Long Wang , Qihui Wu

The continuous increase in the availability of data of any kind, coupled with the development of networks of high-speed communications, the popularization of cloud computing and the growth of data centers and the emergence of…

人工智能 · 计算机科学 2016-09-20 Jose A. García Gutiérrez

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and…

分布式、并行与集群计算 · 计算机科学 2017-06-20 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

As storage systems become increasingly heterogeneous and complex, it adds burdens on DBAs, causing suboptimal performance even after a lot of human efforts have been made. In addition, existing monitoring-based storage management by access…

数据库 · 计算机科学 2012-07-03 Tian Luo , Rubao Lee , Michael Mesnier , Feng Chen , Xiaodong Zhang

Quantum computing and cloud computing are two giants for futuristic computing. Both technologies complement each other. Quantum clouds, therefore, is deploying the resources of quantum computation in a cloud environment to provide solution…

分布式、并行与集群计算 · 计算机科学 2014-10-27 Satish Bhambri

The Distributed object computing is a paradigm that allows objects to be distributed across a heterogeneous network, and allows each of the components to interoperate as a unified whole. A new generation of distributed applications, such as…

分布式、并行与集群计算 · 计算机科学 2011-02-18 Usha Batra , Deepak Dahiya , Sachin Bhardwaj

Converged computing brings together the best of both worlds for high performance computing (HPC) and cloud-native communities. In fact, the economic impact of cloud-computing, and need for portability, flexibility, and manageability make it…

分布式、并行与集群计算 · 计算机科学 2023-10-02 Vanessa Sochat , Aldo Culquicondor , Antonio Ojea , Daniel Milroy

In cloud computing environment, load balancing is a key issue which is required to distribute the dynamic workload over multiple machines to make certain that no single machine is overloaded. In recent research, many organizations lose…

分布式、并行与集群计算 · 计算机科学 2024-09-02 Chukwuneke Chiamaka Ijeoma , Inyiama , Hyacinth C. , Amaefule Samuel , Onyesolu Moses Okechukwu , Asogwa Doris Chinedu

With the emergence of new methodologies and technologies it has now become possible to manage large amounts of environmental sensing data and apply new integrated computing models to acquire information intelligence. This paper advocates…

分布式、并行与集群计算 · 计算机科学 2012-02-27 Zaheer Khan , David Ludlow , Richard McClatchey , Ashiq Anjum

The Cloud has become integral to most Internet-based applications and user gadgets. This article provides a brief history of the Cloud and presents a researcher's view of the prospects for innovating at the infrastructure, middleware, and…

The Future Internet is becoming a reality, providing a large-scale computing environments where a virtually infinite number of available services can be composed so to fit users' needs. Modern service-oriented applications will be more and…

软件工程 · 计算机科学 2015-12-25 Marco Autili , Amleto Di Salle , Alexander Perucci , Massimo Tivoli

In every form of digital store-and-forward communication, intermediate forwarding nodes are computers, with attendant memory and processing resources. This has inevitably stimulated efforts to create a wide-area infrastructure that goes…

分布式、并行与集群计算 · 计算机科学 2018-11-20 Micah Beck , Terry Moore , Piotr Luszczek , Anthony Danalis

Heterogeneous multi core processors can offer diverse computing capabilities. The efficiency of Market Basket Analysis Algorithm can be improved with heterogeneous multi core processors. Market basket analysis algorithm utilises apriori…

分布式、并行与集群计算 · 计算机科学 2014-09-24 Aashiha Priyadarshni. L

We define some of the programming and system-level challenges facing the application of quantum processing to high-performance computing. Alongside barriers to physical integration, prominent differences in the execution of quantum and…

量子物理 · 物理学 2017-12-06 Keith A. Britt , Fahd A. Mohiyaddin , Travis S. Humble

This paper presents CODECO, a federated orchestration framework for Kubernetes that addresses the limitations of cloud-centric deployment. CODECO adopts a data-compute-network co-orchestration approach to support heterogeneous…

Cloud computing is penetrating into various domains and environments, from theoretical computer science to economy, from marketing hype to educational curriculum and from R&D lab to enterprise IT infrastructure. Yet, the currently…

分布式、并行与集群计算 · 计算机科学 2010-10-26 Mikael Fernandus Simalango , Mun-Young Kang , Sangyoon Oh

Modern datacenters schedule heterogeneous workloads across geo-distributed sites with diverse compute capacities, electricity prices, and thermal conditions. Compute utilization, heat generation, cooling demand, and energy consumption are…

分布式、并行与集群计算 · 计算机科学 2026-04-20 Nilavra Pathak , Samadrita Biswas , Nirmalya Roy

This paper presents the design of scalable quantum networks that utilize optical switches to interconnect multiple quantum processors, facilitating large-scale quantum computing. By leveraging these novel architectures, we aim to address…

After Industry 4.0 has embraced tight integration between machinery (OT), software (IT), and the Internet, creating a web of sensors, data, and algorithms in service of efficient and reliable production, a new concept of Society 5.0 is…

As geopolitical, organizational, and technological fragmentation deepens, resilient digital collaboration becomes imperative. This paper develops a spectrum framework of polycentric digital ecosystems-nested socio-technical systems spanning…

计算机与社会 · 计算机科学 2026-02-13 Marc Schmitt