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相关论文: Cloud Adoption A Modern Approach

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Migration legacy systems to cloud platforms is a knowledge intensive process. There is an ever increasing body of knowledge reporting empirical scenarios of successful and problematic cloud migration. Reusing this body of knowledge,…

软件工程 · 计算机科学 2022-02-17 Mahdi Fahmideh , Jun Yan , Jun Shen , Aakash Ahmad , Davoud Mougouei , Anup Shrestha

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

Containers offer an array of advantages that benefit research reproducibility and portability across groups and systems. As container tools mature, container security improves, and High-performance computing (HPC) and cloud system tools…

分布式、并行与集群计算 · 计算机科学 2023-08-24 Tiziano Müller , Nina Mujkanovic , Juan J. Durillo , Nicolay Hammer

Cloud-based Enterprise Resources Planning (Cloud ERP) is hosting an ERP system through the cloud environment. Cloud ERP is responsible for organisational business processes such as purchasing, financial, and human resource by providing a…

计算机与社会 · 计算机科学 2019-11-27 Xinyu Zhang

Web application providers have been migrating their applications to cloud data centers, attracted by the emerging cloud computing paradigm. One of the appealing features of the cloud is elasticity. It allows cloud users to acquire or…

分布式、并行与集群计算 · 计算机科学 2017-09-15 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

Cloud computing is a recent paradigm based around the notion of delivery of resources via a service model over the Internet. Despite being a new paradigm of computation, cloud computing owes its origins to a number of previous paradigms.…

分布式、并行与集群计算 · 计算机科学 2013-06-07 Jonathan Stuart Ward , Adam Barker

The cloud computing literature provides various ways to utilise cloud services, each with a different viewpoint, focus, and mostly using heterogeneous technical-centric terms. This hinders efficient and consistent knowledge flow across the…

分布式、并行与集群计算 · 计算机科学 2020-04-24 Mahdi Fahmideha , Farhad Daneshgarb , Fethi Rabhic , Ghassan Beydound

After the advent of the Internet of Things and 5G networks, edge computing became the center of attraction. The tasks demanding high computation are generally offloaded to the cloud since the edge is resource-limited. The Edge Cloud is a…

分布式、并行与集群计算 · 计算机科学 2025-10-21 Hassan Asghar , Eun-Sung Jung

Workloads in modern cloud data centers are becoming increasingly complex. The number of workloads running in cloud data centers has been growing exponentially for the last few years, and cloud service providers (CSP) have been supporting…

分布式、并行与集群计算 · 计算机科学 2022-11-30 Mohammad Hossain , Derssie Mebratu , Niranjan Hasabnis , Jun Jin , Gaurav Chaudhary , Noah Shen

This paper takes the position that, while cognitive computing today relies heavily on the cloud, we will soon see a paradigm shift where cognitive computing primarily happens on network edges. The shift toward edge devices is fundamentally…

网络与互联网体系结构 · 计算机科学 2018-02-19 Yuhao Zhu , Gu-Yeon Wei , David Brooks

Cloud computing is the next generation computing. Adopting the cloud computing is like signing up new form of a website. The GUI which controls the cloud computing make is directly control the hardware resource and your application. The…

分布式、并行与集群计算 · 计算机科学 2012-03-09 N. Ajith Singh , M. Hemalatha

Cloud computing is a particular implementation of distributed computing. It inherited many properties of distributed computing such as scalability, reliability and distribution transparency. The transparency middle layer abstracts the…

分布式、并行与集群计算 · 计算机科学 2021-02-11 Bola Abimbola

Hybrid cloud is an integrated cloud computing environment utilizing a mix of public cloud, private cloud, and on-premise traditional IT infrastructures. Workload awareness, defined as a detailed full range understanding of each individual…

机器学习 · 计算机科学 2017-12-19 Mu Qiao , Luis Bathen , Simon-Pierre Génot , Sunhwan Lee , Ramani Routray

Mission critical software is often required to comply with multiple regulations, standards or policies. Recent paradigms, such as cloud computing, also require software to operate in heterogeneous, highly distributed, and changing…

软件工程 · 计算机科学 2016-11-18 Jesús García-Galán , Liliana Pasquale , George Grispos , Bashar Nuseibeh

Cloud computing has been attracting the attention of several researchers both in the academia and the industry as it provides many opportunities for organizations by offering a range of computing services. For cloud computing to become…

分布式、并行与集群计算 · 计算机科学 2012-11-19 Mohamed Firdhous , Osman Ghazali , Suhaidi Hassan

[Context] The adoption of micro-frontends architectures has gained traction as a promising approach to enhance modularity, scalability, and maintainability of web applications. [Goal] The primary aim of this research is to investigate the…

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

分布式、并行与集群计算 · 计算机科学 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

This paper explores a prevailing trend in the industry: migrating data-intensive analytics applications from on-premises to cloud-native environments. We find that the unique cost models associated with cloud-based storage necessitate a…

分布式、并行与集群计算 · 计算机科学 2023-11-02 Chunxu Tang , Yi Wang , Bin Fan , Beinan Wang , Shouwei Chen , Ziyue Qiu , Chen Liang , Jing Zhao , Yu Zhu , Mingmin Chen , Zhongting Hu

Cloud resources have become increasingly important, with many businesses using cloud solutions to supplement or outright replace their existing IT infrastructure. However, as there is a plethora of providers with varying products, services,…

分布式、并行与集群计算 · 计算机科学 2024-04-19 Valentin Haag , Maximilian Kiessler , Benedikt Pittl , Erich Schikuta

Elastic autoscaling is the fundamental mechanism that enables the cloud-based services to continually evolve themselves - through changing the related software configurations and hardware resource provisions - under time-varying workloads.…

软件工程 · 计算机科学 2016-08-23 Tao Chen , Rami Bahsoon