中文
相关论文

相关论文: Towards Change Impact Analysis in Microservices-ba…

200 篇论文

Microservice and serverless computing systems open up massive versatility and opportunity to distributed and datacenter-scale computing. In the meantime, the deployments of modern datacenter resources are moving to disaggregated…

分布式、并行与集群计算 · 计算机科学 2021-04-26 Xiaoyi Lu , Arjun Kashyap

Microservices is an architectural style inspired by service-oriented computing that has recently started gaining popularity. Before presenting the current state-of-the-art in the field, this chapter reviews the history of software…

The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data…

分布式、并行与集群计算 · 计算机科学 2017-09-11 Blesson Varghese , Rajkumar Buyya

With the development of cloud computing, service computing, IoT(Internet of Things) and mobile Internet, the diversity and sociality of services are increasingly apparent. To meet the customized user demands, service ecosystems begins to…

其他计算机科学 · 计算机科学 2020-08-19 Xiao Xue , Zhaojie Chen , Shufang Wang , Zhiyong Feng , Yucong Duan , Zhangbing Zhou

Microservices have become popular in the past few years, attracting the interest of both academia and industry. Despite of its benefits, this new architectural style still poses important challenges, such as resilience, performance and…

The euphoria around microservices has decreased over the years, but the trend of modernizing legacy systems to this novel architectural style is unbroken to date. A variety of approaches have been proposed in academia and industry, aiming…

软件工程 · 计算机科学 2024-09-12 Jonas Fritzsch , Justus Bogner , Markus Haug , Stefan Wagner , Alfred Zimmermann

The evolution of Web and service technologies has led to a wide landscape of standards and protocols for interaction between loosely coupled software components. Examples range from Web applications, mashups, apps, and mobile devices to…

网络与互联网体系结构 · 计算机科学 2015-03-10 Harald Lampesberger

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

A fundamental ambition of grid and distributed systems is to be capable of sustaining evolution and allowing for adaptability ((F. Losavio et al., 2002), (S. Radhakrishnan, 2005)). Furthermore, as the complexity and sophistication of theses…

分布式、并行与集群计算 · 计算机科学 2012-03-05 Pierre de Leusse , Panos Periorellis , Paul Watson , Andreas Maierhofer

The cloud computing paradigm is being adopted by many organizations in different application domains as it is cost effective and offers a virtually unlimited pool of resources. Engineering critical systems can benefit from clouds in…

软件工程 · 计算机科学 2014-05-01 Sami Alajrami

In the last few years, the proliferation of edge and cloud computing infrastructures as well as the increasing number of mobile devices has facilitated the emergence of many novel applications. However, that increase of complexities also…

软件工程 · 计算机科学 2022-03-15 Hai Dinh-Tuan , Felix Beierle

Cloud computing, despite its advantages in scalability, may not always fully satisfy the low-latency demands of emerging latency-sensitive pervasive applications. The cloud-edge continuum addresses this by integrating the responsiveness of…

分布式、并行与集群计算 · 计算机科学 2025-10-09 Xu Bai , Muhammed Tawfiqul Islam , Rajkumar Buyya , Adel N. Toosi

Today, a paradigm shift is being observed in science, where the focus is gradually shifting toward the cloud environments to obtain appropriate, robust and affordable services to deal with Big Data challenges (Sharma et al. 2014, 2015a,…

分布式、并行与集群计算 · 计算机科学 2015-07-06 Sugam Sharma

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

Todays Information Technology world is cloud-centric. Companies are intrigued to migrate their workload private cloud from on-premise Datacenter to Public cloud to take advantage of the latest innovations. It drives the business growth and…

分布式、并行与集群计算 · 计算机科学 2023-05-31 Subhadip Kumar

The study of spacetime, and its role in understanding functional systems has received little attention in information science. Recent work, on the origin of universal scaling in cities and biological systems, provides an intriguing insight…

计算机与社会 · 计算机科学 2016-02-22 Mark Burgess

The microservice architecture for cloud-based systems is extended to not only require each loosely coupled component to be independently deployable, but also to provide independent routing for each component. This supports canary…

网络与互联网体系结构 · 计算机科学 2021-10-19 Jeremy J. Carroll , Pankaj Anand , David Guo

While Microservices are a preferred choice for modern cloud-based applications, the migration and architectural refactoring of existing legacy systems is still a major challenge in industry. To address this, academia has proposed many…

软件工程 · 计算机科学 2023-11-10 Jonas Fritzsch , Filipe Correia , Justus Bogner , Stefan Wagner

As the convergence of cloud computing and advanced networking continues to reshape modern software development, edge-cloud-native paradigms have become essential for enabling scalable, resilient, and agile digital services that depend on…

分布式、并行与集群计算 · 计算机科学 2026-03-05 Pawissanutt Lertpongrujikorn , Hai Duc Nguyen , Juahn Kwon , Mohsen Amini Salehi

Microservices have become a popular architectural style for data-driven applications, given their ability to functionally decompose an application into small and autonomous services to achieve scalability, strong isolation, and…

数据库 · 计算机科学 2021-08-24 Rodrigo Laigner , Yongluan Zhou , Marcos Antonio Vaz Salles , Yijian Liu , Marcos Kalinowski