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How can applications be deployed on the cloud to achieve maximum performance? This question has become significant and challenging with the availability of a wide variety of Virtual Machines (VMs) with different performance capabilities in…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

The advent of Edge Computing (EC) as a promising paradigm that provides multiple computation and analytics capabilities close to data sources opens new pathways for novel applications. Nonetheless, the limited computational capabilities of…

分布式、并行与集群计算 · 计算机科学 2022-06-14 Georgios Boulougaris , Kostas Kolomvatsos

Computation-as-a-Service (CaaS) offerings have gained traction in the last few years due to their effectiveness in balancing between the scalability of Software-as-a-Service and the customisation possibilities of Infrastructure-as-a-Service…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Joseph Doyle , Vasileios Giotsas , Mohammad Ashraful Anam , Yiannis Andreopoulos

Abstract The cloud computing is a key computing approach adopted by many organizations in order to share resources. It provides Everything As-A-Service (XaaS). Software-As-A-Service is an important resource on the cloud computing…

软件工程 · 计算机科学 2019-05-28 Dhanamma Jagli , Seema Purohit , N. Subash Chandra

With technological advancements and constant changes of Internet, cloud computing has been today's trend. With the lower cost and convenience of cloud computing services, users have increasingly put their Web resources and information in…

网络与互联网体系结构 · 计算机科学 2015-05-13 Po-Huei Liang , Jiann-Min Yang

Cloud-based services with resources to be provisioned for consumers are increasingly the norm, especially with respect to Big data, spatiotemporal data mining and application services that impose a user's agreed Quality of Service (QoS)…

分布式、并行与集群计算 · 计算机科学 2018-02-07 John Olorunfemi Abe , Burak Berk Ustundaug

Monitoring is an essential aspect of maintaining and developing computer systems that increases in difficulty proportional to the size of the system. The need for robust monitoring tools has become more evident with the advent of cloud…

分布式、并行与集群计算 · 计算机科学 2013-06-03 Jonathan Stuart Ward , Adam Barker

Cloud services have been used very widely, but configuration of the parameters, including the efficient allocation of resources, is an important objective for the system architect. The article is devoted to solving the problem of choosing…

分布式、并行与集群计算 · 计算机科学 2016-12-06 Evgeny Nikulchev , Evgeniy Pluzhnik , Oleg Lukyanchikov , Dmitry Biryukov , Elena Andrianova

Serverless computing has seen a myriad of work exploring its potential. Some systems tackle Function-as-a-Service (FaaS) properties on automatic elasticity and scale to run highly-parallel computing jobs. However, they focus on specific…

分布式、并行与集群计算 · 计算机科学 2021-06-16 Daniel Barcelona-Pons , Pedro García-López

The Cloud Computing paradigm is providing system architects with a new powerful tool for building scalable applications. Clouds allow allocation of resources on a "pay-as-you-go" model, so that additional resources can be requested during…

分布式、并行与集群计算 · 计算机科学 2015-03-17 Moreno Marzolla , Raffaela Mirandola

Cloud systems have rapidly expanded worldwide in the last decade, shifting computational tasks to cloud servers where clients submit their requests. Among cloud workloads, latency-critical applications -- characterized by high-percentile…

分布式、并行与集群计算 · 计算机科学 2025-05-07 Zhilin Li , Lucia Pons , Salvador Petit , Julio Sahuquillo , Julio Pons

Multi-cloud computing is a promising paradigm to support very large scale world wide distributed applications. Multi-cloud computing is the usage of multiple, independent cloud environments, which assumed no priori agreement between cloud…

软件工程 · 计算机科学 2014-07-09 Fawaz Paraiso , Philippe Merle , Lionel Seinturier

Robots have inherently limited onboard processing, storage, and power capabilities. Cloud computing resources have the potential to provide significant advantages for robots in many applications. However, to make use of these resources,…

机器人学 · 计算机科学 2020-09-16 Manoj Penmetcha , Shyam Sundar Kannan , Byung-Cheol Min

As the cloud infrastructure grows, it becomes more challenging to manage resources in such a massive, diverse, and distributed setting, despite the fact that cloud computing provides computational capabilities on-demand. Due to resource…

分布式、并行与集群计算 · 计算机科学 2025-03-20 Sukhpal Singh Gill

How can applications be deployed on the cloud to achieve maximum performance? This question is challenging to address with the availability of a wide variety of cloud Virtual Machines (VMs) with different performance capabilities. The…

分布式、并行与集群计算 · 计算机科学 2016-11-15 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

Running microbenchmark suites often and early in the development process enables developers to identify performance issues in their application. Microbenchmark suites of complex applications can comprise hundreds of individual benchmarks…

分布式、并行与集群计算 · 计算机科学 2024-07-30 Trever Schirmer , Tobias Pfandzelter , David Bermbach

Cloud Computing is a versatile technology that can support a broad-spectrum of applications. The low cost of cloud computing and its dynamic scaling renders it an innovation driver for small companies, particularly in the developing world.…

计算机与社会 · 计算机科学 2019-08-13 Ananga Thapaliya , Subham Chakraborty

Due to the popularity of the FaaS programming model, there is now a wide variety of commercial and open-source FaaS systems. Hence, for comparison of different FaaS systems and their configuration options, FaaS application developers rely…

分布式、并行与集群计算 · 计算机科学 2024-04-29 Martin Grambow , Tobias Pfandzelter , David Bermbach

Cloud Service Providers deliver their products in form of 'as-a-Service', which are typically categorized by the level of abstraction. This approach hides the implementation details and shows only functionality to the user. However, the…

性能 · 计算机科学 2019-05-29 Roland Pellegrini , Igor Ivkic , Markus Tauber

Cloud services today are increasingly built using functionality from other running services. In this paper, we question whether legacy Quality of Services (QoS) metrics and enforcement techniques are sufficient as they are producer centric.…

计算机与社会 · 计算机科学 2015-10-01 Murad Kablan , Hani Jamjoom , Eric Keller