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Service matching concerns finding suitable services according to the service requester's requirements, which is a complex task due to the increasing number and diversity of cloud services available. Service matching is discussed in web…

分布式、并行与集群计算 · 计算机科学 2016-07-25 Begüm İlke Zilci , Mathias Slawik , Axel Küpper

Both blockchain technologies and cloud computing are contemporary emerging technologies. While the application of Blockchain technologies is being spread beyond cryptocurrency, cloud computing is also seeing a paradigm shift to meet the…

网络与互联网体系结构 · 计算机科学 2019-09-25 Md Mehedi Hassan Onik , Mahdi H. Miraz

With the advantages that cloud computing offers in terms of platform as a service, software as a service, and infrastructure as a service, data engineers and data scientists are able to leverage cloud computing for their ETL/ELT (extract,…

分布式、并行与集群计算 · 计算机科学 2022-09-01 Mohammad Rehman , Hairong Wang

As quantum computing systems continue to mature, there is an increasing need for benchmarking methodologies that capture performance in terms of meaningful, application-level metrics. In this work, we present a scalable framework for…

Server clustering is a common design principle employed by many organisations who require high availability, scalability and easier management of their infrastructure. Servers are typically clustered according to the service they provide…

分布式、并行与集群计算 · 计算机科学 2016-11-17 Gary A. McGilvary , Josep Rius , Íñigo Goiri , Francesc Solsona , Adam Barker , Malcolm Atkinson

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

Applications that fuse machine learning and simulation can benefit from the use of multiple computing resources, with, for example, simulation codes running on highly parallel supercomputers and AI training and inference tasks on…

分布式、并行与集群计算 · 计算机科学 2023-12-04 Logan Ward , J. Gregory Pauloski , Valerie Hayot-Sasson , Ryan Chard , Yadu Babuji , Ganesh Sivaraman , Sutanay Choudhury , Kyle Chard , Rajeev Thakur , Ian Foster

Latency-critical services have been widely deployed in cloud environments. For cost-efficiency, multiple services are usually co-located on a server. Thus, run-time resource scheduling becomes the pivot for QoS control in these complicated…

分布式、并行与集群计算 · 计算机科学 2022-09-07 Lei Liu

Cloud-based computing systems could get oversubscribed due to budget constraints of cloud users which causes violation of Quality of Experience(QoE) metrics such as tasks' deadlines. We investigate an approach to achieve robustness against…

分布式、并行与集群计算 · 计算机科学 2018-09-19 Chavit Denninnart , Mohsen Amini Salehi , Adel Nadjaran Toosi , Xiangbo Li

An increasing number of Analytics-as-a-Service solutions has recently seen the light, in the landscape of cloud-based services. These services allow flexible composition of compute and storage components, that create powerful data ingestion…

分布式、并行与集群计算 · 计算机科学 2017-03-16 Francesco Pace , Marco Milanesio , Daniele Venzano , Damiano Carra , Pietro Michiardi

Cloud computing is considered as the one of the most dominant paradigm in field of information technology which offers on demand cost effective services such as Software as a service (SAAS), Infrastructure as a service (IAAS) and Platform…

密码学与安全 · 计算机科学 2020-11-17 N. N. Thilakarathne , Dilani Wickramaaarachchi

Cloud computing offers on-demand, scalable computing and storage, and has become an essential resource for the analyses of big biomedical data. The usual approach to cloud computing requires users to reserve and provision virtual servers.…

定量方法 · 定量生物学 2018-08-01 Dimitar Kumanov , Ling-Hong Hung , Wes Lloyd , Ka Yee Yeung

Serverless computing has emerged as a prominent paradigm, with a significant adoption rate among cloud customers. While this model offers advantages such as abstraction from the deployment and resource scheduling, it also poses limitations…

分布式、并行与集群计算 · 计算机科学 2025-03-26 Larissa Schmid , Marcin Copik , Alexandru Calotoiu , Laurin Brandner , Anne Koziolek , Torsten Hoefler

Cloud computing services provide scalable and cost-effective solutions for data storage, processing, and collaboration. With their growing popularity, concerns about security vulnerabilities are increasing. To address this, first, we…

密码学与安全 · 计算机科学 2024-12-25 Mikhail Kazdagli , Mohit Tiwari , Akshat Kumar

With the increasing adoption of private cloud infrastructures by providers and enterprises, the monitoring of these infrastructures is becoming crucial. The rationale behind monitoring is manifold: reasons include saving energy, lowering…

分布式、并行与集群计算 · 计算机科学 2016-01-28 Pavel Skvortsov , Dennis Hoppe , Axel Tenschert , Michael Gienger

The problem of managing multi-service applications on top of Cloud-Edge networks in a QoS-aware manner has been thoroughly studied in recent years from a decision-making perspective. However, only a few studies addressed the problem of…

软件工程 · 计算机科学 2024-04-12 Giuseppe Bisicchia , Stefano Forti , Ernesto Pimentel , Antonio Brogi

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

The recently accentuated features of augmenting conventional wireless networks with high altitude platform systems (HAPS) have fueled a plethora of applications, which promise to offer new services to ground users, as well to enhance the…

密码学与安全 · 计算机科学 2023-06-05 Khaleel Mershad , Hayssam Dahrouj

We assess costs and efficiency of state-of-the-art high performance cloud computing compared to a traditional on-premises compute cluster. Our use case are atomistic simulations carried out with the GROMACS molecular dynamics (MD) toolkit…

分布式、并行与集群计算 · 计算机科学 2022-05-16 Carsten Kutzner , Christian Kniep , Austin Cherian , Ludvig Nordstrom , Helmut Grubmüller , Bert L. de Groot , Vytautas Gapsys

Function-as-a-Service is a novel type of cloud service used for creating distributed applications and utilizing computing resources. Application developer supplies source code of cloud functions, which are small applications or application…

分布式、并行与集群计算 · 计算机科学 2019-09-10 Maciej Pawlik , Kamil Figiela , Maciej Malawski