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Grids enable the aggregation, virtualization and sharing of massive heterogeneous and geographically dispersed resources, using files, applications and storage devices, to solve computation and data intensive problems, across institutions…

Software Engineering · Computer Science 2007-07-06 David Manset , Herve Verjus , Richard McClatchey

According to the pay-per-use model adopted in clouds, the more the resources consumed by an application running in a cloud computing environment, the greater the amount of money the owner of the corresponding application will be charged.…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-28 Nikos Tziritas , Samee Ullah Khan , Cheng-Zhong Xu , Jue Hong

Cloud computing is widely adopted by corporate as well as retail customers to reduce the upfront cost of establishing computing infrastructure. However, switching to the cloud based services poses a multitude of questions, both for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-22 M P Gilesh

A Hybrid cloud is an integration of resources between private and public clouds. It enables users to horizontally scale their on-premises infrastructure up to public clouds in order to improve performance and cut up-front investment cost.…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-05 Yaser Mansouri , Victor Prokhorenko , M. Ali Babar

Cloud providers have introduced pricing models to incentivize long-term commitments of compute capacity. These long-term commitments allow the cloud providers to get guaranteed revenue for their investments in data centers and computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-01 Murray Stokely , Neel Nadgir , Jack Peele , Orestis Kostakis

Allocating resources in a distributed environment is a fundamental challenge. In this paper, we analyze the scheduling and placement of virtual machines (VMs) in the cloud platform of SAP, the world's largest enterprise resource planning…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-29 Arno Uhlig , Iris Braun , Matthias Wählisch

The cloud computing paradigm underlines data center and telecommunication infrastructure design. Heavily leveraging virtualization, it slices hardware and software resources into smaller software units for greater flexibility of…

Networking and Internet Architecture · Computer Science 2026-02-06 Pedro R. X. do Carmo , Eduardo Freitas , Assis T. de Oliveira Filho , Judith Kelner , Djamel Sadok

Today cloud computing has become as a new concept for hosting and delivering different services over the Internet for big data solutions. Cloud computing is attractive to different business owners of both small and enterprise as it…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-06 Mehdi Bahrami

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-03 Rajkumar Buyya , Anton Beloglazov , Jemal Abawajy

Database platform-as-a-service (dbPaaS) is developing rapidly and a large number of databases have been migrated to run on the Clouds for the low cost and flexibility. Emerging Clouds rely on the tenants to provide the resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-30 Ningxin Zheng , Quan Chen , Yong Yang , Wei Zhang , Jin Li , Wenli Zheng , Minyi Guo

In the era of Internet of Things, all components in intelligent transportation systems will be connected to improve transport safety, relieve traffic congestion, reduce air pollution and enhance the comfort of driving. The vision of all…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-08-29 Rong Yu , Yan Zhang , Stein Gjessing , Wenlong Xia , Kun Yang

Cloud computing has reached significant maturity from a systems perspective, but currently deployed solutions rely on rather basic economics mechanisms that yield suboptimal allocation of the costly hardware resources. In this paper we…

Computer Science and Game Theory · Computer Science 2017-02-24 Moshe Babaioff , Yishay Mansour , Noam Nisan , Gali Noti , Carlo Curino , Nar Ganapathy , Ishai Menache , Omer Reingold , Moshe Tennenholtz , Erez Timnat

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

New scientific instruments are starting to generate an unprecedented amount of data. LOFAR, one of the Square Kilometre Array pathfinders, is already producing data on a petabyte scale. The calibration of these data presents a huge…

Instrumentation and Methods for Astrophysics · Physics 2017-04-19 J. Sabater , S. Sánchez Expósito , P. N. Best , J. Garrido , L. Verdes-Montenegro , D. Lezzi

In recent years, cloud and edge architectures have gained tremendous focus for offloading computationally heavy applications. From machine learning and Internet of Thing (IOT) to industrial procedures and robotics, cloud computing have been…

Robotics · Computer Science 2023-02-01 Achilleas Santi Seisa , Sumeet Gajanan Satpute , George Nikolakopoulos

Virtualization technology reduces cloud operational cost by increasing cloud resource utilization level. The incorporation of virtualization within cloud data centers can severely degrade cloud performance if not properly managed. Virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-01-18 Misbah Liaqat , Shalini Ninoriya , Junaid Shuja , Raja Wasim Ahmad , Abdullah Gani

Distributed computing, such as cloud computing, provides promising platforms to execute multiple workflows. Workflow scheduling plays an important role in multi-workflow execution with multi-objective requirements. Although there exist many…

Artificial Intelligence · Computer Science 2022-05-24 Feng Li , Wen Jun , Tan , Wentong , Cai

Cloud computing has become increasingly popular. Many options of cloud deployments are available. Testing cloud performance would enable us to choose a cloud deployment based on the requirements. In this paper, we present an innovative…

Performance · Computer Science 2015-09-03 Li Chen , Pooja Jain , Kingsum Chow , Emad Guirguis , Tony Wu

Efficiently processing medical images, such as whole slide images in digital pathology, is essential for timely diagnosing high-risk diseases. However, this demands advanced computing infrastructure, e.g., GPU servers for deep learning…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-24 Yuandou Wang , Neel Kanwal , Kjersti Engan , Chunming Rong , Paola Grosso , Zhiming Zhao

The cloud datacenter has numerous hosts as well as application requests where resources are dynamic. The demands placed on the resource allocation are diverse. These factors could lead to load imbalances, which affect scheduling efficiency…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-07 Sakshi Chhabra , Ashutosh Kumar Singh