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Erasure coding is a storage-efficient alternative to replication for achieving reliable data backup in distributed storage systems. During the storage process, traditional erasure codes require a unique source node to create and upload all…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-19 Lluis Pamies-Juarez , Anwitaman Datta , Frédérique Oggier

Cloud providers offer a variety of execution platforms in form of bare-metal, VM, and containers. However, due to the pros and cons of each execution platform, choosing the appropriate platform for a specific cloud-based application has…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Davood Ghatreh Samani , Chavit Denninnart , Josef Bacik , Mohsen Amini Salehi

The applications that are deployed in the cloud to provide services to the users encompass a large number of interconnected dependent cloud components. Multiple identical components are scheduled to run concurrently in order to handle…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-12 Chinmaya Kumar Dehury , Prasan Kumar Sahoo , Bharadwaj Veeravalli

The need for high availability (HA) and disaster recovery (DR) in IT environment is more stringent than most of the other sectors of enterprises. Many businesses require the availability of business-critical applications 24 hours a day,…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-12-10 T. T. Lwin , T. Thein

Upon the expansion of Cloud Computing and the positive outlook of organizations with regard to the movements towards using cloud computing and their expanding utilization of such valuable processing method, as well as the solutions provided…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-06-30 Yaghoob Siahmargooei , Mohammad Kazem Akbari , Seyyed Alireza Hashemi Golpayegani , Saeed Sharifian

In this article we look at the potential of cloud containers and we provide some guidelines for companies and organisations that are starting to look at how to migrate their legacy infrastructure to something modern, reliable and scalable.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-11-04 Damiano Perri , Marco Simonetti , Sergio Tasso , Federico Ragni , Osvaldo Gervasi

Cloud-based serverless computing is an increasingly popular computing paradigm. In this paradigm, different services have diverse computing requirements that justify deploying an inconsistently Heterogeneous Computing (HC) system to…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-14 Chavit Denninnart , James Gentry , Mohsen Amini Salehi

The rapid evolution of embedded systems, along with the growing variety and complexity of AI algorithms, necessitates a powerful hardware/software co-design methodology based on virtual prototyping technologies. The market offers a diverse…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-20 Tim Kraus , Axel Sauer , Ingo Feldner

Hyperledger Fabric is a platform for permissioned blockchain networks that enables secure and auditable distributed data storage for enterprise applications. There is a growing interest in applications based on this platform, but its use…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-18 Carlos Melo , Glauber Gonçalves , Francisco A. Silva , André Soares

We study a cloud storage operator who provides shared storage service for electricity end-users using the residual part of a multi-service grid-scale battery primarily used for high priority grid services. We design an optimal product…

Signal Processing · Electrical Eng. & Systems 2021-08-16 Mohammad Rasouli , Tao Sun , Camille Pache , Patrick Panciatici , Jean Maeght , Ramesh Johari , Ram Rajagopal

The widespread adoption of cloud computing has resulted in the proliferation of open source cloud computing frameworks that give more control to enterprises over their data and networks. Though the benefits of open source software are…

Software Engineering · Computer Science 2018-05-16 Irum Rauf , Elena Troubitsyna

Cloud providers introduce features (e.g., Spot VMs, Harvest VMs, and Burstable VMs) and optimizations (e.g., oversubscription, auto-scaling, power harvesting, and overclocking) to improve efficiency and reliability. To effectively utilize…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Anjaly Parayil , Jue Zhang , Xiaoting Qin , Íñigo Goiri , Lexiang Huang , Timothy Zhu , Chetan Bansal

Inadequate service availability is the top concern when employing Cloud computing. It has been recognized that zero downtime is impossible for large-scale Internet services. By learning from the previous and others' mistakes, nevertheless,…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-12-24 Zheng Li , Mingfei Liang , Liam O'Brien , He Zhang

The interdependency between different network layers is commonly observed in Cyber Physical Systems and communication networks adopting the dissociation of logic and hardware implementation, such as Software Defined Networking and Network…

Networking and Internet Architecture · Computer Science 2019-03-06 Genya Ishigaki , Riti Gour , Jason P. Jue

The trend for cloud computing has initiated a race towards data centres (DC) of an ever-increasing size. The largest DCs now contain many hundreds of thousands of virtual machine (VM) services. Given the finite lifespan of hardware, such…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-28 John Cartlidge , Ilango Sriram

The pay-as-you-go model supported by existing cloud infrastructure providers is appealing to most application service providers to deliver their applications in the cloud. Within this context, elasticity of applications has become one of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-17 Rui Han

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

Problem Definition: Allocating sufficient capacity to cloud services is a challenging task, especially when demand is time-varying, heterogeneous, contains batches, and requires multiple types of resources for processing. In this setting,…

Applications · Statistics 2022-09-21 Eugene Furman , Arik Senderovich , Shane Bergsma , J. Christopher Beck

Cloud computing represents an appealing opportunity for cost-effective deployment of HPC workloads on the best-fitting hardware. However, although cloud and on-premise HPC systems offer similar computational resources, their network…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-03 Daniele De Sensi , Tiziano De Matteis , Konstantin Taranov , Salvatore Di Girolamo , Tobias Rahn , Torsten Hoefler

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
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