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This paper presents a stream-oriented architecture for structuring cluster applications. Clusters that run applications based on this architecture can scale to tenths of thousands of nodes with significantly less performance loss or…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Tassos S. Argyros , David R. Cheriton

Containers, enabling lightweight environment and performance isolation, fast and flexible deployment, and fine-grained resource sharing, have gained popularity in better application management and deployment in addition to hardware…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-06 Maria A. Rodriguez , Rajkumar Buyya

Despite the de-facto technological uniformity fostered by the cloud and edge computing paradigms, resource fragmentation across isolated clusters hinders the dynamism in application placement, leading to suboptimal performance and…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-12-26 Marco Iorio , Fulvio Risso , Alex Palesandro , Leonardo Camiciotti , Antonio Manzalini

Containers are standalone, self-contained units that package software and its dependencies together. They offer lightweight performance isolation, fast and flexible deployment, and fine-grained resource sharing. They have gained popularity…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-04 Maria A. Rodriguez , Rajkumar Buyya

Orchestrating service-oriented workflows is typically based on a design model that routes both data and control through a single point - the centralised workflow engine. This causes scalability problems that include the unnecessary…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Ward Jaradat , Alan Dearle , Adam Barker

This paper proposes an architectural framework for the efficient orchestration of containers in cloud environments. It centres around resource scheduling and rescheduling policies as well as autoscaling algorithms that enable the creation…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-26 Rajkumar Buyya , Maria A. Rodriguez , Adel Nadjaran Toosi , Jaeman Park

With the growth of real-time applications and IoT devices, computation is moving from cloud-based services to the low latency edge, creating a computing continuum. This continuum includes diverse cloud, edge, and endpoint devices, posing…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-27 Zahra Najafabadi Samani , Matthias Gassner , Thomas Fahringer , Juan Aznar Poveda , Stefan Pedratscher

The increasing prevalence of cloud-native technologies, particularly containers, has led to the widespread adoption of containerized deployments in data centers. The advancement of deep neural network models has increased the demand for…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-22 Jinlong Hu , Zhizhe Rao , Xingchen Liu , Lihao Deng , Shoubin Dong

Industries are considering the adoption of cloud computing for real-time applications due to current improvements in network latencies and the advent of Fog and Edge computing. To create an RT-cloud capable of hosting real-time…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-01-19 Gabriele Monaco , Gautam Gala , Gerhard Fohler

The availability of large number of processing nodes in a parallel and distributed computing environment enables sophisticated real time processing over high speed data streams, as required by many emerging applications. Sliding window…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-26 Abhirup Chakraborty , Ajit Singh

Serverless computing has emerged as a promising alternative to infrastructure- (IaaS) and platform-as-a-service (PaaS)cloud platforms for applications with ample parallelism and intermittent activity. Serverless promises greater resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-01-03 Shannon Joyner , Michael MacCoss , Christina Delimitrou , Hakim Weatherspoon

Image- and data-parallel rendering across multiple nodes on high-performance computing systems is widely used in visualization to provide higher frame rates, support large data sets, and render data in situ. Specifically for in situ…

Graphics · Computer Science 2023-05-15 Will Usher , Ingo Wald , Jefferson Amstutz , Johannes Günther , Carson Brownlee , Valerio Pascucci

A hybrid mobile/fixed device cloud that harnesses sensing, computing, communication, and storage capabilities of mobile and fixed devices in the field as well as those of computing and storage servers in remote datacenters is envisioned.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-10 Parul Pandey , Hariharasudhan Viswanathan , Dario Pompili

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

Over the last decade, the cloud computing landscape has transformed from a centralised architecture made of large data centres to a distributed and heterogeneous architecture embracing edge and IoT units. This shift has created the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-28 Jämes Ménétrey , Marcelo Pasin , Pascal Felber , Valerio Schiavoni

Container technologies such as Docker have become a crucial component of many software industry practices especially those pertaining to reproducibility and portability. The containerization philosophy has influenced the scientific…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-08-05 Peter Z. Vaillancourt , J. Eric Coulter , Richard Knepper , Brandon Barker

We present Rhino, a system for accelerating tensor programs with automatic parallelization on AI platform for real production environment. It transforms a tensor program written for a single device into an equivalent distributed program…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-02-17 Shiwei Zhang , Lansong Diao , Siyu Wang , Zongyan Cao , Yiliang Gu , Chang Si , Ziji Shi , Zhen Zheng , Chuan Wu , Wei Lin

Cloud computing technology has been one of the most critical developments in provisioning both hardware and software infrastructure in recent years. Container technology is a new cloud technology that boosts the booting of applications,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-01 Abdullah Alelyani , Ghulam Mubasher Hassan , Amitava Datta

The increasingly dynamic market for embedded systems makes virtual prototypes an indispensable tool for hardware/software codesign. The broad acceptance of the methodology has led to a diverse range of solutions: from open-source, pure…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-13 Tim Kraus , Axel Sauer , Ingo Feldner

Over the past ten years, many different approaches have been proposed for different aspects of the problem of resources management for long running, dynamic and diverse workloads such as processing query streams or distributed deep…

Performance · Computer Science 2023-08-24 Nader Alfares , George Kesidis , Ata Fatahi Baarzi , Aman Jain
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