English
Related papers

Related papers: Virtual Machine Migration: A Resource Intensive Ou…

200 papers

MapReduce has become a popular programming model for running data intensive applications on the cloud. Completion time goals or deadlines of MapReduce jobs set by users are becoming crucial in existing cloud-based data processing…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-08-10 B. Thirumala Rao , L. S. S. Reddy

Leading Cloud providers offer several types of Virtual Machines (VMs) in diverse contract models, with different guarantees in terms of availability and reliability. Among them, the most popular contract models are the on-demand and the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-11 Luan Teylo , Luciana Arantes , Pierre Sens , Lúcia Maria de A. Drummond

Motivated by the huge disparity between the limited battery capacity of user devices and the ever-growing energy demands of modern mobile apps, we propose INFv. It is the first offloading system able to cache, migrate and dynamically…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-06-17 Mario Almeida , Liang Wang , Jeremy Blackburn , Konstantina Papagiannaki , Jon Crowcroft

Computing at the edge is increasingly important since a massive amount of data is generated. This poses challenges in transporting all that data to the remote data centers and cloud, where they can be processed and analyzed. On the other…

Machine Learning · Computer Science 2020-12-09 Christian Makaya , Amalendu Iyer , Jonathan Salfity , Madhu Athreya , M Anthony Lewis

In the era of Internet of Things (IoT), Digital Twin (DT) is envisioned to empower various areas as a bridge between physical objects and the digital world. Through virtualization and simulation techniques, multiple functions can be…

Machine Learning · Computer Science 2023-07-14 Ziru Zhang , Xuling Zhang , Guangzhi Zhu , Yuyang Wang , Pan Hui

Visual Simultaneous Localization and Mapping (vSLAM) is a prevailing technology for many emerging robotic applications. Achieving real-time SLAM on mobile robotic systems with limited computational resources is challenging because the…

Robotics · Computer Science 2025-02-28 Yao Zhang , Yuyi Mao , Hui Wang , Zhiwen Yu , Song Guo , Jun Zhang , Liang Wang , Bin Guo

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko

Thanks to its computational and forwarding capabilities, the mobile network infrastructure can support several third-party ("vertical") services, each composed of a graph of virtual (network) functions (VNFs). Importantly, one or more VNFs…

Networking and Internet Architecture · Computer Science 2019-10-10 Francesco Malandrino , Carla Fabiana Chiasserini , Gil Einziger , Gabriel Scalosub

We present a model for measuring the impact of offloading soft real-time jobs over multi-tier cloud infrastructures. The jobs originate in mobile devices and offloading strategies may choose to execute them locally, in neighbouring devices,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-03 Joaquim Silva , Eduardo R. B. Marques , Luís M. B Lopes , Fernando Silva

In Software-Defined Networking (SDN)-enabled cloud data centers, live migration is a key approach used for the reallocation of Virtual Machines (VMs) in cloud services and Virtual Network Functions (VNFs) in Service Function Chaining (SFC).…

Networking and Internet Architecture · Computer Science 2023-02-08 TianZhang He , Adel N. Toosi , Rajkumar Buyya

Cloud computing has provided economies of scale, savings, and efficiency for both individual consumers and enterprises. Its key advantage is its ability to handle increasing amounts of data and provide functionality that gives users the…

Networking and Internet Architecture · Computer Science 2023-11-17 Tarek Bessalah

As novel applications spring up in future network scenarios, the requirements on network service capabilities for differentiated services or burst services are diverse. Aiming at the research of collaborative computing and resource…

Networking and Internet Architecture · Computer Science 2021-02-25 Zhuo Li , Xu Zhou , Yang Liu , Congshan Fan , Wei Wang

Deep Learning-based (DL) applications are becoming increasingly popular and advancing at an unprecedented pace. While many research works are being undertaken to enhance Deep Neural Networks (DNN) -- the centerpiece of DL applications --…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-12-21 Davood G. Samani , Mohsen Amini Salehi

Virtualization, after having found widespread adoption in the server and desktop arena, is poised to change the architecture of embedded systems as well. The benefits afforded by virtualization - enhanced isolation, manageability,…

Operating Systems · Computer Science 2018-06-05 Janis Danisevskis , Michael Peter , Jan Nordholz

Fog/Edge computing model allows harnessing of resources in the proximity of the Internet of Things (IoT) devices to support various types of real-time IoT applications. However, due to the mobility of users and a wide range of IoT…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-08-06 Mohammad Goudarzi , Marimuthu Palaniswami , Rajkumar Buyya

This paper investigates the intelligent computing task-oriented computing offloading and semantic compression in mobile edge computing (MEC) systems. With the popularity of intelligent applications in various industries, terminals…

Networking and Internet Architecture · Computer Science 2023-07-07 Yuanpeng Zheng , Tiankui Zhang , Rong Huang , Yapeng Wang

We propose a novel job scheduling approach for homogeneous cluster computing platforms. Its key feature is the use of virtual machine technology to share fractional node resources in a precise and controlled manner. Other VM-based…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-06-27 Henri Casanova , Mark Stillwell , Frédéric Vivien

Industry 4.0 is changing fundamentally the way data is collected, stored and analyzed in industrial processes. While this change enables novel application such as flexible manufacturing of highly customized products, the real-time control…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-12 Florian Hofer , Martin A. Sehr , Alberto Sangiovanni-Vincentelli , Barbara Russo

In this paper, we consider a multi-user mobile edge computing (MEC) network powered by wireless power transfer (WPT), where each energy-harvesting WD follows a binary computation offloading policy, i.e., data set of a task has to be…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-26 Suzhi Bi , Ying-Jun Angela Zhang

Cloud computing is a new archetype that provides dynamic computing services to cloud users through the support of datacenters that employs the services of datacenter brokers which discover resources and assign them Virtually. The focus of…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-29 J. Kok Konjaang , J. Y. Maipan-uku , Kumangkem Kennedy Kubuga
‹ Prev 1 8 9 10 Next ›