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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

Robots have inherently limited onboard processing, storage, and power capabilities. Cloud computing resources have the potential to provide significant advantages for robots in many applications. However, to make use of these resources,…

Robotics · Computer Science 2020-09-16 Manoj Penmetcha , Shyam Sundar Kannan , Byung-Cheol Min

Multi-cloud computing is a promising paradigm to support very large scale world wide distributed applications. Multi-cloud computing is the usage of multiple, independent cloud environments, which assumed no priori agreement between cloud…

Software Engineering · Computer Science 2014-07-09 Fawaz Paraiso , Philippe Merle , Lionel Seinturier

In recent years, the integration of artificial intelligence (AI) and cloud computing has emerged as a promising avenue for addressing the growing computational demands of AI applications. This paper presents a comprehensive study of…

Machine Learning · Computer Science 2023-04-28 Neelesh Mungoli

Enterprises increasingly adopt multi cloud architectures to take advantage of diverse database engines, regional availability, and cost models. In these environments, ETL pipelines must process large, distributed datasets while minimizing…

Traditionally, HPC workloads have been deployed in bare-metal clusters; but the advances in virtualization have led the pathway for these workloads to be deployed in virtualized clusters. However, HPC cluster administrators/providers still…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-24 Jashwant Raj Gunasekaran , Michael Cui , Prashanth Thinakaran , Josh Simons , Mahmut Taylan Kandemir , Chita R. Das

In the contemporary world of dynamic digital solutions and services, the significance of effective and stable cloud solutions cannot be overestimated. The cloud adaptation is becoming more popular due to mobile advantages, including…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-30 Naresh Kumar Gundla

Distributed synchronized GPU training is commonly used for deep learning. The resource constraint of using a fixed number of GPUs makes large-scale training jobs suffer from long queuing time for resource allocation, and lowers the cluster…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-08 Mingzhen Li , Wencong Xiao , Biao Sun , Hanyu Zhao , Hailong Yang , Shiru Ren , Zhongzhi Luan , Xianyan Jia , Yi Liu , Yong Li , Wei Lin , Depei Qian

Design and architecture of cloud storage system plays a vital role in cloud computing infrastructure in order to improve the storage capacity as well as cost effectiveness. Usually cloud storage system provides users to efficient storage…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-12-12 Tin Tin Yee , Thinn Thu Naing

The increasing demand for diverse, mobile applications with various degrees of Quality of Service requirements meets the increasing elasticity of on-demand resource provisioning in virtualized cloud computing infrastructures. This paper…

Networking and Internet Architecture · Computer Science 2018-07-10 Ronny Hans , Björn Richerzhagen , Amr Rizk , Ulrich Lampe , Ralf Steinmetz , Sabrina Klos , Anja Klein

This paper describes a control approach for large-scale electricity networks, with the goal of efficiently coordinating distributed generators to balance unexpected load variations with respect to nominal forecasts. To mitigate the…

Systems and Control · Electrical Eng. & Systems 2020-04-30 Alessio La Bella , Pascal Klaus , Giancarlo Ferrari-Trecate , Riccardo Scattolini

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-20 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya

Elasticity is offered by cloud service providers to exploit under-utilized computing resources. The low-cost elastic nodes can leave and join any time during the computation cycle. The possibility of elastic events occurring together with…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-24 Shahrzad Kiani , Tharindu Adikari , Stark C. Draper

Serverless computing is a widely adopted cloud execution model composed of Function-as-a-Service (FaaS) and Backend-as-a-Service (BaaS) offerings. The increased level of abstraction makes vendor lock-in inherent to serverless computing,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-03-29 Haidong Zhao , Zakaria Benomar , Tobias Pfandzelter , Nikolaos Georgantas

Elasticity is one important feature in modern cloud computing systems and can result in computation failure or significantly increase computing time. Such elasticity means that virtual machines over the cloud can be preempted under a short…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-07-26 Mingyue Ji , Xiang Zhang , Kai Wan

Uninterrupted system availability is a critical requirement for enterprise operations, yet traditional high-availability clusters suffer from limitations such as single points of failure and inefficient resource allocation. This paper…

The delivery of key services in domains ranging from finance and manufacturing to healthcare and transportation is underpinned by a rapidly growing number of mission-critical enterprise applications. Ensuring the continuity of these complex…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-09-23 Premathas Somasekaram , Radu Calinescu , Rajkumar Buyya

Under several emerging application scenarios, such as in smart cities, operational monitoring of large infrastructure, wearable assistance, and Internet of Things, continuous data streams must be processed under very short delays. Several…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-05 Marcos Dias de Assuncao , Alexandre da Silva Veith , Rajkumar Buyya

Compute infrastructure hosted by a cloud provider allows an application to scale without limit. The application developer no longer needs to worry about the up-front investment in a server farm provisioned for a worst-case load scenario.…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-06-16 Michael Howard

Recent SDN-based solutions give cloud providers the opportunity to extend their "as-a-service" model with the offer of complete network virtualization. They provide tenants with the freedom to specify the network topologies and addressing…

Networking and Internet Architecture · Computer Science 2016-03-11 Max Alaluna , Fernando M. V. Ramos , Nuno Neves