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Related papers: Investigations into Elasticity in Cloud Computing

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The use of cloud technology can offer significant savings for the deployment of services, provided that the service is able to make efficient use of the available virtual resources to meet service-level requirements. To avoid software…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-10-27 Einar Broch Johnsen , Ka I Pun , S. Lizeth Tapia Tarifa

Cloud-based computing infrastructure provides an efficient means to support real-time processing workloads, e.g., virtualized base station processing, and collaborative video conferencing. This paper addresses resource allocation for a…

Networking and Internet Architecture · Computer Science 2016-03-08 Yuhuan Du , Gustavo de Veciana

For decades, database research has focused on optimizing performance under fixed resources. As more and more database applications move to the public cloud, we argue that it is time to make cost a first-class citizen when solving database…

Databases · Computer Science 2023-08-21 Huanchen Zhang , Yihao Liu , Jiaqi Yan

To support the growing demand for data-intensive and low-latency IoT applications, Multi-Access Edge Computing (MEC) is emerging as an effective edge-computing approach enabling the execution of delay-sensitive processing tasks close to…

Networking and Internet Architecture · Computer Science 2025-01-27 Simone Bolettieri , Raffaele Bruno , Enzo Mingozzi

We study how to support elasticity, i.e., the ability to dynamically adjust the parallelism (number of GPUs), for deep neural network (DNN) training. Elasticity can benefit multi-tenant GPU cluster management in many ways, e.g., achieving…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-03 Yidi Wu , Kaihao Ma , Xiao Yan , Zhi Liu , Zhenkun Cai , Yuzhen Huang , James Cheng , Han Yuan , Fan Yu

Multimedia conferencing is used extensively in a wide range of applications, such as online games and distance learning. These applications need to efficiently scale the conference size as the number of participants fluctuates. Cloud is a…

High intensive computation applications can usually take days to months to finish an execution. During this time, it is common to have variations of the available resources when considering that such hardware is usually shared among a…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-27 Kiran Mantripragada , Alecio Binotto , Leonardo P. Tizzei

Making successful use of cloud computing requires nuanced approaches to both system design and deployment methodology, involving reasoning about the elasticity, cost, and security models of cloud services. Building cloud-native applications…

Computers and Society · Computer Science 2024-12-04 Aditya Saligrama , Cody Ho , Benjamin Tripp , Michael Abbott , Christos Kozyrakis

We present an Edge-as-a-Service (EaaS) platform for realising distributed cloud architectures and integrating the edge of the network in the computing ecosystem. The EaaS platform is underpinned by (i) a lightweight discovery protocol that…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-30 Blesson Varghese , Nan Wang , Jianyu Li , Dimitrios S. Nikolopoulos

Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks) platforms with features such as…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Khalid Alhamazani , Rajiv Ranjan , Prem Prakash Jayaraman , Karan Mitra , Chang Liu , Fethi Rabhi , Dimitrios Georgakopoulos , Lizhe Wang

Edge computing is promoted to meet increasing performance needs of data-driven services using computational and storage resources close to the end devices, at the edge of the current network. To achieve higher performance in this new…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-04-20 Klervie Toczé , Simin Nadjm-Tehrani

The Dynamic Scalability of resources, a problem in Infrastructure as a Service (IaaS) has been the hotspot for research and industry communities. The heterogeneous and dynamic nature of the Cloud workloads depends on the Quality of Service…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-11-26 Sukhpal Singh , Inderveer Chana

Due to the recent wide use of computational resources in cloud computing, new resource provisioning challenges have been emerged. Resource provisioning techniques must keep total costs to a minimum while meeting the requirements of the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-09-21 Safiye Ghasemi , Mohammad Reza Meybodi , Mehdi Dehghan Takht Fooladi , Amir Masoud Rahmani

As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Rajkumar Buyya , Rodrigo N. Calheiros , Xiaorong Li

Cloud computing delivers value to users by facilitating their access to computing capacity in periods when their need arises. An approach is to provide both on-demand and spot services on shared servers. The former allows users to access…

Performance · Computer Science 2019-09-04 Xiaohu Wu , Francesco De Pellegrini , Guanyu Gao , Giuliano Casale

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

Scalability is an important characteristic of cloud computing. With scalability, cost is minimized by provisioning and releasing resources according to demand. Most of current Infrastructure as a Service (IaaS) providers deliver…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-01-13 Ashraf A. Shahin

Cloud computing has achieved great success in modern IT industry as an excellent computing paradigm due to its flexible management and elastic resource sharing. To date, cloud computing takes an irrepalceable position in our socioeconomic…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-03-17 Pengfei Chen , Yong Qi , Peipei Wang , Li Su , Xinyi Li

Cloud computing refers to a paradigm shift to overall IT solutions while raising the accessibility, scalability and effectiveness through its enabling technologies. However, migrated cloud platforms and services cost benefits as well as…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-05-21 Abhinav Pandey , Akash Pandey , Ankit Tandon , Brajesh Kr Maurya , Upendra Kushwaha , Dr. Madhvendra Mishra , Vijayshree Tiwari

As the cloud infrastructure grows, it becomes more challenging to manage resources in such a massive, diverse, and distributed setting, despite the fact that cloud computing provides computational capabilities on-demand. Due to resource…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-20 Sukhpal Singh Gill
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