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Reducing the energy expended to carry out a computational task is important. In this work, we explore the prospects of meeting Quality-of-Service requirements of tasks on a multi-core system while adjusting resources to expend a minimum of…

Hardware Architecture · Computer Science 2019-11-14 Mehrzad Nejat , Madhavan Manivannan , Miquel Pericas , Per Stenstrom

Cloud computing provides a computing platform for the users to meet their demands in an efficient, cost-effective way. Virtualization technologies are used in the clouds to aid the efficient usage of hardware. Virtual machines (VMs) are…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-11-24 Umesh Bellur , Chetan S Rao , Madhu Kumar SD

Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of…

Performance · Computer Science 2021-02-09 Hossein Ahmadvand , Fouzhan Foroutan , Mahmood Fathy

Load balancing is vital for the efficient and long-term operation of cloud data centers. With virtualization, post (reactive) migration of virtual machines after allocation is the traditional way for load balancing and consolidation.…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-20 Wenhong Tian , Minxian Xu , Guangyao Zhou , Kui Wu , Chengzhong Xu , Rajkumar Buyya

In this paper, we conduct a study to optimize resource allocation for adaptive real-time and delay-tolerant applications in cellular systems. To represent the user applications via several devices and equipment, sigmoidal-like and logarithm…

Networking and Internet Architecture · Computer Science 2015-07-29 Zaid Kbah , Ahmed Abdelhadi

Resource provisioning plays a pivotal role in determining the right amount of infrastructure resource to run applications and target the global decarbonization goal. A significant portion of production clusters is now dedicated to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-08-29 Clement Mommessin , Renyu Yang , Natalia V. Shakhlevich , Xiaoyang Sun , Satish Kumar , Junqing Xiao , Jie Xu

Dynamic Voltage and Frequency Scaling (DVFS), CPU pinning, horizontal, and vertical scaling, are four techniques that have been proposed as actuators to control the performance and energy consumption on data center servers. This work…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-03-14 Jakub Krzywda , Ahmed Ali-Eldin , Trevor E. Carlson , Per-Olov Östberg , Erik Elmroth

One of the major challenges of cloud computing is the management of request-response coupling and optimal allocation strategies of computational resources for the various types of service requests. In the normal situations the intelligence…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-06-05 T. R. Gopalakrishnan Nair , P Jayarekha

Efficient resource allocation is challenging when privacy of users is important. Distributed approaches have recently been used extensively to find a solution for such problems. In this work, the efficiency of distributed AIMD algorithm for…

Computer Science and Game Theory · Computer Science 2018-04-23 Hamid Nabati , Jia Yuan Yu

Cloud computing is a style of computing in which dynamically scalable and other virtualized resources are provided as a service over the Internet. The energy consumption and makespan associated with the resources allocated should be taken…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-20 Wanneng Shu , Wei Wang , Yunji Wang

Serverless computing has emerged as a compelling new paradigm of cloud computing models in recent years. It promises the user services at large scale and low cost while eliminating the need for infrastructure management. On cloud provider…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-01 Lucia Schuler , Somaya Jamil , Niklas Kühl

Phase balancing is essential to safe power system operation. We consider a substation connected to multiple phases, each with single-phase loads, generation, and energy storage. A representative of the substation operates the system and…

Optimization and Control · Mathematics 2015-11-30 Sun Sun , Ben Liang , Min Dong , Joshua A. Taylor

We study the problem of optimizing data storage and access costs on the cloud while ensuring that the desired performance or latency is unaffected. We first propose an optimizer that optimizes the data placement tier (on the cloud) and the…

We consider "time-of-use" pricing as a technique for matching supply and demand of temporal resources with the goal of maximizing social welfare. Relevant examples include energy, computing resources on a cloud computing platform, and…

Computer Science and Game Theory · Computer Science 2017-04-11 Shuchi Chawla , Nikhil R. Devanur , Alexander E. Holroyd , Anna Karlin , James Martin , Balasubramanian Sivan

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

Wireless networks are evolving from radio resource providers to complex systems that also involve computing, with the latter being distributed across edge and cloud facilities. Also, their optimization is shifting more and more from a…

Computer Science and Game Theory · Computer Science 2025-08-08 Mandar Datar , Mattia Merluzzi

Dynamic offloading of Machine Learning (ML) model partitions across different resource orchestration services, such as Function-as-a-Service (FaaS) and Infrastructure-as-a-Service (IaaS), can balance processing and transmission delays while…

Machine Learning · Computer Science 2025-11-03 Zongshun Zhang , Ibrahim Matta

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-06-03 Rajkumar Buyya , Anton Beloglazov , Jemal Abawajy

We consider a task graph to be executed on a set of processors. We assume that the mapping is given, say by an ordered list of tasks to execute on each processor, and we aim at optimizing the energy consumption while enforcing a prescribed…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-08-03 Guillaume Aupy , Anne Benoit , Fanny Dufossé , Yves Robert

Internet-enabled things and devices operating in the physical world are increasingly integrated in modern distributed systems, supporting functionalities that require assurances that certain critical requirements are satisfied by the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-07-24 Christos Tsigkanos , Martin Garriga , Luciano Baresi , Carlo Ghezzi
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