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As cloud computing usage grows, cloud data centers play an increasingly important role. To maximize resource utilization, ensure service quality, and enhance system performance, it is crucial to allocate tasks and manage performance…

We consider an auto-scaling technique in a cloud system where virtual machines hosted on a physical node are turned on and off depending on the queue's occupation (or thresholds), in order to minimise a global cost integrating both energy…

最优化与控制 · 数学 2021-07-26 Thomas Tournaire , Hind Castel-Taleb , Emmanuel Hyon

The emerging computing continuum paves the way for exploiting multiple computing devices, ranging from the edge to the cloud, to implement the control algorithm. Different computing units over the continuum are characterized by different…

系统与控制 · 电气工程与系统科学 2025-03-11 Xiyu Gu , Matthias Pezzutto , Luca Schenato , Subhrakanti Dey

Task scheduling is a well-studied problem in the context of optimizing the Quality of Service (QoS) of cloud computing environments. In order to sustain the rapid growth of computational demands, one of the most important QoS metrics for…

分布式、并行与集群计算 · 计算机科学 2022-05-24 Shreshth Tuli , Giuliano Casale , Nicholas R. Jennings

Cloud computing is a newly emerging distributed computing which is evolved from Grid computing. Task scheduling is the core research of cloud computing which studies how to allocate the tasks among the physical nodes so that the tasks can…

分布式、并行与集群计算 · 计算机科学 2014-04-21 Kai Li , Yong Wang , Meilin Liu

Cloud computing is emerging as an important platform for business, personal and mobile computing applications. In this paper, we study a stochastic model of cloud computing, where jobs arrive according to a stochastic process and request…

性能 · 计算机科学 2012-06-07 Siva Theja Maguluri , R Srikant , Lei Ying

Bag of Distributed Tasks (BoDT) can benefit from decentralised execution on the Cloud. However, there is a trade-off between the performance that can be achieved by employing a large number of Cloud VMs for the tasks and the monetary…

分布式、并行与集群计算 · 计算机科学 2014-10-31 Long Thai , Blesson Varghese , Adam Barker

The advent of High Performance Computing (HPC) has provided the computational capacity required for power system operators (SO) to obtain solutions in the least time to highly-complex applications, i.e., Unit Commitment (UC). The UC…

分布式、并行与集群计算 · 计算机科学 2017-02-14 Mushfiqur R. Sarker , Jianhui Wang

Problem Definition: Allocating sufficient capacity to cloud services is a challenging task, especially when demand is time-varying, heterogeneous, contains batches, and requires multiple types of resources for processing. In this setting,…

应用统计 · 统计学 2022-09-21 Eugene Furman , Arik Senderovich , Shane Bergsma , J. Christopher Beck

With the rapid growth of the data volume and the fast increasing of the computational model complexity in the scenario of cloud computing, it becomes an important topic that how to handle users' requests by scheduling computational jobs and…

机器学习 · 计算机科学 2021-05-10 Zheqi Zhu , Pingyi Fan

In this work, we study the problem of online mechanism design for resources allocation and pricing in cloud computing (RAPCC). We show that in general the allocation problems in RAPCC are NP-hard, and therefore we focus on designing…

计算机科学与博弈论 · 计算机科学 2014-03-11 Weidong Ma , Bo Zheng , Tao Qin , Pingzhong Tang , Tie-Yan Liu

The increasingly wide application of Cloud Computing enables the consolidation of tens of thousands of applications in shared infrastructures. Thus, meeting the quality of service requirements of so many diverse applications in such shared…

分布式、并行与集群计算 · 计算机科学 2015-01-06 Lan Wang , Erol Gelenbe

This paper considers the scheduling of jobs on distributed, heterogeneous High Performance Computing (HPC) clusters. Market-based approaches are known to be efficient for allocating limited resources to those that are most prepared to pay.…

分布式、并行与集群计算 · 计算机科学 2016-02-01 Andrew Burkimsher , Leandro Soares Indrusiak

We consider a distributed server system consisting of a large number of servers, each with limited capacity on multiple resources (CPU, memory, disk, etc.). Jobs with different rewards arrive over time and require certain amounts of…

分布式、并行与集群计算 · 计算机科学 2020-05-29 Konstantinos Psychas , Javad Ghaderi

The Cloud Computing paradigm consists in providing customers with virtual services of the quality which meets customers' requirements. A cloud service operator is interested in using his infrastructure in the most efficient way while…

数据结构与算法 · 计算机科学 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

Cloud computing is becoming an essential component of modern computer and communication systems. The available resources at the cloud such as computing nodes, storage, databases, etc. are often packaged in the form of virtual machines (VMs)…

分布式、并行与集群计算 · 计算机科学 2019-12-03 Muhammad Junaid Farooq , Quanyan Zhu

Cloud Robotics is helping to create a new generation of robots that leverage the nearly unlimited resources of large data centers (i.e., the cloud), overcoming the limitations imposed by on-board resources. Different processing power,…

机器人学 · 计算机科学 2024-12-03 Saeid Alirezazadeh , Luís A. Alexandre

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

分布式、并行与集群计算 · 计算机科学 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer…

分布式、并行与集群计算 · 计算机科学 2022-12-13 Sakshi Chhabra , Ashutosh Kumar Singh

Data centers have become ubiquitous for today's businesses. From banks to startups, they rely on cloud infrastructure to deploy user applications. In this context, it is vital to provide users with application performance guarantees.…

网络与互联网体系结构 · 计算机科学 2024-08-26 Diana Andreea Popescu