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In cloud computing, users scale their resources (computational) based on their need. There is massive literature dealing with such resource scaling algorithms. These works ignore a fundamental constrain imposed by all Cloud Service…

分布式、并行与集群计算 · 计算机科学 2015-09-01 Gourav Saha , Ramkrishna Pasumarthy

We examine the problem of managing a server farm in a way that attempts to maximize the net revenue earned by a cloud provider by renting servers to customers according to a typical Platform-as-a-Service model. The Cloud provider offers its…

分布式、并行与集群计算 · 计算机科学 2015-03-19 Michele Mazzucco , Marlon Dumas

With the rapid growth of the cloud computing marketplace, the issue of pricing resources in the cloud has been the subject of much study in recent years. In this paper, we identify and study a new issue: how to price resources in the cloud…

计算机科学与博弈论 · 计算机科学 2016-10-04 Kamal Jain , Tung Mai , Vijay V. Vazirani

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…

性能 · 计算机科学 2019-09-04 Xiaohu Wu , Francesco De Pellegrini , Guanyu Gao , Giuliano Casale

We consider a seller who offers services to a buyer with multi-unit demand. Prior to the realization of demand, the buyer receives a noisy signal of their future demand, and the seller can design contracts based on the reported value of…

理论经济学 · 经济学 2025-02-13 Dirk Bergemann , Michael C. Wang

In Amazon EC2, cloud resources are sold through a combination of an on-demand market, in which customers buy resources at a fixed price, and a spot market, in which customers bid for an uncertain supply of excess resources. Standard market…

计算机科学与博弈论 · 计算机科学 2016-12-20 Darrell Hoy , Nicole Immorlica , Brendan Lucier

Algorithms, policies, and methodologies are necessary to achieve high user satisfaction and practical utilization in cloud computing by ensuring the efficient and fair allocation of every computing resource. Whenever a new job arrives in…

分布式、并行与集群计算 · 计算机科学 2015-03-12 Mohammed Radi

Selling reserved instances (or virtual machines) is a basic service in cloud computing. In this paper, we consider a more flexible pricing model for instance reservation, in which a customer can propose the time length and number of…

计算机科学与博弈论 · 计算机科学 2016-11-23 Jia Zhang , Weidong Ma , Tao Qin , Xiaoming Sun , Tie-Yan Liu

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

The availability of public computing resources in the cloud has revolutionized data analysis, but requesting cloud resources often involves complex decisions for consumers. Under the current pricing mechanisms, cloud service providers offer…

数据库 · 计算机科学 2017-06-20 Yue Wang , Alexandra Meliou , Gerome Miklau

Infrastructure-as-a-Service providers are offering their unused resources in the form of variable-priced virtual machines (VMs), known as "spot instances", at prices significantly lower than their standard fixed-priced resources. To lease…

分布式、并行与集群计算 · 计算机科学 2011-11-03 William Voorsluys , Saurabh Kumar Garg , Rajkumar Buyya

This paper considers a Markov decision model for profit maximization of a cloud computing service provider catering to customers submitting jobs with firm real-time random deadlines. Customers are charged on a per-job basis, receiving a…

最优化与控制 · 数学 2021-04-27 José Niño-Mora

Cloud service brokerage is an emerging technology that attempts to simplify the consumption and operation of hybrid clouds. Today's cloud brokers attempt to insulate consumers from the vagaries of multiple clouds. To achieve the insulation,…

分布式、并行与集群计算 · 计算机科学 2022-05-12 Sreekrishnan Venkateswaran , Santonu Sarkar

Cloud computing allow the users to efficiently and dynamically provision computing resource to meet their IT needs. Cloud Provider offers two subscription plan to the customer namely reservation and on-demand. The reservation plan is…

分布式、并行与集群计算 · 计算机科学 2014-02-12 M. Uthaya Banu , K. Saravanan

Cloud platforms offer the same VMs under many purchasing options that specify different costs and time commitments, such as on-demand, reserved, sustained-use, scheduled reserve, transient, and spot block. In general, the stronger the…

分布式、并行与集群计算 · 计算机科学 2020-04-10 Pradeep Ambati , Noman Bashir , David Irwin , Mohammad Hajiesmaili , Prashant Shenoy

A mobile cloud computing system is composed of heterogeneous services and resources to be allocated by the cloud service provider to mobile cloud users. On one hand, some of these resources are substitutable (e.g., users can use storage…

分布式、并行与集群计算 · 计算机科学 2013-04-24 Yang Zhang , Dusit Niyato , Ping Wang

Cloud providers have introduced pricing models to incentivize long-term commitments of compute capacity. These long-term commitments allow the cloud providers to get guaranteed revenue for their investments in data centers and computing…

分布式、并行与集群计算 · 计算机科学 2025-05-01 Murray Stokely , Neel Nadgir , Jack Peele , Orestis Kostakis

On-demand resource provisioning in cloud computing provides tailor-made resource packages (typically in the form of VMs) to meet users' demands. Public clouds nowadays provide more and more elaborated types of VMs, but have yet to offer the…

计算机科学与博弈论 · 计算机科学 2016-11-24 Xiaoxi Zhang , Chuan Wu , Zongpeng Li , Francis C. M. Lau

With the rapidly growing demand for the cloud services, a need for efficient methods to trade computing resources increases. Commonly used fixed-price model is not always the best approach for trading cloud resources, because of its…

计算机科学与博弈论 · 计算机科学 2014-02-03 Sergei Chichin , Quoc Bao Vo , Ryszard Kowalczyk

Today, static cloud markets where consumers purchase services directly from providers are dominating. Thus, consumers neither negotiate the price nor the characteristics of the service. In recent years, providers have adopted more dynamic…

计算机科学与博弈论 · 计算机科学 2025-07-15 Benedikt Pittl , Werner Mach , Erich Schikuta
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