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Premier cloud service providers (CSPs) offer two types of purchase options, namely on-demand and spot instances, with time-varying features in availability and price. Users like startups have to operate on a limited budget and similarly…

Performance · Computer Science 2021-06-04 Xiaohu Wu , Han Yu , Giuliano Casale , Guanyu Gao

Cloud providers sell their idle capacity on markets through an auction-like mechanism to increase their return on investment. The instances sold in this way are called spot instances. In spite that spot instances are usually 90% cheaper…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-03-08 Chenhao Qu , Rodrigo N. Calheiros , Rajkumar Buyya

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-11-03 William Voorsluys , Saurabh Kumar Garg , Rajkumar Buyya

Infrastructure-as-a-Service (IaaS) clouds offer diverse instance purchasing options. A user can either run instances on demand and pay only for what it uses, or it can prepay to reserve instances for a long period, during which a usage…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-05-27 Wei Wang , Baochun Li , Ben Liang

Amazon EC2 provides two most popular pricing schemes--i) the {\em costly} on-demand instance where the job is guaranteed to be completed, and ii) the {\em cheap} spot instance where a job may be interrupted. We consider a user can select a…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-03 Yang Zhang , Arnob Ghosh , Vaneet Aggarwal

Cloud computing providers are now offering their unused resources for leasing in the spot market, which has been considered the first step towards a full-fledged market economy for computational resources. Spot instances are virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-10-28 William Voorsluys , Rajkumar Buyya

Cost optimization is a common goal of workflow schedulers operating in cloud computing environments. The use of spot instances is a potential means of achieving this goal, as they are offered by cloud providers at discounted prices compared…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-08-07 Amanda Jayanetti , Saman Halgamuge , Rajkumar Buyya

We study the problem of scheduling delay-sensitive jobs over spot and on-demand cloud instances to minimize average cost while meeting an average delay constraint. Jobs arrive as a general stochastic process, and incur different costs based…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-21 Neelkamal Bhuyan , Randeep Bhatia , Murali Kodialam , TV Lakshman

Computation-as-a-Service (CaaS) offerings have gained traction in the last few years due to their effectiveness in balancing between the scalability of Software-as-a-Service and the customisation possibilities of Infrastructure-as-a-Service…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Joseph Doyle , Vasileios Giotsas , Mohammad Ashraful Anam , Yiannis Andreopoulos

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

As foundation models grow in size, fine-tuning them becomes increasingly expensive. While GPU spot instances offer a low-cost alternative to on-demand resources, their volatile prices and availability make deadline-aware scheduling…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-12-25 Linggao Kong , Yuedong Xu , Lei Jiao , Chuan Xu

Cloud computing is becoming an almost ubiquitous part of the computing landscape. For many companies today, moving their entire infrastructure and workloads to the cloud reduces complexity, time to deployment, and saves money. Spot…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-30 Nnamdi Ekwe-Ekwe , Adam Barker

Cloud computing offers a variable-cost payment scheme that allows cloud customers to specify the price they are willing to pay for renting spot instances to run their applications at much lower costs than fixed payment schemes, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-13 Abdullah Alourani , Ajay D. Kshemkalyani

In late 2009, Amazon introduced spot instances to offer their unused resources at lower cost with reduced reliability. Amazon's spot instances allow customers to bid on unused Amazon EC2 capacity and run those instances for as long as their…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-11-07 Sunirmal Khatua , Nandini Mukherjee

This paper addresses the challenge of deadline-aware online scheduling for jobs in hybrid cloud environments, where jobs may run on either cost-effective but unreliable spot instances or more expensive on-demand instances, under hard…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-22 Neelkamal Bhuyan , Randeep Bhatia , Murali Kodialam , TV Lakshman

Cloud service platforms increasingly rely on elastic infrastructures to support dynamic workloads. Spot instances provide discounted computing resources but introduce uncertainty due to dynamic pricing, resource availability, and…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-05-22 Javier Fabra , Enrique Molina-Giménez , Pedro García-López

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-02-12 M. Uthaya Banu , K. Saravanan

By acquiring cloud-like capacities at the edge of a network, edge computing is expected to significantly improve user experience. In this paper, we formulate a hybrid edge-cloud computing system where an edge device with limited local…

Information Theory · Computer Science 2020-01-27 Thinh Quang Dinh , Ben Liang , Tony Q. S. Quek , Hyundong Shin

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…

Computer Science and Game Theory · Computer Science 2016-12-20 Darrell Hoy , Nicole Immorlica , Brendan Lucier

Mobile micro-clouds are promising for enabling performance-critical cloud applications. However, one challenge therein is the dynamics at the network edge. In this paper, we study how to place service instances to cope with these dynamics,…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-09-19 Shiqiang Wang , Rahul Urgaonkar , Ting He , Kevin Chan , Murtaza Zafer , Kin K. Leung
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