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The cloud computing paradigm offers on-demand services over the Internet and supports a wide variety of applications. With the recent growth of Internet of Things (IoT) based applications the usage of cloud services is increasing…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-07-10 Sukhpal Singh Gill , Rajkumar Buyya

In today's information technology (IT) era, a major part of the costs is being spent on computational needs. Enterprises are in efforts to increase their Return on Investment (ROI) and individuals are trying to reduce their costs. In this…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-05-05 Amin Keshavarzi , Abolfazl T. Haghighat , Mahdi Bohlouli

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…

Computer Science and Game Theory · Computer Science 2016-10-04 Kamal Jain , Tung Mai , Vijay V. Vazirani

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…

Data Structures and Algorithms · Computer Science 2014-03-04 Thomas Carli , Stéphane Henriot , Johanne Cohen , Joanna Tomasik

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…

Databases · Computer Science 2017-06-20 Yue Wang , Alexandra Meliou , Gerome Miklau

Many enterprise software systems supporting IT services are characterised by a need for a high computing capability and resource consumption (Armbrust et al. 2010; Buyya et al. 2008; Ko\c{c}ak et al. 2013). Cloud Computing initiatives have…

Software Engineering · Computer Science 2021-09-07 Mahdi Fahmideh , Graham Low , Ghassan Beydoun

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

Cloud Computing is a paradigm of both parallel processing and distributed computing. It offers computing facilities as a utility service in pay as par use manner. Virtualization, self service provisioning, elasticity and pay per use are the…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-12-20 Syed Arshad Ali , Mansaf Alam

Cloud elasticity - the ability to use as much resources as needed at any given time - and low cost - a user pays only for the resources it consumes - represent solid incentives for many organizations to migrate some of their computational…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-07-15 Ashkan Paya , Dan C. Marinescu

The increasing demand for diverse, mobile applications with various degrees of Quality of Service requirements meets the increasing elasticity of on-demand resource provisioning in virtualized cloud computing infrastructures. This paper…

Networking and Internet Architecture · Computer Science 2018-07-10 Ronny Hans , Björn Richerzhagen , Amr Rizk , Ulrich Lampe , Ralf Steinmetz , Sabrina Klos , Anja Klein

There exist multitudes of cloud performance metrics, including workload performance, application placement, software/hardware optimization, scalability, capacity, reliability, agility and so on. In this paper, we consider jointly optimizing…

Performance · Computer Science 2016-11-24 Li Chen , Colin Cunningham , Pooja Jain , Chenggang Qin , Kingsum Chow

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-09-01 Gourav Saha , Ramkrishna Pasumarthy

Datacenter designers rely on conservative estimates of IT equipment power draw to provision resources. This leaves resources underutilized and requires more datacenters to be built. Prior work has used power capping to shave the rare power…

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

Data warehouse performance is usually achieved through physical data structures such as indexes or materialized views. In this context, cost models can help select a relevant set ofsuch performance optimization structures. Nevertheless,…

Cloud data lakes provide a modern solution for managing large volumes of data. The fundamental principle behind these systems is the separation of compute and storage layers. In this architecture, inexpensive cloud storage is utilized for…

Databases · Computer Science 2025-10-20 Gregory , Weintraub

After the advent of the Internet of Things and 5G networks, edge computing became the center of attraction. The tasks demanding high computation are generally offloaded to the cloud since the edge is resource-limited. The Edge Cloud is a…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-21 Hassan Asghar , Eun-Sung Jung

The pay-as-you-go model supported by existing cloud infrastructure providers is appealing to most application service providers to deliver their applications in the cloud. Within this context, elasticity of applications has become one of…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-11-17 Rui Han

Cloud computing has become the leading paradigm for deploying large-scale infrastructures and running big data applications, due to its capacity of achieving economies of scale. In this work, we focus on one of the most prominent advantages…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-05-20 Athanasios Naskos , Emmanouela Stachtiari , Anastasios Gounaris , Panagiotis Katsaros , Dimitrios Tsoumakos , Ioannis Konstantinou , Spyros Sioutas

Dynamic nature of the cloud environment has made distributed resource management process a challenge for cloud service providers. The importance of maintaining the quality of service in accordance with customer expectations as well as the…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-08 Sara Kardani-Moghaddam , Rajkumar Buyya , Kotagiri Ramamohanarao