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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

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

Workflow management systems (WMS) support the composition and deployment of workflow-oriented applications in distributed computing environments. They hide the complexity of managing large-scale applications, which includes the controlling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-06-04 Muhammad H. Hilman , Maria A. Rodriguez , Rajkumar Buyya

Recently, the IaaS (Infrastructure as a Service) Cloud (e.g., Amazon EC2) has been widely used by many organizations. However, some IaaS security issues create serious threats to its users. A typical issue is the timing channel. This kind…

Cryptography and Security · Computer Science 2018-04-06 Xiao Fu , Rui Yang , Xiaojiang Du , Bin Luo

Cloud computing is a new paradigm where data and services of Information Technology are provided via the Internet by using remote servers. It represents a new way of delivering computing resources allowing access to the network on demand.…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-02 Abdellah Idrissi , Faouzia Zegrari

Cloud computing is widely adopted by corporate as well as retail customers to reduce the upfront cost of establishing computing infrastructure. However, switching to the cloud based services poses a multitude of questions, both for…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-22 M P Gilesh

Performing efficient resource provisioning is a fundamental aspect for any resource provider. Local Resource Management Systems (LRMS) have been used in data centers for decades in order to obtain the best usage of the resources, providing…

In this paper, we study the market-oriented online bi-objective service scheduling problem for pleasingly parallel jobs with variable resources in cloud environments, from the perspective of SaaS (Software-as-as-Service) providers who…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-18 Bingbing Zheng , Li Pan , Shijun Liu

Cloud-based computing infrastructure provides an efficient means to support real-time processing workloads, e.g., virtualized base station processing, and collaborative video conferencing. This paper addresses resource allocation for a…

Networking and Internet Architecture · Computer Science 2016-03-08 Yuhuan Du , Gustavo de Veciana

With an ever growing number of heterogeneous applicational services running on equally heterogeneous computational systems, the problem of resource management becomes more essential. Although current solutions consider some network and time…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-05 Rui Eduardo Lopes , Duarte Raposo , Pedro V. Teixeira , Susana Sargento

Cloud computing has radically changed the way organisations operate their software by allowing them to achieve high availability of services at affordable cost. Containerized microservices is an enabling technology for this change, and…

As particle accelerator control systems evolve in complexity and scale, the need for responsive, scalable, and cost-effective computational infrastructure becomes increasingly critical. Function-as-a-Service (FaaS) offers an alternative to…

Accelerator Physics · Physics 2025-12-11 A. Jaikar , J. Diamond , A. Tiradani , B. Harrison

In Wolke et al. [1] we compare the efficiency of different resource allocation strategies experimentally. We focused on dynamic environments where virtual machines need to be allocated and deallocated to servers over time. In this companion…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-03-02 Andreas Wolke , Martin Bichler , Fernando Chirigati , Victoria Steeves

Efficient virtual machine load balancing scheduling is crucial in cloud computing to optimize resource utilization and system performance. To address this issue, several load balancing scheduling algorithms have been proposed, including…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Priyank Vaidya , Abhinav Sharma , Murli Patel

Cloud computing is an increasingly popular computing paradigm, now proving a necessity for utility computing services. Each provider offers a unique service portfolio with a range of resource configurations. Resource provisioning for cloud…

Networking and Internet Architecture · Computer Science 2016-11-17 Mohamed Abu Sharkh , Manar Jammal , Abdallah Shami , Abdelkader Ouda

We present an Edge-as-a-Service (EaaS) platform for realising distributed cloud architectures and integrating the edge of the network in the computing ecosystem. The EaaS platform is underpinned by (i) a lightweight discovery protocol that…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-10-30 Blesson Varghese , Nan Wang , Jianyu Li , Dimitrios S. Nikolopoulos

With the rapid expansion of cloud computing applications, optimizing resource allocation has become crucial for improving system performance and cost efficiency. This paper proposes an intelligent resource allocation algorithm that…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-08 Yuqing Wang , Xiao Yang

Software as a service (SaaS) has recently enjoyed much attention as it makes the use of software more convenient and cost-effective. At the same time, the arising of users' expectation for high quality service such as real-time information…

Software Engineering · Computer Science 2016-04-13 Feng-Lin Li , Chi-Hung Chi , Yue Wang , Cong Liu

In recent years, the integration of artificial intelligence (AI) and cloud computing has emerged as a promising avenue for addressing the growing computational demands of AI applications. This paper presents a comprehensive study of…

Machine Learning · Computer Science 2023-04-28 Neelesh Mungoli

This paper describes two tools that aim to support decision making during the migration of IT systems to the cloud. The first is a modeling tool that produces cost estimates of using public IaaS clouds. The tool enables IT architects to…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-15 Ali Khajeh-Hosseini , Ian Sommerville , Jurgen Bogaerts , Pradeep Teregowda
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