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In-memory (transactional) data stores are recognized as a first-class data management technology for cloud platforms, thanks to their ability to match the elasticity requirements imposed by the pay-as-you-go cost model. On the other hand,…

Containerization technology offers lightweight OS-level virtualization, and enables portability, reproducibility, and flexibility by packing applications with low performance overhead and low effort to maintain and scale them. Moreover,…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-22 Peini Liu , Jordi Guitart

Containers, enabling lightweight environment and performance isolation, fast and flexible deployment, and fine-grained resource sharing, have gained popularity in better application management and deployment in addition to hardware…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-06 Maria A. Rodriguez , Rajkumar Buyya

The energy consumption of computer and communication systems does not scale linearly with the workload. A system uses a significant amount of energy even when idle or lightly loaded. A widely reported solution to resource management in…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-01-13 Ashkan Paya , Dan C. Marinescu

We consider robust resource allocation of services in Clouds. More specifically, we consider the case of a large public or private Cloud platform that runs a relatively small set of large and independent services. These services are…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-22 Olivier Beaumont , Lionel Eyraud-Dubois , Paul Renaud-Goud

Cloud Computing paradigm has revolutionized IT industry and be able to offer computing as the fifth utility. With the pay-as-you-go model, cloud computing enables to offer the resources dynamically for customers anytime. Drawing the…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-02-13 Qiheng Zhou , Minxian Xu , Sukhpal Singh Gill , Chengxi Gao , Wenhong Tian , Chengzhong Xu , Rajkumar Buyya

Clustering is one of the major tasks in data mining. In the last few years, Clustering of spatial data has received a lot of research attention. Spatial databases are components of many advanced information systems like geographic…

Databases · Computer Science 2012-06-04 Mohamed A. El-Zawawy

Security and confidentiality of big data stored in the cloud are important concerns for many organizations to adopt cloud services. One common approach to address the concerns is client-side encryption where data is encrypted on the client…

Cryptography and Security · Computer Science 2019-08-15 SM Zobaed , Sahan Ahmad , Raju Gottumukkala , Mohsen Amini Salehi

Distributed systems store data objects redundantly to balance the data access load over multiple nodes. Load balancing performance depends mainly on 1) the level of storage redundancy and 2) the assignment of data objects to storage nodes.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-12-19 Mehmet Aktas , Emina Soljanin

The extent and importance of cloud computing is rapidly increasing due to the ever increasing demand for internet services and communications. Instead of building individual information technology infrastructure to host databases or…

Cryptography and Security · Computer Science 2014-05-01 Wen Zeng , Chunyan Mu , Maciej Koutny , Paul Watson

Cloud computing provides a great opportunity for scientists, as it enables large-scale experiments that cannot are too long to run on local desktop machines. Cloud-based computations can be highly parallel, long running and data-intensive,…

Software Engineering · Computer Science 2016-12-07 Maria Spichkova , Heinz W. Schmidt , Ian E. Thomas , Iman I. Yusuf , Steve Androulakis , Grischa R. Meyer

With the rapid growth and increasing complexity of industrial big data, traditional data processing methods are facing many challenges. This article takes an in-depth look at the application of cloud computing technology in industrial big…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-16 Ziyan Yao

We analyze a recently published dataset of 396 real-world cloud architectures deployed on AWS, from companies belonging to a wide range of industries. From this dataset, we identify those architectures that contain HPC or edge components…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-08-05 Steven Santillan , Cristina L. Abad

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

In recent past, big data opportunities have gained much momentum to enhance knowledge management in organizations. However, big data due to its various properties like high volume, variety, and velocity can no longer be effectively stored…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-02-16 Mohammad Shorfuzzaman

This paper designs and implements a high availability clusters and incorporated with load balance infrastructure of web servers. The paper described system can provide full facilities to the website hosting provider and large business…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-01 A B M Moniruzzaman , Md. Waliullah , Md. Sadekur Rahman

The use of High Performance Computing (HPC) in commercial and consumer IT applications is becoming popular. They need the ability to gain rapid and scalable access to high-end computing capabilities. Cloud computing promises to deliver such…

Distributed, Parallel, and Cluster Computing · Computer Science 2009-09-08 Saurabh Kumar Garg , Chee Shin Yeo , Arun Anandasivam , Rajkumar Buyya

As Clouds are complex, large-scale, and heterogeneous distributed systems, management of their resources is a challenging task. They need automated and integrated intelligent strategies for provisioning of resources to offer services that…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Rajkumar Buyya , Rodrigo N. Calheiros , Xiaorong Li

Microservice architectures have become the dominant paradigm for cloud-native systems, offering flexibility and scalability. However, this shift has also led to increased demand for cloud resources, contributing to higher energy consumption…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-01-13 Julian Legler , Sebastian Werner , Maria C. Borges , Stefan Tai

Cloud computing has been shown to be an essential enabling technology for public sector organizations PSOs and offers numerous potential benefits, including reduced information technology infrastructure costs, increased innovation…

Computers and Society · Computer Science 2026-01-13 Mark Theby
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