English
Related papers

Related papers: Saving Money for Analytical Workloads in the Cloud

200 papers

Cloud service providers are distributing data centers geographically to minimize energy costs through intelligent workload distribution. With increasing data volumes in emerging cloud workloads, it is critical to factor in the network costs…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-02 Ninad Hogade , Sudeep Pasricha , Howard Jay Siegel

Resource allocation for cloud services is a complex task due to the diversity of the services and the dynamic workloads. One way to address this is by overprovisioning which results in high cost due to the unutilized resources. A much more…

Data Structures and Algorithms · Computer Science 2015-03-10 Galia Shabtai , Danny Raz , Yuval Shavitt

Data-management-as-a-service systems are increasingly being used in collaborative settings, where multiple users access common datasets. Cloud providers have the choice to implement various optimizations, such as indexing or materialized…

Databases · Computer Science 2015-03-20 Prasang Upadhyaya , Magdalena Balazinska , Dan Suciu

Edge computing provides a cloud-like architecture where small-scale resources are distributed near the network edge, enabling applications on resource-constrained devices to offload latency-critical computations to these resources. While…

Performance · Computer Science 2026-01-13 Muhammad Danish Waseem , Ahmed Ali-Eldin

It is estimated that data centers constitute 1.5% of global electricity usage. At the same time, to serve increasing user requirements, modern cloud providers are operating multiple geographically distributed data centers. Distributed data…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-09-18 Dražen Lučanin

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 computing provisions computer resources at a cost-effective way based on demand. Therefore it has become a viable solution for big data analytics and artificial intelligence which have been widely adopted in various domain science.…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-30 Naweiluo Zhou , Florent Dufour , Vinzent Bode , Peter Zinterhof , Nicolay J Hammer , Dieter Kranzlmüller

Cloud computing is continually evolving, enhancing hardware technologies, improving software and enhancing business processes. A payroll management system deployed on the Cloud harnesses on-demand of delivery of computational power and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-02-25 Adeyemi Aina , Isaac Odun-Ayo

Commercial cloud platforms are a powerful technology for astronomical research. Despite the benefits of cloud computing -- such as on-demand scalability and reduction of systems management overhead -- confusion over how to manage costs…

Instrumentation and Methods for Astrophysics · Physics 2020-12-16 G. Bruce Berriman , William O'Mullane , Arik Mitschang , Ivelina Momcheva

Cloud computing infrastructures increasingly rely on geographically distributed data centers to meet the growing demand for low latency, high availability, and cost-efficient service delivery. In this context, load balancing plays a…

Distributed, Parallel, and Cluster Computing · Computer Science 2026-02-12 Saeid Aghasoleymani Najafabadi , Elaheh Nabavi Nia

This paper considers a traditional problem of resource allocation, scheduling jobs on machines. One such recent application is cloud computing, where jobs arrive in an online fashion with capacity requirements and need to be immediately…

Data Structures and Algorithms · Computer Science 2017-05-29 Maxime C. Cohen , Philipp W. Keller , Vahab Mirrokni , Morteza Zadimoghaddam

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…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-04-10 Pradeep Ambati , Noman Bashir , David Irwin , Mohammad Hajiesmaili , Prashant Shenoy

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

The advent of serverless computing has revolutionized the landscape of cloud computing, offering a new paradigm that enables developers to focus solely on their applications rather than managing and provisioning the underlying…

Software Engineering · Computer Science 2023-11-23 Muhammad Hamza , Muhammad Azeem Akbar , Rafael Capilla

Transactional cloud applications such as payment, booking, reservation systems, and complex business workflows are currently being rewritten for deployment in the cloud. This migration to the cloud is happening mainly for reasons of cost…

Integration as a service (INTaaS) is the centrepiece of current corporate, cloud and device integration processes. Thereby, compositions of integration patterns denote the required integration logic as integration processes, currently…

Software Engineering · Computer Science 2021-08-30 Daniel Ritter

Cloud computing helps reduce costs, increase business agility and deploy solutions with a high return on investment for many types of applications, including data warehouses and on-line analytical processing. However, storing and…

Databases · Computer Science 2017-01-20 Varunya Attasena , Nouria Harbi , Jérôme Darmont

In this paper, we intend to reduce the operational cost of cloud data centers with the help of fog devices, which can avoid the revenue loss due to wide-area network propagation delay and save network bandwidth cost by serving nearby cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-08-04 Liang Yu , Tao Jiang , Yulong Zou

Recent technology advancements in the areas of compute, storage and networking, along with the increased demand for organizations to cut costs while remaining responsive to increasing service demands have led to the growth in the adoption…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-07-31 Frederick Nwanganga , Mandana Saebi , Gregory Madey , Nitesh Chawla

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