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Cloud spot markets rent VMs for a variable price that is typically much lower than the price of on-demand VMs, which makes them attractive for a wide range of large-scale applications. However, applications that run on spot VMs suffer from…

Networking and Internet Architecture · Computer Science 2018-09-11 Supreeth Shastri , David Irwin

Current serverless offerings give users a limited degree of flexibility for configuring the resources allocated to their function invocations by either coupling memory and CPU resources together or providing no knobs at all. These…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-06-01 Muhammad Bilal , Marco Canini , Rodrigo Fonseca , Rodrigo Rodrigues

The proliferation in data volume and processing requests calls for a new breed of on-demand computing. Fog computing is proposed to address the limitations of cloud computing by extending processing and storage resources to the edge of the…

Networking and Internet Architecture · Computer Science 2019-04-24 Hatem A. Alharbi , Taisir E. H. Elgorashi , Jaafar M. H. Elmirghani

As cloud computing services rapidly expand their customer base, it has become important to share cloud resources, so as to provide them economically. In cloud computing services, multiple types of resources, such as processing ability,…

Networking and Internet Architecture · Computer Science 2012-04-06 Shin-ichi Kuribayashi

Owing to their cost-effectiveness and flexibility, cloud services have been the default choice for the deployment of innumerable software systems over the years. However, novel paradigms are beginning to emerge, as the cloud can't meet the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-29 Tamara Ranković , Ivana Kovačević , Veljko Maksimović , Goran Sladić , Miloš Simić

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…

Saving energy is an important issue for cloud providers to reduce energy cost in a data center. With the increasing popularity of cloud computing, it is time to examine various energy reduction methods for which energy consumption could be…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-12-21 Nasrin Akhter , Mohamed Othman , Ranesh Kumar Naha

In many datacenters, server racks are highly underutilized. Rack slots are left empty to keep the sum of the server nameplate maximum power below the power provisioned to the rack. And the servers that are placed in the rack cannot make…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-12 Yong Fu , Anne Holler , Chenyang Lu

Efficient resource allocation is essential in cloud systems to facilitate resource sharing among tenants. However, the growing scale of these optimization problems have outpaced commercial solvers commonly employed in production. To…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-06-17 Zhiying Xu , Minlan Yu , Francis Y. Yan

Cloud computing is a technological advancement in the arena of computing and has taken the utility vision of computing a step further by providing computing resources such as network, storage, compute capacity and servers, as a service via…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-12-30 Mansaf Alam , Kashish Ara Shakil

Spot instances are virtual machines offered at 60-90% lower cost that can be reclaimed at any time, with only a short warning period. Spot instances have already been used to significantly reduce the cost of processing workloads in the…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-24 Malte Brodmann , Nikolas Ioannou , Bernard Metzler , Jonas Pfefferle , Ana Klimovic

Cloud multi-tenancy is typically constrained to a single interactive service colocated with one or more batch, low-priority services, whose performance can be sacrificed when deemed necessary. Approximate computing applications offer the…

Performance · Computer Science 2018-04-17 Neeraj Kulkarni , Feng Qi , Christina Delimitrou

Application partitioning and code offloading are being researched extensively during the past few years. Several frameworks for code offloading have been proposed. However, fewer works attempted to address issues occurred with its…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-21 Nevin Vunka Jungum , Nawaz Mohamudally , Nimal Nissanke

Cloud services have grown rapidly in recent years, which provide high flexibility for cloud users to fulfill their computing requirements on demand. To wisely allocate computing resources in the cloud, it is inevitably important for cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-11-13 Shengwei Chen , Yanyan Shen , Yanmin Zhu

The rapid cloud computing growth has turned data center energy consumption into a global problem. At the same time, modern cloud providers operate multiple geographically-distributed data centers. Distributed data center infrastructure…

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

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

The virtualization of compute and network resources enables an unseen flexibility for deploying network services. A wide spectrum of emerging technologies allows an ever-growing range of orchestration possibilities in cloud-based…

Networking and Internet Architecture · Computer Science 2019-11-19 Steven Van Rossem , Wouter Tavernier , Didier Colle , Mario Pickavet , Piet Demeester

Cloud platforms are increasingly being used to run HPC workloads. Major cloud providers offer a wide variety of virtual machine (VM) types, enabling users to find the optimal balance between performance and cost. However, this extensive…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-11-26 Marco A. S. Netto

Serverless computing that runs functions with auto-scaling is a popular task execution pattern in the cloud-native era. By connecting serverless functions into workflows, tenants can achieve complex functionality. Prior researches adopt the…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-01 Zijun Li , Chuhao Xu , Quan Chen , Jieru Zhao , Chen Chen , Minyi Guo

We consider the problem of scheduling serverless-computing instances such as Amazon Lambda functions, or scheduling microservices within (privately held) virtual machines (VMs). Instead of a quota per tenant/customer, we assume demand for…

Performance · Computer Science 2020-01-01 George Kesidis
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