Results 21 to 30 of about 181,670 (124)

Self‐adaptation on parallel stream processing: A systematic review

Concurrency and Computation: Practice and Experience, Volume 34, Issue 6, 10 March 2022., 2022
Summary A recurrent challenge in real‐world applications is autonomous management of the executions at run‐time. In this vein, stream processing is a class of applications that compute data flowing in the form of streams (e.g., video feeds, images, and data analytics), where parallel computing can help accelerate the executions. On the one hand, stream
Adriano Vogel, Dalvan Griebler, Marco Danelutto, Luiz Gustavo Fernandes   +3 more
wiley   +1 more source

Towards SLA‐Driven Autoscaling of Cloud Distributed Services for Mobile Communications

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
In recent years cloud computing has established itself as the computing paradigm that supports most distributed systems, which are essential in mobile communications, such as publish‐subscribe (pub/sub) systems or complex event processing (CEP). The cornerstone of cloud computing is elasticity, and today’s autoscaling systems leverage that property by ...
Carlos Miguel, Víctor Rampérez, Javier Soriano, Shadi Aljawarneh, Claudio Agostino Ardagna   +4 more
wiley   +1 more source

Autoscaling through Self-Adaptation Approach in Cloud Infrastructure. A Hybrid Elasticity Management Framework Based Upon MAPE (Monitoring-Analysis-Planning-Execution) Loop, to Ensure Desired Service Level Objectives (SLOs) [PDF]

, 2019
The project aims to propose MAPE based hybrid elasticity management framework on the basis of valuable insights accrued during systematic analysis of relevant literature. Each stage of MAPE process acts independently as a black box in proposed framework,
Butt, Sarfraz S.
core   +8 more sources

Resource Provisioning Techniques in Multi‐Access Edge Computing Environments: Outlook, Expression, and Beyond

Mobile Information Systems, Volume 2022, Issue 1, 2022., 2022
Mobile cloud computing promises a research foundation in information and communication technology (ICT). Multi‐access edge computing is an intermediate solution that reduces latency by delivering cloud computing services close to IoT and mobile clients (MCs), hence addressing the performance issues of mobile cloud computing.
S. Durga, Esther Daniel, J. Andrew Onesimu, Yuichi Sei, Giovanni Nardini   +4 more
wiley   +1 more source

Function delivery network: Extending serverless computing for heterogeneous platforms

Software: Practice and Experience, Volume 51, Issue 9, Page 1936-1963, September 2021., 2021
Summary Serverless computing has rapidly grown following the launch of Amazon's Lambda platform. Function‐as‐a‐Service (FaaS) a key enabler of serverless computing allows an application to be decomposed into simple, standalone functions that are executed on a FaaS platform.
Anshul Jindal, Michael Gerndt, Mohak Chadha, Vladimir Podolskiy, Pengfei Chen   +4 more
wiley   +1 more source

Remote and Rural Connectivity: Infrastructure and Resource Sharing Principles

Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021
As mobile networks (MNs) are advancing towards meeting mobile user requirements, the rural‐urban divide still remains a major challenge. While areas within the urban space (metropolitan mobile space) are being developed, i.e., small Base Stations (BSs) empowered with computing capabilities are deployed to improve the delivery of user requirements ...
Thembelihle Dlamini, Sifiso Vilakati, Issa Elfergani   +2 more
wiley   +1 more source

ATOM: Model-Driven Autoscaling for Microservices [PDF]

, 2019
This dataset release supports the results presented in the paper "ATOM: Model-Driven Autoscaling for Microservices", by A. U. Gias, G. Casale and M.
Gias, Alim, Murray Woodside, Gias, Alim Ul (6591389), Casale, Giuliano (5241940), Casale, Giuliano, Woodside, Murray, Woodside, Murray (6591392), Giuliano Casale, Gias, Alim Ul, Alim Ul Gias, Woodside, M., Gias, A.U., Casale, G.   +12 more
core   +2 more sources

A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center

Neurocomputing, 2021
This work proposes an energy-efficient resource provisioning and allocation framework to meet the dynamic demands of future applications. The frequent variations in a cloud user's resource demand lead 'to the problem of excess power consumption, resource wastage, performance, and Quality-of-Service degradation.
Deepika Saxena, Ashutosh Kumar Singh 0001   +1 more
openaire   +4 more sources

Self-aware and self-adaptive autoscaling for cloud based services [PDF]

, 2016
Modern Internet services are increasingly leveraging on cloud computing for flexible, elastic and on-demand provision. Typically, Quality of Service (QoS) of cloud-based services can be tuned using different underlying cloud configurations and resources,
Chen, Tao
core   +6 more sources

Enhancing Cloud Efficiency using Intelligent Autoscaling Algorithms [PDF]

, 2023
Cloud computing has revolutionized the way data and applications are managed, offering scalable, flexible, and cost-effective solutions. A critical aspect of cloud computing is autoscaling, the ability to dynamically adjust computing resources to match ...
Rahane, Pushkar Deodatta
core   +2 more sources