Brownout approach for adaptive management of resources and applications in cloud computing systems: A taxonomy and future directions

M Xu, R Buyya - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Cloud computing has been regarded as an emerging approach to provisioning resources
and managing applications. It provides attractive features, such as an on-demand model …

Investigating energy consumption and performance trade-off for interactive cloud application

MS Hasan, F Alvares, T Ledoux… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
With the ever growing demand and popularity of cloud based services, data centers have to
urgently face energy consumption issue. Similar to other large consumers of power, data …

Performance prediction for supporting mobile applications' offloading

TF da Silva Pinheiro, FA Silva, I Fé, S Kosta… - The Journal of …, 2018 - Springer
Mobile cloud computing (MCC) is a technique for increasing the performance of mobile apps
and reducing their energy consumption through code and data offloading. Developers may …

[PDF][PDF] Learning-based Adaptation Framework for Elastic Software Systems.

Y Sun, X Cai, KA Loparo - SEKE, 2019 - ksiresearch.org
Adaptation is a concern for elastic software systems. Conventional methods like Brownout
try to deactivate optional computation per request after decoupling the software into different …

A bigraphical model for specifying cloud-based elastic systems and their behaviour

H Sahli, N Hameurlain, F Belala - International Journal of Parallel …, 2017 - Taylor & Francis
The few recent years have witnessed the appearance of a new kind of self-adaptive systems
called cloud based-elastic systems. These systems are particularly appealing for their ability …

[图书][B] Analytic methods in systems and software testing

RS Kenett, F Ruggeri, FW Faltin - 2018 - Wiley Online Library
Analytic methods in systems and software testing Analytic Methods in Systems and Software
Testing Page 2 Analytic Methods in Systems and Software Testing Edited by Ron S. Kenett …

Autonomic elasticity control for multi-server queues under generic workload surges in cloud environments

V Tadakamalla, DA Menascé - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
Cloud computing environments and Internet datacenters consist of a multitude of servers
that process user requests. Performance and scalability can suffer greatly when the …

[HTML][HTML] Towards a fuzzy bigraphical multi agent system for cloud of clouds elasticity management

R Moudjari, Z Sahnoun, F Belala - International Journal of Approximate …, 2018 - Elsevier
A major ingredient that encourages the wide adoption of Cloud Computing solution is their
ability to allocate and des-allocate resources in automatic and optimal manner according to …

Enabling green energy awareness in interactive cloud application

MS Hasan, FA de Oliveira, T Ledoux… - … Conference on Cloud …, 2016 - ieeexplore.ieee.org
With the proliferation of Cloud computing, data centers have to urgently face energy
consumption issues. Although recent efforts such as the integration of renewable energy to …

MemOpLight: Leveraging application feedback to improve container memory consolidation

F Laniel, D Carver, J Sopena, F Wajsburt… - 2020 IEEE 19th …, 2020 - ieeexplore.ieee.org
The container mechanism amortizes costs by consolidating several servers onto the same
machine, while keeping them mutually isolated. Specifically, to ensure performance …