scholarly journals Proactive Cloud Management for Highly Heterogeneous Multi-cloud Infrastructures

Author(s):  
Alessandro Pellegrini ◽  
Pierangelo Di Sanzo ◽  
Dimiter R. Avresky
Author(s):  
Lav Gupta ◽  
Raj Jain ◽  
Mohammed Samaka ◽  
Aiman Erbad ◽  
Deval Bhamare

2013 ◽  
Vol 756-759 ◽  
pp. 3904-3908
Author(s):  
Shu Hu ◽  
Jing Li ◽  
Hu Song

In recent years, cloud computing technology has become the most popular field in IT industry, and it has changed the traditional IT technical architecture, development and deployment model in enterprise. Existing cloud management platforms tend to focus only on a single-level resources management, lack of a management platform that combines infrastructure resources, application platform deployment and monitoring services. This paper has designed a deployment-architecture that supports application platform in multi-cloud environment. It helps users deploy the required platform dynamically via self-help tool, frees users from infrastructure management, and provides common and inheritable deployment architecture for infrastructure environment.


2019 ◽  
Vol 24 (1) ◽  
pp. 83-103 ◽  
Author(s):  
András Márkus ◽  
József Dániel Dombi

The Internet of Things (IoT) paradigm is closely coupled with cloud technologies, and the support for managing sensor data is one of the primary concerns of Cloud Computing. IoT-Cloud systems are widely used to manage sensors and different smart devices connected to the cloud, hence a large amount of data is generated by these things that need to be efficiently stored and processed. Simulation platforms have the advantage of enabling the investigation of complex systems without the need of purchasing and installing physical resources. In our previous work, we chose the DISSECT-CF simulator to model IoT-Cloud systems, and we also introduced provider policies to enable cost-aware policies resource management. The aim of this paper is to further extend the simulation capabilities of this tool by enabling multi-cloud management. In this paper we introduce four cloud selection strategies aimed to reduce application execution time and utilization costs. We detail our proposed method towards multi-cloud extension, and evaluate defined strategies through a meteorological application.


Author(s):  
Antonio Brogi ◽  
Jose Carrasco ◽  
Javier Cubo ◽  
Elisabetta Di Nitto ◽  
Francisco Durán ◽  
...  

How to deploy and manage, in an efficient and adaptive way, complex applications across multiple heterogeneous cloud platforms is one of the problems that have emerged with the cloud revolution. In this paper we present context, motivations and objectives of the EU research project SeaClouds, which aims at enabling a seamless adaptive multi-cloud management of complex applications by supporting the distribution, monitoring and migration of application modules over multiple heterogeneous cloud platforms. After positioning SeaClouds with respect to related cloud initiatives, we present the SeaClouds architecture and discuss some of its aspect, such as the use of the OASIS standard TOSCA and the compatibility with the OASIS CAMP initiative.


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