Support Services for Applications Execution in Multi-clouds Environments

@article{Pop2016SupportSF,
  title={Support Services for Applications Execution in Multi-clouds Environments},
  author={Daniel Pop and Gabriel Iuhasz and Ciprian Craciun and S. Panica},
  journal={2016 IEEE International Conference on Autonomic Computing (ICAC)},
  year={2016},
  pages={343-348}
}
Deploying and running applications in multi-cloud environments is a challenging task for a number of reasons: different configuration parameters are needed for differentcloud environments, application's artefacts may vary across technologies or cloud providers, services provided at IaaS level vary from one cloud provider to another. This paper introduces a run-time platform that enables the deploymentand execution of applications on multi-clouds with guaranteed quality of service (QoS), and… Expand
CoMe4ACloud: An end-to-end framework for autonomic Cloud systems
TLDR
The CoMe4ACloud approach proposes a generic model-based architecture for autonomic management of Cloud systems and derives a generic unique Autonomic Manager capable of managing any Cloud service, regardless of the layer. Expand
A Model-based Architecture for Autonomic and Heterogeneous Cloud Systems
TLDR
This paper introduces the designed model-based architecture, and notably its core generic XaaS modeling language, and describes the integration with a constraint solver to be used by the autonomic manager, as well as the interoperability with a Cloud standard (TOSCA). Expand
Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities
TLDR
The goal of this work is to support the optimal allocation of microservices provided by the main cloud service providers today and used by millions of users worldwide in applications such as smart health, content delivery networks,smart health, etc. Expand
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
TLDR
A comprehensive survey on fog computing is presented, critically reviews the state of the art in the light of a concise set of evaluation criteria and covers both the architectures and the algorithms that make fog systems. Expand
Preface to SOSeMC 2016
TLDR
The “Self-Organizing Self-Managing Clouds” (SOSeMC) workshop aims at bringing together motivated researchers and private company representatives that can further push the limits of Self-* Cloud Computing. Expand
Integration of Fog Computing and Internet of Things: An Useful Overview
TLDR
Most significant fog applications (e.g. healthcare monitoring, smart cities, connected vehicles, and smart grid, etc.) will be discussed here to create a well-organized green and quantum computing paradigm to support the next generation of IoT applications. Expand
Softwarization of Large-Scale IoT-based Disasters Management Systems
TLDR
This thesis proposes softwarization approaches to tackle the key challenges related to large-scale IoT based disaster management systems and proposes a cloud-based architecture that enables the formation of efficient coalitions of IoT devices for search and rescue tasks. Expand

References

SHOWING 1-10 OF 14 REFERENCES
SPACE4Cloud: a DevOps environment for multi-cloud applications
TLDR
SPACE4Cloud is presented, a DevOps integrated environment for model-driven design-time QoS assessment and optimization, and runtime capacity allocation for Cloud applications. Expand
An Evolutionary Approach for SLA-based Cloud Resource Provisioning
TLDR
The research presented in this paper enables developers to automate the process of resource provisioning by specifying their preference towards resources and resource attributes based on which the system can propose solutions for their requirements. Expand
CloudMF: Applying MDE to Tame the Complexity of Managing Multi-cloud Applications
TLDR
This paper shows how the Cloud Modelling Framework leverages upon model-driven engineering to tame this complexity by providing a tool-supported domain-specific language for specifying the provisioning and deployment of multi-cloud applications and a models@run-time environment for enacting the provisioned, deployment, and adaptation of these applications. Expand
Portability in clouds: approaches and research opportunities
TLDR
This paper intends to provide an image of the state of the art in this particular topic and to identify the potential paths to follow in order to solve the problem of low portability of applications in Cloud environments. Expand
Distributed Resource Identification Service for Cloud Environments
  • S. Panica, D. Petcu
  • Computer Science
  • 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
  • 2013
TLDR
This paper proposes a new approach based on a distributed naming and resource identification service that allows a client to consume or communicate with a resource without having to deal with resource location or discovery protocols. Expand
Supporting the Development and Operation of Multi-cloud Applications: The MODAClouds Approach
TLDR
An overview of the MODAClouds project is provided and the architecture of the corresponding platform is presented, which relies on model-driven development combined with risk analysis and quality prediction. Expand
MODAClouds: A model-driven approach for the design and execution of applications on multiple Clouds
TLDR
It is argued that Model-Driven Development can be helpful in this context as it would allow developers to design software systems in a cloud-agnostic way and to be supported by model transformation techniques into the process of instantiating the system into specific, possibly, multiple Clouds. Expand
Towards a Method for Decision Support in Multi-cloud Environments
TLDR
This position paper presents main results of the recent efforts towards development of a decision support method (DSM) in multi-clouds, and describes the needs for the DSM in the multi- cloud context and proposes an initial version of the process for theDSM. Expand
An Intelligent Context-Aware Decision-Support System Oriented towards Healthcare Support
TLDR
A software prototype is implemented using Scala, Apache Jena and the Fuseki database server for handling a context modeled using a dynamic created ontology to improve the data aggregation methods. Expand
MODAClouds Deliverable D6.5.3
  • MODAClouds Deliverable D6.5.3
  • 2015
...
1
2
...