EU Project SeaClouds - Adaptive Management of Service-based Applications Across Multiple Clouds (original) (raw)
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Adaptive management of applications across multiple clouds: The SeaClouds Approach
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.
Computing, 2014
Multi-cloud computing is a promising paradigm to support very large scale world wide distributed applications. Multi-cloud computing is the usage of multiple, independent cloud environments, which assumed no priori agreement between cloud providers or third party. However, multi-cloud computing has to face several key challenges such as portability, provisioning, elasticity, and high availability. Developers will not only have to deploy applications to a specific cloud, but will also have to consider application portability from one cloud to another, and to deploy distributed applications spanning multiple clouds. This article presents soCloud a service-oriented component-based Platform as a Service (PaaS) for managing portability, elasticity, provisioning, and high availability across multiple clouds. soCloud is based on the OASIS Service Component Architecture (SCA) standard in order to address portability. soCloud provides services for managing provisioning, elasticity, and high availability across multiple clouds. soCloud has been deployed and evaluated on top of ten existing cloud providers: Windows Azure, DELL KACE, Amazon EC2, CloudBees, OpenShift, dotCloud, Jelastic, Heroku, Appfog, and an Eucalyptus private cloud.
A user-centric multi-PaaS application management solution for hybrid multi-Cloud scenarios
Scalable Computing: Practice and Experience, 2013
Cloud Platform as a Service (PaaS) is a rapidly growing IT paradigm which enables software developers to deploy applications without the burden of software platform maintenance. Currently, the PaaS market is dominated by a few providers that promote incompatible standards. This introduces adoption barriers that prevent the interoperability between heterogeneous PaaS offerings, so software developers are not able to manage distributed applications spanning multiple public/private clouds. In this paper we present a multi-PaaS application management solution as a result of the Cloud4SOA European project that addresses these challenges. To clarify this approach a distributed deployment and cloud bursting scenarios are used.
SeaClouds: An Open Reference Architecture for Multi-cloud Governance
Lecture Notes in Computer Science, 2016
We present the open reference architecture of the SeaClouds solution. It aims at enabling a seamless adaptive multi-cloud management of complex applications by supporting the distribution, monitoring and reconfiguration of app modules over heterogeneous cloud providers.
An Adaptable Framework to Deploy Complex Applications onto Multi-cloud Platforms
Computing & Communication Technologies - Research, Innovation, and Vision for the Future (RIVF), 2015 IEEE RIVF International Conference on
Cloud computing is nowadays a popular technology for hosting IT services. However, deploying and reconfiguring complex applications involving multiple software components, which are distributed on many virtual machines running on single or multi-cloud platforms, is error-prone and time-consuming for human administrators. Existing deployment frameworks are most of the time either dedicated to a unique type of application (e.g. JEE applications) or address a single cloud platform (e.g. Amazon EC2). This paper presents a novel distributed application management framework for multi-cloud platforms. It provides a Domain Specific Language (DSL) which allows to describe applications and their execution environments (cloud platforms) in a hierarchical way in order to provide a fine-grained management. This framework implements an asynchronous and parallel deployment protocol which accelerates and make resilient the deployment process. A prototype has been developed to serve conducting intensive experiments with different type of applications (e.g. OSGi application and ubiquitous big data analytics for IoT) over disparate cloud models (e.g. private, hybrid, and multi-cloud), which validate the genericity of the framework. These experiments also demonstrate its efficiency comparing to existing frameworks such as Cloudify.
A reflective platform for highly adaptive multi-cloud systems
2011
Cloud platforms are increasingly used for hosting a broad diversity of services from traditional e-commerce applications to interactive web-based IDEs. However, we observe that the proliferation of offers by Cloud vendors raises several challenges. Developers will not only have to deploy applications for a specific Cloud, but will also have to consider migrating services from one cloud to another, and to manage applications spanning multiple Clouds. In this paper, we therefore report on a first experiment we conducted to build a multi-Cloud system on top of thirteen existing IaaS/PaaS. From this experiment, we advocate for two dimensions of adaptability-design and execution time-that applications for such systems require to exhibit. Finally, we propose a roadmap for future multi-Cloud systems.
Challenges for the comprehensive management of Cloud Services in a PaaS framework
2012
The 4CaaSt project aims at developing a PaaS framework that enables flexible definition, marketing, deployment and management of Cloud-based services and applications. This paper describes the major challenges tackled by 4CaaSt for the comprehensive management of applications and services in a PaaS. These challenges involve the blueprint language to describe applications in the cloud and its lifecycle management, as well as a one stop shop for Cloud services and a PaaS level resource management featuring elasticity and advanced Network as a Service capabilities. 4CaaSt also provides a portfolio of ready to use Cloud native services and Cloud enabled immigrant technologies. The evaluation process followed to assess 4CaaSt progress is also described.
A Case Study for Deploying Applications on Heterogeneous PaaS Platforms
2013 International Conference on Cloud Computing and Big Data, 2013
Platform-as-a-Service (PaaS) model provides developers with the ability to deploy and manage their applications remotely through the cloud and pay only for actual usage hours. Currently, there is no standard API for PaaS management and deployment; each PaaS provider has its own specific APIs (e.g., Google AppEngine (GAE), OpenShift (OS), Cloud Foundry (CF), and Windows Azure). Therefore, deploying applications on heterogeneous PaaS platforms is considered one of the challenges that make some developers worry about using PaaS services. Such challenge can be solved by providing a standard or a generic API that overcomes PaaS API heterogeneity. The aim of this paper is to report on our effort to use and extend a generic API, namely the COAPS API, which supports deployment and management on Cloud Foundry and OpenShift. According to the work in this paper, an extension of the COAPS API is provided to include the deployment on Google AppEngine as a case study to demonstrate COAPS API generality.
Lecture Notes in Computer Science, 2013
Cloud Platform as a Service (PaaS) is a novel, rapidly growing segment in the Cloud computing market. However, the diversity and heterogeneity of today's existing PaaS offerings raises several interoperability challenges. This introduces adoption barriers due to the lock-in issues that prevent the portability of data and applications from one PaaS to another, "locking" software developers to the first provider they use. This paper introduces the Cloud4SOA solution, a scalable approach to semantically interconnect heterogeneous PaaS offerings across different Cloud providers that share the same technology. The design of the Cloud4SOA solution, extensively presented in this work, comprises of a set of interlinked collaborating software components and models to provide developers and platform providers with a number of core capabilities: matchmaking, management, monitoring and migration of applications. The paper concludes with the presentation of a proof-of-concept implementation of the Cloud4SOA system based on real-life business scenarios.
International Journal of Big Data Intelligence, 2016
The cloud platform-as-a-service (PaaS) model provides developers with the ability to deploy and manage their applications remotely in the cloud and pay only for actual usage hours. Currently, there is no standard API for PaaS deployment and management; each PaaS provider [e.g., Google AppEngine (GAE), OpenShift (OS), Cloud Foundry (CF), and Windows Azure] has its own proprietary APIs. This lack of standardisation adds a layer of complexity to application deployment and migration between heterogeneous PaaS platforms because of API incompatibility. A standard (generic) PaaS deployment API overcomes the previously mentioned PaaS API heterogeneity. A generic open-source API, namely the COAPS API, has been proposed to support deployment and management of applications on CF and OS PaaS platforms. This work implements COAPS deployment API to include the GAE PaaS. Whereas both CF and OS PaaS platforms use the same application packaging, deploying the same application on GAE requires application repackaging. We evaluated our work using a case study in which the same application is automatically deployed on CF and GAE.