A Case Study for Deploying Applications on Heterogeneous PaaS Platforms

Hossny, Elham; Khattab, Sherif; Omara, Fatma A.; Hassan, Hesham

doi:10.1109/cloudcom-asia.2013.13

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…Currently, the COAPS API supports two PaaS platforms: Cloud Foundry (CF) and Openshift (OS). In a previous work, we have implemented a new adapter in the COAPS API to allow deploying cloud applications on GAE, besides CF and OS [44], [15]. The COAPS API is similar to IBM Altocumulus project [45] which provides users with a uniform interface to allow them to deploy their applications on multiple PaaS platforms such as IBM HiPODS, Amazon EC2, and GAE.…”

Section: Generic-apismentioning

confidence: 99%

STAGER: Semantic-Based Framework for Generating Adapters of Service-Based Generic-API for Portable Cloud Applications

Hossny

Khattab

Omara

et al. 2021

IEEE Trans. Serv. Comput.

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In PaaS model, providers have different proprietary APIs, which make developers locked inside a specific platform and not able to easily port their applications among different platforms. So, vendor lock-in problem appeared. One solution to this problem is to use generic APIs with specific adapters. However, any update in a PaaS specific-API makes its corresponding adapter is unusable which causes, what we call, API synchronization problem. Therefore, STAGER (SemanTic-based GenERation of Generic-API Adapters) framework is proposed. STAGER framework provides a semi-automatic adapter generation process, which generates specific adapters of generic APIs for PaaS services (e.g., blob storage and datastore services) for target PaaS platforms. The adapter generation process is based on semantic annotations of the generic APIs and their corresponding PaaS specific-APIs. In order to evaluate STAGER framework, two generic APIs for blob storage and NoSQL datastore services have been proposed. STAGER framework is used to generate the adapters of these generic APIs for two PaaS platforms: Google App Engine (GAE) and Windows Azure. Although there is some overhead for semantically annotating the PaaS APIs, the evaluation results prove the feasibility of STAGER framework and promote the usage of the generated adapters for implementing portable cloud applications.

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Section: Generic-apismentioning

confidence: 99%

STAGER: Semantic-Based Framework for Generating Adapters of Service-Based Generic-API for Portable Cloud Applications

Hossny

Khattab

Omara

et al. 2021

IEEE Trans. Serv. Comput.

Self Cite

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“…The main differences between these approaches lie on the different ways of handling the connections between modules deployed on different platforms. However, in all these attempts, platforms allow operating simultaneously with a single level of service to deploy applications, i.e., all the components of an application are deployed either at the IaaS level or all at the PaaS level (see, e.g., [6], [9] and [10]). From this, with the goal of unifying cloud services, we propose in this thesis a second dimension in which deployment tools integrate IaaS and PaaS levels under a single interface.…”

Section: Trans-cloud Managementmentioning

confidence: 99%

Towards a Unified Management of Applications on Heterogeneous Clouds

Carrasco¹,

Durán²,

Pimentel³

2018

Communications in Computer and Information Science

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The diversity in the way cloud providers offer their services, give their SLAs, present their QoS, or support different technologies, makes very difficult the portability and interoperability of cloud applications, and favours the well-known vendor lock-in problem. We propose a model to describe cloud applications and the required resources in an agnostic, and providers-and resources-independent way, in which individual application modules, and entire applications, may be redeployed using different services without modification. To support this model, and after the proposal of a variety of cross-cloud application management tools by different authors, we propose going one step further in the unification of cloud services with a management approach in which IaaS and PaaS services are integrated into a unified interface. We provide support for deploying applications whose components are distributed on different cloud providers, indistinctly using IaaS and PaaS services.

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“…They are on demand service, access network, resource pooling, elasticity and measured services. To achieve these five essential characteristics, cloud computing provides three kinds of service models: Software as a Service (SaaS), Platform as a Service (PaaS) [7] and Infrastructure as a Service (IaaS) [8]. Cloud computing service models are shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Open-Source PAAS Architectural Components

Nandimandalam

Choi

2016

Computer Science &Amp; Information Technology ( CS &Amp; IT )

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Cloud computing is a widely used technology with three basic service models such as Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). This paper focuses on the PaaS model. Open source PaaS model provides choice of cloud, developer framework and application service. In this paper detailed study of four open PaaS packages such as AppScale, Cloud Foundry, Cloudify, and OpenShift are explained with the considerable architectural component aspects. We also explained some other PaaS packages like Stratos, Stakato and mOSAIC briefly. In this paper we present the comparative study of major open PaaS packages.

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A Case Study for Deploying Applications on Heterogeneous PaaS Platforms

Cited by 16 publications

References 6 publications

STAGER: Semantic-Based Framework for Generating Adapters of Service-Based Generic-API for Portable Cloud Applications

STAGER: Semantic-Based Framework for Generating Adapters of Service-Based Generic-API for Portable Cloud Applications

Towards a Unified Management of Applications on Heterogeneous Clouds

Comparison of Open-Source PAAS Architectural Components

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