Challenges in Cloud Management

Martin‐Flatin, Jean‐Philippe

doi:10.1109/mcc.2014.4

Cited by 16 publications

(10 citation statements)

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“…Other XaaS terms are used nowadays to name different resources provided as services in the clouds [3]. Cloud management poses different challenges [4]. Provisioning, supervising, and managing these outsourced, on-demand, pay as you go, elastic resources require cloud resource management interfaces (CRM-API).…”

Section: Introductionmentioning

confidence: 99%

A Precise Metamodel for Open Cloud Computing Interface

Merle

Barais

Parpaillon

et al. 2015

2015 IEEE 8th International Conference on Cloud Computing

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International audienceOpen Cloud Computing Interface (OCCI) proposes one of the first widely accepted, community-based, open standards for managing any kinds of cloud resources. But as it is specified in natural language, OCCI is imprecise, ambiguous, incomplete, and needs a precise definition of its core concepts. Indeed, the OCCI Core Model has conceptual drawbacks: an imprecise semantics of its type classification system, a nonextensible data type system for OCCI attributes, a vague and limited extension concept and the absence of a configuration concept. To tackle these issues, this paper proposes a precise metamodel for OCCI. This metamodel defines rigourously the static semantics of the OCCI core concepts, of a precise type classification system, of an extensible data type system, and of both extension and configuration concepts. This metamodel is based on the Eclipse Modeling Framework (EMF), its structure is encoded with Ecore and its static semantics is rigourously defined with Object Constraint Language (OCL). As a consequence, this metamodel provides a concrete language to precisely define and exchange OCCI models. The validation of our metamodel is done on the first worldwide dataset of OCCI extensions already published in the literature, and addressing inter-cloud networking, infrastructure, platform, application, service management, cloud monitoring, and autonomic computing domains, respectively. This validation highlights simplicity, consistency, correctness, completeness, and usefulness of the proposed metamodel

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Section: Introductionmentioning

confidence: 99%

A Precise Metamodel for Open Cloud Computing Interface

Merle

Barais

Parpaillon

et al. 2015

2015 IEEE 8th International Conference on Cloud Computing

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“…The next problem is to facilitate the transition from one container to clusters of containers that allow running containerized applications on several clusters or in several clouds [50].…”

Section: Container Clustering and Orchestrationmentioning

confidence: 99%

Comparative Analysis of Virtualization Methods in Big Data Processing

Радченко

Alaasam

Tchernykh

2019

JSFI

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Cloud computing systems have become widely used for Big Data processing, providing access to a wide variety of computing resources and a greater distribution between multi-clouds. This trend has been strengthened by the rapid development of the Internet of Things (IoT) concept. Virtualization via virtual machines and containers is a traditional way of organization of cloud computing infrastructure. Containerization technology provides a lightweight virtual runtime environment. In addition to the advantages of traditional virtual machines in terms of size and flexibility, containers are particularly important for integration tasks for PaaS solutions, such as application packaging and service orchestration. In this paper, we overview the current state-ofthe-art of virtualization and containerization approaches and technologies in the context of Big Data tasks solution. We present the results of studies which compare the efficiency of containerization and virtualization technologies to solve Big Data problems. We also analyze containerized and virtualized services collaboration solutions to support automation of the deployment and execution of Big Data applications in the cloud infrastructure.

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“…This model provides three popular layers of services known as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) [2]. A cloud resource management application programming interface (CRM-API) [3] allows cloud developers to provision and manage their outsourced, on-demand, pay as you go and elastic resources. However, there is a plethora of CRM-APIs proposed by Amazon, Microsoft, Google, IBM, Oracle, Eucalyptus, OpenNebula, CloudStack, OpenStack, Cloud-Bees, OpenShift, Cloud Foundry, Docker, to cite a few.…”

Section: Introductionmentioning

confidence: 99%

“…This will ease interoperability between clouds, as providers will be specified by the same resource-oriented model called the OCCI Core Model [7], that can be expanded through extensions and accessed by a common REST [8] API. 1 REpresentational State Transfer 2 https://www.oasis-open.org/committees/camp 1 Currently, only runtime frameworks such as rOCCI 3 , erocci 4 , pySSF 5 , pyOCNI 6 , and OCCI4Java 7 are available, while OCCI designers/developers/users need software engineering tools to design, edit, validate, generate, implement, deploy, execute, manage, configure, and supervise new kinds of OCCI resources, and the configurations of these resources. In addition, the existing runtime implementations are targeting only a specific cloud service model (mainly IaaS).…”

Section: Introductionmentioning

confidence: 99%

Model-driven cloud resource management with OCCIware

Zalila

Challita

Merle

2019

Future Generation Computer Systems

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Cloud computing has emerged as the main paradigm for hosting and delivering computing resources as services over Internet. It provides a delivery model for computing resources at infrastructure, platform, and software levels. However, there is a plethora of cloud providers offering different resource management interfaces. Due to this diversity, the consumption, provisioning, management, and supervision of cloud resources are subjected to four key issues, i.e., heterogeneity, interoperability, integration, and portability. To cope with these issues, Open Cloud Computing Interface (OCCI) is proposed as a community-based and open recommendation standard for managing any kind of cloud resources. Currently, only runtime implementations exist for OCCI, and each one targets a specific cloud service model such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS). Thus, OCCI lacks an approach to model and execute different OCCI artifacts. Our approach provides a generic modeling framework coupled with a generic runtime implementation. In this article, we propose the OCCIware approach, which represents the first approach to design, validate, generate, implement, deploy, execute, and supervise everything as a service with OCCI. This approach provides OCCIware Studio, the first model-driven tool chain for OCCI. It is built around OCCIware Metamodel, which defines the static semantics for the OCCI standard in Ecore and OCL. In addition, it proposes OCCIware Runtime, the first generic OCCI runtime implementation targeting all the cloud service models (IaaS, PaaS, and SaaS). OCCIware provides a unique and unified framework to manage OCCI artifacts and, at the same time, it represents a factory to build cloud domain-specific modeling frameworks where each framework targets a specific cloud domain. OCCIware has been applied in various cloud domains and use-cases, which validate its applicability.• Model-Driven Managing Everything as a Service with OC-CIware. OCCIware is a model-driven vision to manage XaaS.It allows one to model any type of resources. It provides OCCI users with facilities for designing, editing, validating, generating, implementing, deploying, executing, managing, and supervising XaaS with OCCI.• Generating Cloud Domain-Specific Modeling Frameworks with OCCIware. OCCIware is a factory of cloud domainspecific modeling frameworks. Each generated Cloud Domain-Specific Modeling Studio (CDSMS) is dedicated for a particular cloud domain. Each CDSMS can be used to design configurations which conform to its related domain and hides the generic concepts of OCCI.The OCCIware approach is composed of two main components: OCCIware Studio and OCCIware Runtime. OCCIware Studio is the first model-driven tool chain for OCCI [9]. OC-CIware Studio has been built around OCCIware Metamodel. This metamodel represents a precise definition for OCCI [10]. It defines rigourously the static semantics of the OCCI Core Model [7], the core specification of OCCI, by resolving several identified...

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Challenges in Cloud Management

Cited by 16 publications

References 0 publications

A Precise Metamodel for Open Cloud Computing Interface

A Precise Metamodel for Open Cloud Computing Interface

Comparative Analysis of Virtualization Methods in Big Data Processing

Model-driven cloud resource management with OCCIware

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