Model-Driven Simulation of Elastic OCCI Cloud Resources

Ahmed-Nacer, Mehdi; Kallel, Slim; Zalila, Faiez; Merle, Philippe; Gaaloul, Walid

doi:10.1093/comjnl/bxaa159

Cited by 3 publications

(3 citation statements)

References 31 publications

(57 reference statements)

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“…Thus, the CSP has no way to express a standard interface cloud resources which are required from the other ones since the federation is not the basic operation of the CSP. 13 This vendor lock-in can be disabling and upsetting since clients look for switching to alternative vendors in case an unfavorable deployment occurs.…”

Section: • Lack Of Interoperability and Vendor Lock-inmentioning

confidence: 99%

“…Despite all that, the OCCI standard 12 is defined for an interface of a single cloud installation. Thus, the CSP has no way to express a standard interface cloud resources which are required from the other ones since the federation is not the basic operation of the CSP 13 . This vendor lock‐in can be disabling and upsetting since clients look for switching to alternative vendors in case an unfavorable deployment occurs. Conflicting requirements and competitive market: Many clients are fond of a certain service supplied by many CSPs.…”

Section: Introductionmentioning

confidence: 99%

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Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

Bouabdallah

Fakhfakh

2023

Concurrency and Computation

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SummaryEach cloud service provider provides only an interface of its own cloud infrastructure for enabling clients to use its cloud resources. However, there is a number of difficulties for cloud providers to ensure proper functioning. One of the main problems of a cloud provider is the lack of resources to support a huge number of on‐demand resources provisioning. Thus, resources cannot be distributed among different cloud providers since the federation is not the basic operation of the cloud provider. The most efficient way to overcome this problem is to extend the interface's cloud provider with an automatic negotiation to dynamically form the best agreement between the different cloud providers based on the service level agreement. In this article, we propose an extension for the Open Cloud Computing Interface which is the standardized interface for the cloud computing to support the automatic negotiation between the different cloud providers. To prove the efficiency and the effectiveness of our approach, we implement a prototype to evaluate the key presented in this article.

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Section: • Lack Of Interoperability and Vendor Lock-inmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

Bouabdallah

Fakhfakh

2023

Concurrency and Computation

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“…The utilization of different cloud providers with OCCI is also shown in the study of Al-Dhuraibi et al [124] which adds the capabilities to manage the elasticity of cloud applications. Furthermore, as part of the OCCIWare project, an extension for the simulation of cloud applications is introduced in [125]. The implementation is built around CloudSim [126] and allows modeling data centers to simulate resource utilization and pricing strategies for cloud deployments.…”

Section: Occi Related Approachesmentioning

confidence: 99%

Scientific Workflow Execution Using a Dynamic Runtime Model

Erbel¹

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Research projects consist of several kinds of steps covering, e.g., individual procedures to gather data, as well as different ways to process and analyze it. Moreover, the individual steps of the project consist of a sequence of tasks that together form a workflow. With the continuous advancements in computer science, scientists have more and more access to different kinds of infrastructures and tools which are suited for different types of experiments. Cloud computing is one of the premier infrastructures to perform experiments on, as it provides flexible, on-demand computing resources that are off-premise. Still, a uniform and platform-independent orchestration of these resources remains challenging, especially when various infrastructures and human interactions are required throughout the execution of a scientific workflow.This thesis provides an approach to allow scientists to define infrastructural resources for individual tasks within their workflows and dynamically shift them throughout the workflow execution. To reach this goal, we couple recent advancements in cloud orchestration with runtime models and open cloud standards. Combined, we aim for highly tailored workflows while fostering the reuse of already existing methodologies built around the standards. To realize this objective, we build a cloud runtime model orchestration process based on the Open Cloud Computing Interface (OCCI) standard. We extend the OCCI data model with workflow elements and corresponding capabilities to model cloud deployments for individual workflow tasks. This allows forming a runtime workflow model that can be coupled to different systems such as production clouds or simulation environments. To demonstrate the feasibility of the approach, we perform several experiments to validate the standard conform orchestration process and assess the applicability of the runtime workflow model coupled to cloud infrastructures.Our studies show that runtime models are a suitable knowledge base for adaptive behavior including the modeling and runtime representation of highly tailored workflows. We observe that the orchestration of cloud deployments and the execution of workflows follow a reoccurring pattern which can be described via a sequence of runtime states. Especially the uniform interface of OCCI allows for an automatic management and reuse of existing systems and standards. By monitoring and reflecting operational properties, the runtime model fosters decision-making processes not only for self-adaptive systems but also for human users. We show that the runtime model enables human-in-the-loop activities, allowing, e.g., to influence the control flow or the parallelization of workflow tasks at runtime. Furthermore, the runtime model can be attached to different environments allowing to test adaptation and workflow behavior. I especially want to thank Prof. Dr. Jens Grabowski who took me into his group and allowed me to study the wonders of distributed computing. He always provided me with feedback on how to improve and guided me th...

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