A Generic Framework Supporting Self-Organisation and Self-Management in Hierarchical Systems

Filelis‐Papadopoulos, Christos K.; Xiong, Huanhuan; Spataru, Adrian; Castañé, Gabriel G.; Dong, Dapeng; Gravvanis, George A.; Morrison, John P.

doi:10.1109/ispdc.2017.18

Cited by 9 publications

(9 citation statements)

References 25 publications

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“…The internal structure of the SOSM system [51] acts as the Resource Discovery component as described in Fig. 8.…”

Section: Cloudlightning -Realization Of Proposed Architecturementioning

confidence: 99%

“…While navigating through the SOSM hierarchy, resource requests are directed along a path which automately results in them being satisfied by the ''most suitable'' underlying physical resource. This suitability is determined by the upward propagation of the status of the physical resources and associated metrics are combined, in each level of the hierarchy, into a measure known as Suitability Index (SI) [51]. In effect, requests follow the path determined by the highest value of the SI at each level in the hierarchy.…”

Section: Cloudlightning -Realization Of Proposed Architecturementioning

confidence: 99%

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An ontology for heterogeneous resources management interoperability and HPC in the cloud

Castañé

Xiong

Dong

et al. 2018

Future Generation Computer Systems

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h i g h l i g h t s • An ontology for interoperability in heterogeneous cloud infrastructures isproposed. • Enable the adoption of heterogeneous physical resources in self managed clouds-Support for HPC-in-Cloud, hardware accelerators, resource abstraction methods. • A proposed architecture to explot the semantic and sintactic benefits. • Included into the CloudLightning project for large scale Cloud Computing environments.

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“…The internal structure of the SOSM system [51] acts as the Resource Discovery component as described in Fig. 8.…”

Section: Cloudlightning -Realization Of Proposed Architecturementioning

confidence: 99%

Section: Cloudlightning -Realization Of Proposed Architecturementioning

confidence: 99%

An ontology for heterogeneous resources management interoperability and HPC in the cloud

Castañé

Xiong

Dong

et al. 2018

Future Generation Computer Systems

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“…A framework for a self-organized, self-managed, hierarchical architecture was proposed in [53]. 1) Self-management mechanism: The CloudLightning SOSM system is composed of a number of components in each level in the hierarchy.…”

Section: B Self-organized Self-managed Frameworkmentioning

confidence: 99%

“…At lowest-level in the hierarchy, vRMs manage collections of physical machines under their control. At this level, perceptions are derived from monitoring information and impetuses become associated with weighted assessment functions [53], determining the relative important of these functions in achieving the global system objectives.…”

Section: B Self-organized Self-managed Frameworkmentioning

confidence: 99%

CloudLightning: a Self-Organized Self-Managed Heterogeneous Cloud

Xiong

Dong

Filelis‐Papadopoulos

et al. 2017

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

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Abstract-The increasing heterogeneity of cloud resources, and the increasing diversity of services being deployed in cloud environments are leading to significant increases in the complexities of cloud resource management. This paper presents an architecture to manage heterogeneous resources and to improve service delivery in cloud environments. A loosely-coupled, hierarchical, selfadapting management model, deployed across multiple layers, is used for heterogeneous resource management. Moreover, a service-specific coalition formation mechanism is employed to identify appropriate resources to support the process parallelism associated with high performance services. Finally, a proofof-concept of the proposed hierarchical cloud architecture, as realized in CloudLightning project, is presented.

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“…The SOSM System [23] is a hierarchical resource management system that aggregates monitoring information collected at the bottom level and assesses the efficiency and performance of resources based on some specific business objectives (e.g., energy efficiency, computational performance). The assessment functions are weighted based on some importance for each aspect and propagated up the hierarchy.…”

Section: Introductionmentioning

confidence: 99%

Decentralized and Fault Tolerant Cloud Service Orchestration

Spataru

2020

SCPE

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This paper proposes a decentralized framework for the orchestration of Cloud Services using heterogeneous resources residing in the homes of private individuals or small-scale clusters. The framework makes use of Ethereum Smart Contracts to provide a decentralized mechanism for discovering the different interfaces exposed by Cloud Components. The paper introduces a novel concept of Component Administration Networks, which are peer-to-peer networks that monitor and ensure the availability of the software components. The concept applied for the Orchestration process to ensure that the deployment of an Application continues in the presence of Orchestrator component failure. Checkpoints are used to address the continuity of the Management components, in general, and of the Orchestrator, in particular. In our proposal, checkpoint metadata is stored in a Smart Contract to assess the execution time of a Service to reimburse the participants that ensure its execution.

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A Generic Framework Supporting Self-Organisation and Self-Management in Hierarchical Systems

Cited by 9 publications

References 25 publications

An ontology for heterogeneous resources management interoperability and HPC in the cloud

An ontology for heterogeneous resources management interoperability and HPC in the cloud

CloudLightning: a Self-Organized Self-Managed Heterogeneous Cloud

Decentralized and Fault Tolerant Cloud Service Orchestration

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