Elastic Admission Control for Federated Cloud Services

Konstanteli, Kleopatra; Cucinotta, Tommaso; Psychas, Konstantinos; Varvarigou, Theodora

doi:10.1109/tcc.2014.2325034

Cited by 44 publications

(17 citation statements)

References 27 publications

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“…Elastic service provision [21] in a cloud-based environment is a novel approach executing processes using the resource elasticity of cloud-based systems. In such a cloud-based environment, elastic services can be hosted whose resources may dynamically grow and shrink to meet the requirements of dynamically varying numbers of users and patterns of requests.…”

Section: Resilience From a Resource Perspectivementioning

confidence: 99%

Resilience analysis of service-oriented collaboration process management systems

Vrieze

2018

SOCA

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Collaborative business process management allows for the automated coordination of processes involving human and computer actors. In modern economies, it is increasingly needed for this coordination to be not only within organizations but also to cross organizational boundaries. The dependence on the performance of other organizations should, however, be limited, and the control over the own processes is required from a competitiveness perspective. The main objective of this work is to propose an evaluation model for measuring a resilience of a service-oriented architecture (SOA) collaborative process management system. In this paper, we have proposed resilience analysis perspectives of SOA collaborative process systems, i.e., overall system perspective, individual process model perspective, individual process instance perspective, service perspective, and resource perspective. A collaborative incident and maintenance notification process system is reviewed for illustrating our resilience analysis. This research contributes to extend SOA collaborative business process management systems with resilience support, not only looking at quantification and identification of resilience factors, but also considering ways of improving the resilience of SOA collaborative process systems through measures at design and runtime.Keywords Collaborative business processes management · Resilience · Resilience of SOA collaborative process systems · Service-oriented systems · Cloud-based SOA collaborative business process management

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Section: Resilience From a Resource Perspectivementioning

confidence: 99%

Resilience analysis of service-oriented collaboration process management systems

Vrieze

2018

SOCA

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“…Konstanteli et.al. [31] came up with a probabilistic model for optimizing allocation of resources, including hosts, their subnets, storage and computational capacity. Both affinity and anti affinity rules were used in [32].…”

Section: Related Workmentioning

confidence: 99%

“…Both Larumbe [30] and Konstanteli [31] aimed to minimize various costs, such as physical resource consumption and energy consumption. But they assumed that the relative significance of optimization objectives was regulated by the CSPs.…”

Section: Related Workmentioning

confidence: 99%

Towards Robust Green Virtual Cloud Data Center Provisioning

Yang

Chang

Liu

et al. 2017

IEEE Trans. Cloud Comput.

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Cloud data center (CDC) network virtualization is being regarded as a promising technology to provide performance guarantee for cloud computing applications. One critical issue in CDC network virtualization technology is virtual data center (VDC) embedding, which deals with the CDC physical resource allocation to virtual nodes (virtual switches and virtual servers) and virtual links of a VDC. When node and link constraints (including CPU, memory, network bandwidth, and network delay) are both taken into account, the VDC embedding problem is NP-hard, even in the offline case. Node heterogeneity and CDC network scale bring challenges to the VDC embedding. This paper aims to embed a VDC in a robust and green way. We propose two effective, computation-efficient and energy-efficient embedding algorithms. Extensive simulations under various network scales and topologies are carried out to compare the proposed algorithms with the existing VDC embedding algorithms in terms of the VDC acceptance ratio, the long-term revenue of the cloud service provider (CSP), the CDC' long-term energy consumption in light-load CDCs, and in terms of CSP's long-term revenue in heavy-load CDCs. Index Terms-Cloud data center, Virtual data center embedding, Energy consumption, Mixed integer programming ---------- ----------2168-7161 (c)

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“…Coutinho et al (2015) proposed an elastic architecture for cloud computing based on concepts of Autonomic Computing. Konstanteli et al (2014) proposed a mechanism using probabilistic optimisation model, for admission control of a set of horizontally scalable services. Their model reduced the resources required to assure a given quality of service by employing statistical knowledge of the elastic workload requirements of services.…”

Section: Software Cybernetics In Cloud Computingmentioning

confidence: 99%