An Availability Analysis Approach for Deployment Configurations of Containers

Sebastio, Stefano; Ghosh, Rahul; Mukherjee, Tridib

doi:10.1109/tsc.2017.2788442

Cited by 42 publications

(19 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Availability models of containerized systems for different configurations have been proposed in [18]. The authors propose and compare various container deployments and through both analytic and simulation results they investigate k-out-of-N availability and the system sensitivity to failure parameters.…”

Section: Related Workmentioning

confidence: 99%

On the Resilience of the NFV-MANO: An Availability Model of a Cloud-native Architecture

Tola

Jiang

Helvik

2020

2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020

View full text Add to dashboard Cite

With Network Function Virtualization (NFV), the management and orchestration of network services require a new set of functionalities to be added on top of legacy models of operation. Due to the introduction of the virtualization layer and the decoupling of the network functions and their running infrastructure, the operation models need to include new elements like virtual network functions (VNFs) and a new set of relationships between them and the NFV Infrastructure (NFVI). The NFV Management and Orchestration (MANO) framework plays the key role in managing and orchestrating the NFV infrastructure, network services and the associated VNFs. Failures of the MANO hinders the network ability to react to new service requests or events related to the normal lifecycle operation of network services. Thus, it becomes extremely important to ensure a high level of availability for the MANO architecture. The goal of this work is to model, analyze, and evaluate the impact that different failure modes have on the MANO availability. A model based on Stochastic Activity Networks (SANs), derived from current standard-compliant microservice-based implementations, is proposed as a case study. The case study is used to quantitatively evaluate the steady-state availability and identify the most important parameters influencing the system availability for different deployment configurations.

show abstract

Section: Related Workmentioning

confidence: 99%

On the Resilience of the NFV-MANO: An Availability Model of a Cloud-native Architecture

Tola

Jiang

Helvik

2020

2020 16th International Conference on the Design of Reliable Communication Networks DRCN 2020

View full text Add to dashboard Cite

show abstract

“…To analyze and assess the availability of IaaS clouds, many approaches have been proposed. According to [4] and [16], formal analysis models are more focused on identifying key factors without being tied to specific details, and so are more suitable for application in large cloud systems compared to simulation tools (e.g. Cloudsim and NS2).…”

Section: Iaas and Availabilitymentioning

confidence: 99%

“…Compared to traditional VMs, a key feature of a container is that it is lightweight, providing a promising computing paradigm for cloud computing in the future. But security isolation is still a major concern [27] [4], and it will be hard to completely replace VM-based clouds before this issue is completely resolved. In [4], two scenarios are modeled to assess the availability of clouds, firstly when container instances are directly executed on the PM OS, and secondly when containers are grouped and run on VMs.…”

Section: Iaas and Availabilitymentioning

confidence: 99%

“…But security isolation is still a major concern [27] [4], and it will be hard to completely replace VM-based clouds before this issue is completely resolved. In [4], two scenarios are modeled to assess the availability of clouds, firstly when container instances are directly executed on the PM OS, and secondly when containers are grouped and run on VMs. Several papers [4], [28] and [29], have studied the availability of container-based clouds through model analysis, but they do not consider the phenomenon of super-tasks, which is the focus of this paper.…”

Section: Iaas and Availabilitymentioning

confidence: 99%

“…For large IaaS clouds that contain millions of heterogeneous computing nodes, analysis based on models is generally focused on identifying key factors without being tied to specific details or particular applications [4]. At present, many formal methods have been used to study the performance and availability of IaaS, for example, Markov chains [5] [6] , Petri nets [7] [8] [9], fault trees [ so on.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An Attribute-Based Availability Model for Large Scale IaaS Clouds with CARMA

Hillston

Piho

et al. 2020

IEEE Trans. Parallel Distrib. Syst.

View full text Add to dashboard Cite

High availability is one of the core properties of Infrastructure as a Service (IaaS) and ensures that users have anytime access to on-demand cloud services. However, significant variations of workflow and the presence of super-tasks, mean that heterogeneous workload can severely impact the availability of IaaS clouds. Although previous work has investigated global queues, VM deployment, and failure of PMs, two aspects are yet to be fully explored: one is the impact of task size and the other is the differing features across PMs such as the variable execution rate and capacity. To address these challenges we propose an attribute-based availability model of large scale IaaS developed in the formal modeling language CARMA. The size of tasks in our model can be a fixed integer value or follow the normal, uniform or log-normal distribution. Additionally, our model also provides an easy approach to investigating how to arrange the slack and normal resources in order to achieve availability levels. The two goals of our work are providing an analysis of the availability of IaaS and showing that the use of CARMA allows us to easily model complex phenomena that were not readily captured by other existing approaches.

show abstract