Availability Evaluation of Multi-Tenant Service Function Chaining Infrastructures by Multidimensional Universal Generating Function

Mauro, Mario Di; Longo, Maurizio; Postiglione, F.

doi:10.1109/tsc.2018.2885748

Cited by 43 publications

(41 citation statements)

References 22 publications

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“…In addition, with regard to the unreliability of data transmission or service caused by network failures, some strategies related to the redundancy of network components (e.g., virtual machines, router, etc.) [37][38][39] have been proposed to protect network components from network failures.…”

Section: Reliable Multicast In Ip and Icnmentioning

confidence: 99%

Reliable Multicast Based on Congestion-Aware Cache in ICN

2021

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Reliable multicast distribution is essential for some applications such as Internet of Things (IoT) alarm information and important file distribution. Traditional IP reliable multicast usually relies on multicast source retransmission for recovery losses, causing huge recovery delay and redundancy. Moreover, feedback implosion tends to occur towards multicast source as the number of receivers grows. Information-Centric Networking (ICN) is an emerging network architecture that is efficient in content distribution by supporting multicast and in-network caching. Although ubiquitous in-network caching provides nearby retransmission, the design of cache strategy greatly affects the performance of loss recovery. Therefore, how to recover losses efficiently and quickly is an urgent problem to be solved in ICN reliable multicast. In this paper, we first propose an overview architecture of ICN-based reliable multicast and formulate a problem using recovery delay as the optimization target. Based on the architecture, we present a Congestion-Aware Probabilistic Cache (CAPC) strategy to reduce recovery delay by caching recently transmitted chunks during multicast transmission. Then, we propose NACK feedback aggregation and recovery isolation scheme to decrease recovery overhead. Finally, experimental results show that our proposal can achieve fully reliable multicast and outperforms other approaches in recovery delay, cache hit ratio, transmission completion time, and overhead.

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Section: Reliable Multicast In Ip and Icnmentioning

confidence: 99%

Reliable Multicast Based on Congestion-Aware Cache in ICN

2021

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“…The authors proposed the DISCCA algorithm that guides the service nodes towards the Nash Equilibrium with short latency and low congestion, through decision making by individual users with local information to improve the reliability of system. M. Di Mauro, M. Longo, and F. Postiglione [16] 2018…”

Section: Pham N H Tran S Ren W Saad and C S Hong [13] 2020mentioning

confidence: 99%

“…In [12] an integration-based method is proposed to estimate and pool the weighted priors; it utilizes Bayes' theorem to integrate heterogeneous priors. In addition, in the service composition concept, where the nodes are traversed in a given order to provide a service, some related techniques have been applied to solve the raised reliability issues, (e.g., Markov chain [13], Stochastic Reward Networks [14], Game theory [15], and Universal Generating Functions [16]). In the case of a complex system comprising a large number of subsystems and components in the field of reliability engineering, prior knowledge of system reliability can provide information about the subsystem and system levels.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Approach Based on Bayes Minimum Risk Decision for Reliability Assessment of Web Service Composition

2020

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Web service composition is the process of combining and reusing existing web services to create new business processes to satisfy specific user requirements. Reliability plays an important role in ensuring the quality of web service composition. However, owing to the flexibility and complexity of such architecture, sufficient estimation of reliability is difficult. In this paper, the authors propose a method to estimate the reliability of web service compositions based on Bayes reliability assessment by considering it to be a decision-making problem. This improves the testing efficiency and accuracy of such methods. To this end, the authors focus on fully utilizing prior information of web services to increase the accuracy of prior distributions, and construct a Markov model in terms of the reliabilities of the web composition and each web service to integrate the limited test data. The authors further propose a method of minimum risk (MMR) to calculate the initial values of hyperparameters satisfying the constraint of minimal risk of the wrong decision. Experiments demonstrate that the proposed method is capable of efficiently utilizing prior module-level failure information, comparing with the Bayesian Monte Carlo method (BMCM) and expert scoring method (ESM), when the number of failures increased from 0 to 5, reducing the required number of test cases from 19.8% to 28.9% and 6.1% to 14.1% separately, improving the reliability assessment of web service compositions, and reducing the expenses incurred by system-level reliability testing and demonstration.

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“…Over the recent years, academia and industry alike have devoted an increasing interest to the characterization of 5G network architectures and their constitutive elements, with analyses ranging from optimal resource distribution of virtualized multimedia nodes [29] to availability characterization of virtualized IMS deployments [30]. Yet, research and practical developments in this area are incredibly fast-paced, and it would take a dedicated review paper to provide a comprehensive snapshot.…”

Section: Related Research and Contributionsmentioning

confidence: 99%

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: A Queueing Networks Approach

Mauro

Liotta

2019

IEEE Trans. Netw. Serv. Manage.

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The Next Generation 5G Networks can greatly benefit from the synergy between virtualization paradigms, such as the Network Function Virtualization (NFV), and service provisioning platforms such as the IP Multimedia Subsystem (IMS). The NFV concept is evolving towards a lightweight solution based on containers that, by contrast to classic virtual machines, do not carry a whole operating system and result in more efficient and scalable deployments. On the other hand, IMS has become an integral part of the 5G core network, for instance, to provide advanced services like Voice over LTE (VoLTE). In this paper we combine these virtualization and service provisioning concepts, deriving a containerized IMS infrastructure, dubbed cIMS, providing its assessment through statistical characterization and experimental measurements. Specifically, we: i) model cIMS through the queueing networks methodology to characterize the utilization of virtual resources under constrained conditions; ii) draw an extended version of the Pollaczek-Khinchin formula, which is useful to deal with bulk arrivals; iii) afford an optimization problem focused at maximizing the whole cIMS performance in the presence of capacity constraints, thus providing new means for the service provider to manage service level agreements (SLAs); iv) evaluate a range of cIMS scenarios, considering different queuing disciplines including also multiple job classes. An experimental testbed based on the open source platform Clearwater has been deployed to derive some realistic values of key parameters (e.g. arrival and service times).

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Availability Evaluation of Multi-Tenant Service Function Chaining Infrastructures by Multidimensional Universal Generating Function

Cited by 43 publications

References 22 publications

Reliable Multicast Based on Congestion-Aware Cache in ICN

Reliable Multicast Based on Congestion-Aware Cache in ICN

A Bayesian Approach Based on Bayes Minimum Risk Decision for Reliability Assessment of Web Service Composition

Statistical Assessment of IP Multimedia Subsystem in a Softwarized Environment: A Queueing Networks Approach

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