Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

Abbasi, Aaqif Afzaal; Al-qaness, Mohammed A. A.; Elaziz, Mohamed Abd; Khalil, H.; Kim, Sunghwan

doi:10.3390/electronics8090928

Cited by 6 publications

(4 citation statements)

References 52 publications

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“…The neutrinos observed from the Galactic plane contribute to the all-sky astrophysical diffuse flux previously observed by IceCube (Fig. 5) (21,22,38). The fluxes we infer for each of the Galactic template models contribute g (orange), and KRA 50 g (light blue) models.…”

Section: Implications Of Galactic Neutrinossupporting

confidence: 56%

Observation of high-energy neutrinos from the Galactic plane

Abbasi

Ackermann

Adams

et al. 2023

Science

135

115

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The origin of high-energy cosmic rays, atomic nuclei that continuously impact Earth’s atmosphere, is unknown. Because of deflection by interstellar magnetic fields, cosmic rays produced within the Milky Way arrive at Earth from random directions. However, cosmic rays interact with matter near their sources and during propagation, which produces high-energy neutrinos. We searched for neutrino emission using machine learning techniques applied to 10 years of data from the IceCube Neutrino Observatory. By comparing diffuse emission models to a background-only hypothesis, we identified neutrino emission from the Galactic plane at the 4.5σ level of significance. The signal is consistent with diffuse emission of neutrinos from the Milky Way but could also arise from a population of unresolved point sources.

show abstract

Section: Implications Of Galactic Neutrinossupporting

confidence: 56%

Observation of high-energy neutrinos from the Galactic plane

Abbasi

Ackermann

Adams

et al. 2023

Science

135

115

View full text Add to dashboard Cite

show abstract

“…With SDN, the complexity of the network has been eliminated without affecting core manual configuration [ 7 ]. NFV acts as a facilitator for SDN solutions such as network programmability and centralized control to build a highly available, dynamically configurable, secure, robust, and flexible infrastructure [ 8 ]. Such an architecture has the benefit of improving the average performance of the network and enabling improved network management [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network

Prabakaran

Ramalakshmi

Hussain

et al. 2022

Sensors

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Decoupled data and control planes in Software Defined Networks (SDN) allow them to handle an increasing number of threats by limiting harmful network links at the switching stage. As storage, high-end servers, and network devices, Network Function Virtualization (NFV) is designed to replace purpose-built network elements with VNFs (Virtualized Network Functions). A Software Defined Network Function Virtualization (SDNFV) network is designed in this paper to boost network performance. Stateful firewall services are deployed as VNFs in the SDN network in this article to offer security and boost network scalability. The SDN controller’s role is to develop a set of guidelines and rules to avoid hazardous network connectivity. Intruder assaults that employ numerous socket addresses cannot be adequately protected by these strategies. Machine learning algorithms are trained using traditional network threat intelligence data to identify potentially malicious linkages and probable attack targets. Based on conventional network data (DT), Bayesian Network (BayesNet), Naive-Bayes, C4.5, and Decision Table (DT) algorithms are used to predict the target host that will be attacked. The experimental results shows that the Bayesian Network algorithm achieved an average prediction accuracy of 92.87%, Native–Bayes Algorithm achieved an average prediction accuracy of 87.81%, C4.5 Algorithm achieved an average prediction accuracy of 84.92%, and the Decision Tree algorithm achieved an average prediction accuracy of 83.18%. There were 451 k login attempts from 178 different countries, with over 70 k source IP addresses and 40 k source port addresses recorded in a large dataset from nine honeypot servers.

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“…With the advent of 5G, there is a strong drive in the industry to make applications more cloud-native [5,6]-that is, transform them so that they are stateless. The advantage of this approach is that the applications become independent of the underlying infrastructure (cloud vendor agnosticism), which paves the way for novel cloud, edge, and mobile management systems and use-cases, like vendor-agnostic resource consolidation [7], resource-aware cloud service admission control [8], and real-time (low-latency) 5G-enabled industrial IoT [9]. Furthermore, due to the cloud agnosticism, applications will be able to run in any telco's or cloud administrator's infrastructure, and various online application suppliers will ship the application systems, which, according to the authors of [10], by the union of the these actors, will result in a global virtualization platform in the future.…”

Section: Introductionmentioning

confidence: 99%

State Management for Cloud-Native Applications

2021

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The stateless cloud-native design improves the elasticity and reliability of applications running in the cloud. The design decouples the life-cycle of application states from that of application instances; states are written to and read from cloud databases, and deployed close to the application code to ensure low latency bounds on state access. However, the scalability of applications brings the well-known limitations of distributed databases, in which the states are stored. In this paper, we propose a full-fledged state layer that supports the stateless cloud application design. In order to minimize the inter-host communication due to state externalization, we propose, on the one hand, a system design jointly with a data placement algorithm that places functions’ states across the hosts of a data center. On the other hand, we design a dynamic replication module that decides the proper number of copies for each state to ensure a sweet spot in short state-access time and low network traffic. We evaluate the proposed methods across realistic scenarios. We show that our solution yields state-access delays close to the optimal, and ensures fast replica placement decisions in large-scale settings.

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Bouncer: A Resource-Aware Admission Control Scheme for Cloud Services

Cited by 6 publications

References 52 publications

Observation of high-energy neutrinos from the Galactic plane

Observation of high-energy neutrinos from the Galactic plane

Predicting Attack Pattern via Machine Learning by Exploiting Stateful Firewall as Virtual Network Function in an SDN Network

State Management for Cloud-Native Applications

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