scholarly journals Virtual Networking Performance in OpenStack Platform for Network Function Virtualization

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Franco Callegati ◽  
Walter Cerroni ◽  
Chiara Contoli
Keyword(s):  
Cloud Computing ◽  
Network Performance ◽  
Network Virtualization ◽  
Network Function Virtualization ◽  
Network Architectures ◽  
Cloud Data ◽  
Network Function ◽  
Computing Platform ◽  
Central Offices ◽  
The One

The emerging Network Function Virtualization (NFV) paradigm, coupled with the highly flexible and programmatic control of network devices offered by Software Defined Networking solutions, enables unprecedented levels of network virtualization that will definitely change the shape of future network architectures, where legacy telco central offices will be replaced by cloud data centers located at the edge. On the one hand, this software-centric evolution of telecommunications will allow network operators to take advantage of the increased flexibility and reduced deployment costs typical of cloud computing. On the other hand, it will pose a number of challenges in terms of virtual network performance and customer isolation. This paper intends to provide some insights on how an open-source cloud computing platform such as OpenStack implements multitenant network virtualization and how it can be used to deploy NFV, focusing in particular on packet forwarding performance issues. To this purpose, a set of experiments is presented that refer to a number of scenarios inspired by the cloud computing and NFV paradigms, considering both single tenant and multitenant scenarios. From the results of the evaluation it is possible to highlight potentials and limitations of running NFV on OpenStack.

scholarly journals Artificial Intelligence Techniques for Information Security in 5G IoT Environments

2020 ◽  
Vol 5 (11) ◽  
pp. 1328-1333
Author(s):  
Ivan Petrov ◽  
Toni Janevski
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Cost Benefit Analysis ◽  
Network Virtualization ◽  
Cost Benefit ◽  
Telecommunication Networks ◽  
Operation Management ◽  
Network Function Virtualization ◽  
Network Function ◽  
The Future

The development of the telecommunication networks observed in present and future time is impressive. Today we witness rapid implementation of 5G networks. We can say that this actually is the moment when (artificial intelligence) AI enters at small door but in the beyond 5G world it is expected to have the prime role in smart operation, management and maintenance of non-software defined networking (SDN), network function virtualization (NFV) and especially at SDN and NFV aware networks. Number of standardization body’s and work groups are focused in a way to create a framework that will define the future use of AI and security standards necessary to exist in order to create health environment for the next generation telecommunication infrastructure. In the wireless world AI/Machine learning (ML) has great potential to shake the way we operate and to become foundation of the transformation that leads to the next industrial revolution. Network virtualization gives flexibility and freedom of the telco operators to choose the hardware and network topology they need for AI/ML platforms and big data sets. 5G and IoT create positive environment for AI and ML development and usage. As the network requirements are developed and the number of the users raises, gains are expected to grow with the number of variables and the interactions among them so it becomes impossible to relay on humans to control the network for increased number of variables and this is why AI with ML and automation become beneficial and necessity to run the future networks. AI generally is defined as capacity of mind or ability to acquire and apply knowledge and skills while ML is defined as learning that does not require explicit programming. Combined usage of AI and ML can optimize almost any component of the wireless network, this does not mean that it should be used everywhere mainly because at the end of the day the cost benefit analysis of its usage must be positive. Smart operation, management and infrastructure maintenance (SOMM) networks are defined as: Intelligent, data driven, integrated and agile. Today AI is introduced but in future it will represent the network engine. It is interesting to mention that network security must be upgraded because the network will provide services for massive number of IoT devices that will have variety of functions and requests. AI/ML can improve the security services and to be used in order to elevate them at advanced level. In this text we focus our attention at AI/ML and security scenarios defined for IoT in 5G environment.

Cloud Data Management Based on Cloud Computing Technology

2014 ◽  
Vol 543-547 ◽  
pp. 3573-3576
Author(s):  
Yuan Jun Zou
Keyword(s):  
Cloud Computing ◽  
Parallel Computing ◽  
Data Processing ◽  
Development Planning ◽  
Computer Data ◽  
Cloud Data ◽  
Computing Platform ◽  
Convergence Error ◽  
Cloud Computing Platform ◽  
Cloud Data Processing

Cloud computing, networking and other high-end computer data processing technology are the important contents of eleven-five development planning in China. They have developed rapidly in recent years in the field of engineering. In this paper, we combine parallel computing with the collaborative simulation principle, design a cloud computing platform, establish the mathematical model of cloud data processing and parallel computing algorithm, and verify the applicability of algorithm through the numerical simulation. Through numerical calculation, cloud computing platform can be divided into complex grids, and the transmission speed is fast, which is eight times than the finite difference method. The mesh is meticulous, which reaches millions. Convergence error is minimum, only 0.001. The calculation accuracy is up to 98.36%.

Virtualization Evolution

Web Services ◽  
2019 ◽  
pp. 1762-1789
Author(s):  
Harilaos Koumaras ◽  
Christos Damaskos ◽  
George Diakoumakos ◽  
Michail-Alexandros Kourtis ◽  
George Xilouris ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Software Defined Networking ◽  
Telecommunications Industry ◽  
Network Function Virtualization ◽  
Future Perspectives ◽  
Network Function ◽  
Computing Paradigm ◽  
Cloud Networking

This chapter discusses the evolution of the cloud computing paradigm and its applicability in various sections of the computing and networking/telecommunications industry, such as the cloud networking, the cloud offloading, and the network function virtualization. The new heterogeneous virtualized ecosystem that is formulated creates new needs and challenges for management and administration at the network part. For this purpose, the approach of Software-Defined Networking is discussed and its future perspectives are further analyzed.

scholarly journals VNF Placement Optimization at the Edge and Cloud †

2019 ◽  
Vol 11 (3) ◽  
pp. 69 ◽  
Author(s):  
Aris Leivadeas ◽  
George Kesidis ◽  
Mohamed Ibnkahla ◽  
Ioannis Lambadaris
Keyword(s):  
Cloud Computing ◽  
Service Providers ◽  
Research Area ◽  
End Users ◽  
Network Function Virtualization ◽  
Future Research ◽  
Cloud Infrastructure ◽  
Network Function ◽  
Computing Paradigm ◽  
Network Functions

Network Function Virtualization (NFV) has revolutionized the way network services are offered to end users. Individual network functions are decoupled from expensive and dedicated middleboxes and are now provided as software-based virtualized entities called Virtualized Network Functions (VNFs). NFV is often complemented with the Cloud Computing paradigm to provide networking functions to enterprise customers and end-users remote from their premises. NFV along with Cloud Computing has also started to be seen in Internet of Things (IoT) platforms as a means to provide networking functions to the IoT traffic. The intermix of IoT, NFV, and Cloud technologies, however, is still in its infancy creating a rich and open future research area. To this end, in this paper, we propose a novel approach to facilitate the placement and deployment of service chained VNFs in a network cloud infrastructure that can be extended using the Mobile Edge Computing (MEC) infrastructure for accommodating mission critical and delay sensitive traffic. Our aim is to minimize the end-to-end communication delay while keeping the overall deployment cost to minimum. Results reveal that the proposed approach can significantly reduce the delay experienced, while satisfying the Service Providers’ goal of low deployment costs.

scholarly journals Τεχνοοικονομική διαχείριση κινητών δικτύων πέμπτης γεννιάς (5G) και εξής

2021 ◽  
Author(s):  
Anastasia Κόλλια. Αναστασία
Keyword(s):  
Cloud Computing ◽  
Cognitive Radio ◽  
Massive Mimo ◽  
Multiple Input Multiple Output ◽  
Network Function Virtualization ◽  
Software Defined Networks ◽  
Network Function ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Antenna Systems

Σήμερα, η χρήση κινητών δικτύων αποτελεί αναπόσπαστο κομμάτι της καθημερινότητας. Οι χρήστες χρησιμοποιούν το κινητό τόσο για κλήσεις και μηνύματα όσο και για κοινωνικά δίκτυα, βίντεο, ταινίες, εφαρμογές ασκήσεις και φυσικής κατάστασης, παιχνίδια, εφαρμογές γραφείου, ημερολόγια κλπ. Η χρηστικότητα των συσκευών όχι μόνο έχει αλλάξει άρδην τα τελευταία χρόνια, αλλά αναμένεται να μεταβληθεί ακόμα περισσότερο ιδίως όταν εφαρμογές Internet of Things (IoT) προστεθούν στην ήδη διευρυμένη χρήση των κινητών συσκευών. Ακόμα, εμφανίζεται η τάση προσθήκης στο δίκτυο άλλων απλών οικιακών συσκευών και άλλου επιπρόσθετου εξοπλισμού π.χ. ιατρικών μικροσυσκευών, συσκευών παρακολούθησης, καμερών ασφαλείας κλπ. Η διδακτορική αυτή διατριβή αποτελεί μία συνολική μελέτη και περιλαμβάνει ένα πλαίσιο σχετικά με την πέμπτη γενιά κινητής τηλεπικοινωνίας. Αναλύεται η κατάσταση των Τηλεπικοινωνιών στην Ελλάδα σε βάθος. Ακόμα, περιγράφονται οι σημαντικότερες έννοιες και τα πιο βασικά βήματα και οι σημαντικότερες εξελίξεις των υπαρχουσών γενεών κινητών δικτύων επικοινωνίας. Επιπρόσθετα, περιγράφεται το θεωρητικό πλαίσιο για τα κινητά δίκτυα επικοινωνίας, καθώς και διάφοροι όροι, που είναι απαραίτητοι για την κατανόηση της παρούσας διατριβής. Αναλύονται διεξοδικά οι σημαντικότερες τεχνολογίες, που αποτελούν δομικούς λίθους για την ανάπτυξη, αλλά και την εξέλιξη στη δόμηση και ύπαρξη της 5G γενιάς κινητής τηλεπικοινωνίας, όπως έχει ήδη περιγραφεί από πλήθος ερευνητικών δράσεων και περιλαμβάνουν τις τεχνολογίες: Υπέρπυκνες Αρχιτεκτονικές (Ultra-dense), Distributed Antenna Systems (DAS), Network Function Virtualization (NFV), Software Defined Networks (SDN), Massive Multiple Input Multiple Output (MIMO), Cognitive Radio (CR), Milimeter Wave (mmWave), Cloud Computing και IoT και σύγκριση με τις σημερινές τεχνολογίες. Παρατίθενται τεχνο-οικονομικά μοντέλα, με βάση τις πιο σημαντικές τεχνολογίες, που συντελούν στην ανάπτυξη και προώθηση της 5G. Τα μοντέλα αυτά αποτελούν σημαντικό όπλο, ώστε οι πάροχοι να επενδύσουν σε νέες τεχνολογίες, να έχουν κέρδη και να καινοτομούν. Για το σκοπό αυτό επεξηγούνται τα αρχιτεκτονικά μοντέλα, τα μαθηματικά μοντέλα, οι παράμετροι, που επιλέγονται αλλά και τα αντίστοιχα πειράματα, που διεξάγονται για τις τεχνολογίες Ultra-density, DAS, NFV, SDN, Massive MIMO, CR, mmWave. Συνοψίζονται τα κυριότερα συμπεράσματα βάση των επιμέρους μελετών, που πραγματοποιήθηκαν στα πλαίσια της παρούσας διατριβής και προτείνονται ιδέες για μελλοντική έρευνα στον τομέα. Στα πλαίσια αυτά φιλοδοξείται ότι η συγκεκριμένη εργασία θα αποτελέσει ένα βασικό εργαλείο πληροφόρησης και ενημέρωσης για την επιστημονική και τηλεπικοινωνιακή κοινότητα σε ό,τι αναφορά στην τεχνο-οικονομική ανάλυση των τεχνολογιών, που αποτελούν τους θεμέλιους λίθους για τα δίκτυα Πέμπτης γενιάς.

Analysis of Network Function Virtualization and Software Defined Virtualization

2017 ◽  
Vol 1 (4) ◽  
pp. 122 ◽  
Author(s):  
M. Sandeep Kumar ◽  
Prabhu J
Keyword(s):  
Cloud Computing ◽  
Network Function Virtualization ◽  
Telecommunication Services ◽  
Network Function ◽  
Time Value ◽  
Academic Change ◽  
Architecture Framework ◽  
Future Direction

Network function virtualization (NFV) has played important role in both industry and academic change in telecommunication services. NFV has the ability to handle reduction on OPEX and CAPEX; it provides new service and also increases quickly in getting a time value. NFV has an opportunity in doing research in developing new innovation in architecture, framework, and measures some of the technology used in deploying in NVF. In this paper, the author describes the relation between NFV, SDV and cloud computing.  The architecture of NVF its advantage in using network function virtualization and some activity used in NFV and adoption of NVF and future direction of NFV, issues, and difference in NFV and SDV.

Cloud Computing

2015 ◽  
pp. 288-302 ◽  
Author(s):  
Manzoor Ahmed Khan ◽  
Fikret Sivrikaya
Keyword(s):  
Cloud Computing ◽  
Network Function Virtualization ◽  
Mobile Cloud ◽  
End User ◽  
Content Centric Networking ◽  
Server Side ◽  
Network Function ◽  
Computing Paradigm ◽  
Network Technologies ◽  
Rapid Transformation

The growth pattern of mobile devices and wireless network technologies leads to revolutionized communication markets with constant advancements (e.g., partly realized 4G and yet-awaited 5G wireless networks, content centric networking, and mobile cloud computing). From the thin-client paradigm of the early computing history, where the bulk of the computing power was on the server side, we have witnessed a rapid transformation to powerful mobile end-user devices with ubiquitous connectivity. The cloud-computing paradigm is now promising to bridge those two ends in order to combine the best of both worlds. This chapter presents: 1) basic concepts of cloud computing in examining the different perspectives of stakeholders in the cloud market, 2) survey of existing approaches and solutions, 3) applications of cloud computing, 4) architectural approaches to cloud computing, including traditional and mobile cloud architectures, and 5) an overview of the related Software-Defined Networking and Network Function Virtualization concepts.

scholarly journals Dynamic Load Balancing by Round Robin and Warshall Algorithm in Cloud Computing

2019 ◽  
Vol 8 (9S) ◽  
pp. 953-963
Keyword(s):  
Cloud Computing ◽  
Dynamic Load ◽  
Fault Tolerant ◽  
Dynamic Load Balancing ◽  
Network Function Virtualization ◽  
Maximum Throughput ◽  
New Approach ◽  
Network Function ◽  
Advantages And Disadvantages ◽  
Area Of Interest

Cloud Computing is a well- known technology that delivers scalable, fault–tolerant, consistent, secure and reliable computational services. Cloud figure out grants its services in subscriptions means user have to pay as much they use. Due to the continuously progressing and increasing area, cloud figure out is a very good topic for researchers. The main area of interest in cloud figure out is virtualization, collates, software defined network, network function virtualization and many more. There are limited load collates algorithms are used in cloud, and all algorithms having its own advantages and disadvantages. This is the requirement of time to invent a new efficient algorithm in load collate in cloud figure out, through which we can get maximum throughput, minimum response time, etc. Here in this research paper authors are proposing a new approach of dynamic load collate, which mainly depends on the distance between datacenter to host. Simulation is done by CloudSim toolkit. Authentication and effectiveness of the proposed load collate algorithm are checked by comparative analysis with existing load collate algorithm.

Enterprise Security Framework for Enterprise Cloud Data Centres

2019 ◽  
pp. 226-248
Author(s):  
Muthu Ramachandran
Keyword(s):  
Cloud Computing ◽  
Cloud Provider ◽  
New Paradigm ◽  
Cloud Data ◽  
Enterprise Model ◽  
The One ◽  
Storage Technologies ◽  
Enterprise Security ◽  
Cloud Users ◽  
Data Centres

Enterprise security is the key to achieve global information security in business and organisations. Enterprise Cloud computing is a new paradigm for that enterprise where businesses need to be secured. However, this new trend needs to be more systematic with respect to Enterprise Cloud security. This chapter has developed a framework for enterprise security to analyze and model Enterprise Cloud organisational security of the Enterprise Cloud and its data. In particular, Enterprise Cloud data & Enterprise Cloud storage technologies (Amazon s3, Drop Box, Google Drive, etc.) have now become a normal practice for almost every computing user's. Therefore, building trust for Enterprise Cloud users should be the one of the main focuses of Enterprise Cloud computing research. This chapter has developed a framework for enterprises which comprises of two models of businesses: Enterprise Cloud provider enterprise model and Enterprise Cloud consumer enterprise model.

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