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.

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.

Virtualization Evolution

2016 ◽  
pp. 2345-2372
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.

Virtualization Evolution

2015 ◽  
pp. 279-306
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 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.

Transporting the Cloud

2014 ◽  
pp. 135-156
Author(s):  
Claudio Estevez
Keyword(s):  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Transport Layer ◽  
Mobile Cloud ◽  
Transport Protocols ◽  
End User ◽  
Advantages And Disadvantages ◽  
Processing Power ◽  
And Storage

Cloud computing is consistently proving to be the dominant architecture of the future, and mobile technology is the catalyst. By having the processing power and storage remotely accessible, the main focus of the terminal is now related to connectivity and user-interface. The success of cloud-based applications greatly depends on the throughput experienced by the end user, which is why transport protocols play a key role in mobile cloud computing. This chapter discusses the main issues encountered in cloud networks that affect connection-oriented transport protocols. These issues include, but are not limited to, large delay connections, bandwidth variations, power consumption, and high segment loss rates. To reduce these adverse effects, a set of proposed solutions are presented; furthermore, the advantages and disadvantages are discussed. Finally, suggestions are made for future mobile cloud computing transport-layer designs that address different aspects of the network, such as transparency, congestion-intensity estimation, and quality-of-service integration.

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.

scholarly journals Machine-Learning Defined Networking: Towards Intelligent Networks

2021 ◽  
pp. 3-12
Author(s):  
Sebastian Troia
Keyword(s):  
Machine Learning ◽  
Service Providers ◽  
Dynamic Network ◽  
Network Function Virtualization ◽  
Traffic Demand ◽  
Network Function ◽  
Network Utilization ◽  
Underlying Network ◽  
Network Operations ◽  
Network Technologies

AbstractWith the advent of 5G technology and an ever-increasing traffic demand, today Communication Service Providers (CSPs) experience a progressive congestion of their networks. The operational complexity, the use of manual configuration, the static nature of current technologies together with fast-changing traffic profiles lead to: inefficient network utilization, over-provisioning of resources and very high Capital Expenditures (CapEx) and Operational Expenses (OpEx). This situation is forcing the CSPs to change their underlying network technologies, and have started to look at new technological solutions that increase the level of programmability, control, and flexibility of configuration, while reducing the overall costs related to network operations. Software Define Networking (SDN), Network Function Virtualization (NFV) and Machine Learning (ML) are accepted as effective solutions to reduce CapEx and OpEx and to boost network innovation. This chapter summarizes the content of my Ph.D. thesis, by presenting new ML-based approaches in order to efficiently optimize resources in 5G metro-core SDN/NFV networks. The main goal is to provide the modern CSP with intelligent and dynamic network optimization tools in order to address the requirements of increasing traffic demand and 5G technology.

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