PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers

Cui, Lin; Tso, Fung Po; Pezaros, Dimitrios P.; Jia, Weijia; Zhao, Wei

doi:10.1109/tpds.2016.2604811

Cited by 30 publications

(16 citation statements)

References 36 publications

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“…However, little attention has been paid to VNF placement while meeting the QoS requirements of the applications. PLAN [20] intends to minimize the network communication cost while meeting network policy requirements. However, it only considers traditional middleboxes, and it does not take into account the option of VNF migration.…”

Section: Software Defined Cloudsmentioning

confidence: 99%

Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds

Toosi¹,

Mahmud

Chi

et al. 2019

Fog and Edge Computing

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Network slicing allows network operators to build multiple isolated virtual networks on a shared physical network to accommodate a wide variety of services and applications. With network slicing, service providers can provide a cost-efficient solution towards meeting diverse performance requirements of deployed applications and services. Despite slicing benefits, End-to-End orchestration and management of network slices is a challenging and complicated task. In this chapter, we intend to survey all the relevant aspects of network slicing, with the focus on networking technologies such as Software-defined networking (SDN) and Network Function Virtualization (NFV) in 5G, Fog/Edge and Cloud Computing platforms. To build the required background, this chapter begins with a brief overview of 5G, Fog/Edge and Cloud computing, and their interplay. Then we cover the 5G vision for network slicing and extend it to the Fog and Cloud computing through surveying the state-of-the-art slicing approaches in these platforms. We conclude the chapter by discussing future directions, analyzing gaps and trends towards the network slicing realization. Introduction 2The major digital transformation happening all around the world these days has introduced a wide variety of applications and services ranging from smart cities and vehicle to vehicle (V2V) communication to virtual reality (VR)/augmented reality (AR) and remote medical surgery. Design and implementation of a network that can simultaneously provide the essential connectivity and performance requirements of all these applications with a single set of network functions not only is massively complex but also is prohibitively expensive. The 5G Infrastructure Public-Private Partnership (5G-PPP) has identified various use case families of enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low latency communication (uRLLC) or Critical Communications that would simultaneously run and share the 5G physical multi-service network [1]. These applications essentially have very different Quality of Service (QoS) requirements and transmission characteristics. For instance, Video-on-demand streaming applications in eMMB category require very high bandwidth and transmitting a large amount of content. While mMTC applications, suchas Internet of Things (IoT), typically have a multitude of low throughput devices. The differences between these use cases show that the one-size-fits-all approach of the traditional networks does not satisfy different requirements of all these vertical services.A cost-efficient solution towards meeting these requirements is slicing physical network into multiple isolated logical networks. Similar to server virtualization technology successfully used in Cloud computing era, network slicing intends to build a form of virtualization that partitions a shared physical network infrastructure into multiple end-to-end level logical networks allowing for traffic groupingandtenants' traffic isolation. Network slicing is considered a...

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Section: Software Defined Cloudsmentioning

confidence: 99%

Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds

Toosi¹,

Mahmud

Chi

et al. 2019

Fog and Edge Computing

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“…Cui L [11] defines an approach for a Policy-Aware and Networkaware VM management scheme. Both Aware are jointly considering DC communication cost reduction by using Virtual Machine (VM) migration.…”

Section: Bga = (V a E T S P)mentioning

confidence: 99%

An Analysis of Hybrid Authentication and Authorization Model for Web Based Application

Baraithiya¹,

Pateriya²

2017

J Inform Tech Softw Eng

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An Identify Access Management (IAM) system is very important and trusted source for accessing the website related information. Now in real world it is always need for safe the personal and sensitive information of website from malicious insiders. It always needs a well-defined authentication and authorization mechanism to ensure only the right persons only can access the right applications at a right time with the given privilege. The website is having many users with different Identity and its Access Management via using authentication and authorization. The existing models have some limitations in the implementation phase in this research. This research having analysis of hybrid authentication and authorization model for secure and user-friendly web-based applications. It also compares different access control models and their features with the proposed hybrid model. Weili H [2] research shows that comprehensively study on the differences between passwords from English and Chinese web domain users. First it searches those Chinese preference digits when the web user is composing their passwords using letters in website. It provides the password strength based on its guessing similar. Second, it observes that both group of user's preferences the patterns that they are familiar • (P, T, F P ×T , W P ×T ) is a WF-net;• m 0 (where i is the sole place containing a token) is the initial marking;• I (resp. O) is a set of input (resp. output) places (I∪O represents the set of interface places) satisfying:• m f (where o is the sole place containing a token) is a final marking (Figure 2).The proposed services establish a suitable abstraction that allows checking these opacity variants locally to each component of a composite WS using SOG.Liu L [4] proposed an algorithm called the improved Bayesian attack graph (I-BAG) model. First the I-BAG takes attack management after that control the threat factors with its consideration. The website is having fewer security risks from using this one as compared to the existing attack graph models. It is used to improve Bayesian attack graph to optimized website attack graph with attack benefit nodes. It manages the threat factor nodes as well as the local conditional probability distribution. It calculates the probability of attack in website with the risk value based on the level of nodes. It is having the set of tuple in the following manner (Figure 3). BGA = (V, A, E, T, S, P)Now it compared with the traditional Bayesian attack graph model. So the improved model contains a set E and a set T. E is the set of attack benefit nodes, and T is the set of threat factor nodes. Since the set S contains four kinds of directed edges, S can be expressed as follows:proposed a cloud storage model where a unified multi cloud storage solution is available for users. It is work as outsource backup data with reliability and security. It always provides some services with the cost efficiency guarantees. This service builds by using an augmented secret sharing scheme called convergent dispe...

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“…Current studies tackle the latency problem through VNF placement optimisation [4], VNF chaining [5] [6] and VNF parallelisation [7]. These methods improve latency by shortening end-to-end paths.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Network Function Chain Composition for Mitigating Network Latency

Hajji

Genez

Tso

et al. 2018

2018 IEEE Symposium on Computers and Communications (ISCC)

Self Cite

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Network Function Virtualisation (NFV) enables rapid deployment of new services in networks on an on-demand basis using general purpose servers. Multiple virtual network functions (VNFs) can be dynamically chained in an ordered sequence for the delivery of end-to-end services. Nevertheless, network latency caused by the sequential order of packet processing on every VNF can hurt the performance of latency-sensitive applications. To reduce such network latency, existing solutions only consider the maximum capacity of individual virtual network functions (VNFs) and do not take into account the fact that performance of VNFs, as with any software applications, is bottlenecked by either CPU or I/O peripheral capacity of the server they run on and their underneath implementation such as singleor multi-threaded. By exploiting this knowledge, we can better determine the number of required VNF instances and distribute the network traffic among them for any given VNF chains. In this paper, we formulate the VNF Scaling and Traffic Distribution problem and prove that it is NP-hard. We then present the design and implementation of Natif, an efficient VNF-Aware VNF insTantIation and traFfic distribution scheme. Through our OpenStack-based testbed evaluations, we demonstrate that Natif can significantly improve the network latency by 188% on average as compared to other approaches. As a chain composition scheme, Natif can effectively work with any VNF chaining algorithms.

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PLAN: Joint Policy- and Network-Aware VM Management for Cloud Data Centers

Cited by 30 publications

References 36 publications

Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds

Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds

An Analysis of Hybrid Authentication and Authorization Model for Web Based Application

Dynamic Network Function Chain Composition for Mitigating Network Latency

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