Example of IEEE Transactions on Network and Service Management format
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Example of IEEE Transactions on Network and Service Management format Example of IEEE Transactions on Network and Service Management format Example of IEEE Transactions on Network and Service Management format Example of IEEE Transactions on Network and Service Management format
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Example of IEEE Transactions on Network and Service Management format Example of IEEE Transactions on Network and Service Management format Example of IEEE Transactions on Network and Service Management format Example of IEEE Transactions on Network and Service Management format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

IEEE Transactions on Network and Service Management — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #86 of 693 up up by 2 ranks
Computer Networks and Communications #43 of 334 down down by 2 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 506 Published Papers | 3973 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/07/2020
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FAQ

Related Journals

open access Open Access

IEEE

Quality:  
High
CiteRatio: 7.7
SJR: 0.864
SNIP: 1.736
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IEEE

Quality:  
High
CiteRatio: 12.8
SJR: 1.276
SNIP: 2.202
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IEEE

Quality:  
High
CiteRatio: 23.1
SJR: 2.986
SNIP: 3.538
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Elsevier

Quality:  
High
CiteRatio: 13.2
SJR: 1.567
SNIP: 2.912

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

7.9

15% from 2019

CiteRatio for IEEE Transactions on Network and Service Management from 2016 - 2020
Year Value
2020 7.9
2019 9.3
2018 6.7
2017 5.5
2016 5.1
graph view Graph view
table view Table view

0.945

30% from 2019

SJR for IEEE Transactions on Network and Service Management from 2016 - 2020
Year Value
2020 0.945
2019 1.359
2018 0.846
2017 0.63
2016 0.663
graph view Graph view
table view Table view

1.786

18% from 2019

SNIP for IEEE Transactions on Network and Service Management from 2016 - 2020
Year Value
2020 1.786
2019 2.177
2018 2.589
2017 2.12
2016 2.339
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 15% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 30% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 18% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Transactions on Network and Service Management

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IEEE

IEEE Transactions on Network and Service Management

Approved by publishing and review experts on SciSpace, this template is built as per for IEEE Transactions on Network and Service Management formatting guidelines as mentioned in IEEE author instructions. The current version was created on 02 Jul 2020 and has been used by 651 authors to write and format their manuscripts to this journal.

Computer Networks and Communications

Electrical and Electronic Engineering

Computer Science

i
Last updated on
02 Jul 2020
i
ISSN
1932-4537
i
Impact Factor
High - 1.489
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
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Bibliography Name
IEEEtran
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Citation Type
Numbered
[25]
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Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

Journal Article DOI: 10.1109/TNSM.2016.2598420
Resource Allocation in NFV: A Comprehensive Survey
Juliver Gil Herrera1, Juan Felipe Botero1

Abstract:

Network functions virtualization (NFV) is a new network architecture framework where network function that traditionally used dedicated hardware (middleboxes or network appliances) are now implemented in software that runs on top of general purpose hardware such as high volume server. NFV emerges as an initiative from the ind... Network functions virtualization (NFV) is a new network architecture framework where network function that traditionally used dedicated hardware (middleboxes or network appliances) are now implemented in software that runs on top of general purpose hardware such as high volume server. NFV emerges as an initiative from the industry (network operators, carriers, and manufacturers) in order to increase the deployment flexibility and integration of new network services with increased agility within operator’s networks and to obtain significant reductions in operating expenditures and capital expenditures. NFV promotes virtualizing network functions such as transcoders, firewalls, and load balancers, among others, which were carried out by specialized hardware devices and migrating them to software-based appliances. One of the main challenges for the deployment of NFV is the resource allocation of demanded network services in NFV-based network infrastructures. This challenge has been called the NFV resource allocation (NFV-RA) problem. This paper presents a comprehensive state of the art of NFV-RA by introducing a novel classification of the main approaches that pose solutions to solve it. This paper also presents the research challenges that are still subject of future investigation in the NFV-RA realm. read more read less

Topics:

Network architecture (57%)57% related to the paper, Virtualization (53%)53% related to the paper, Resource allocation (53%)53% related to the paper, Resource management (51%)51% related to the paper, Server (50%)50% related to the paper
762 Citations
Journal Article DOI: 10.1109/TCOMM.2012.031912.110179
Hierarchical Trust Management for Wireless Sensor Networks and its Applications to Trust-Based Routing and Intrusion Detection
Fenye Bao1, Ing-Ray Chen1, MoonJeong Chang1, Jin-Hee Cho2

Abstract:

We propose a highly scalable cluster-based hierarchical trust management protocol for wireless sensor networks (WSNs) to effectively deal with selfish or malicious nodes. Unlike prior work, we consider multidimensional trust attributes derived from communication and social networks to evaluate the overall trust of a sensor no... We propose a highly scalable cluster-based hierarchical trust management protocol for wireless sensor networks (WSNs) to effectively deal with selfish or malicious nodes. Unlike prior work, we consider multidimensional trust attributes derived from communication and social networks to evaluate the overall trust of a sensor node. By means of a novel probability model, we describe a heterogeneous WSN comprising a large number of sensor nodes with vastly different social and quality of service (QoS) behaviors with the objective to yield "ground truth" node status. This serves as a basis for validating our protocol design by comparing subjective trust generated as a result of protocol execution at runtime against objective trust obtained from actual node status. To demonstrate the utility of our hierarchical trust management protocol, we apply it to trust-based geographic routing and trust-based intrusion detection. For each application, we identify the best trust composition and formation to maximize application performance. Our results indicate that trust-based geographic routing approaches the ideal performance level achievable by flooding-based routing in message delivery ratio and message delay without incurring substantial message overhead. For trust-based intrusion detection, we discover that there exists an optimal trust threshold for minimizing false positives and false negatives. Furthermore, trust-based intrusion detection outperforms traditional anomaly-based intrusion detection approaches in both the detection probability and the false positive probability. read more read less

Topics:

Geographic routing (59%)59% related to the paper, Intrusion detection system (59%)59% related to the paper, Routing protocol (56%)56% related to the paper, Wireless sensor network (54%)54% related to the paper, Sensor node (54%)54% related to the paper
View PDF
444 Citations
open accessOpen access Journal Article DOI: 10.1109/TNSM.2015.2401568
NetVM: High Performance and Flexible Networking Using Virtualization on Commodity Platforms
Jinho Hwang1, Kadangode K. Ramakrishnan2, Timothy Wood3

Abstract:

NetVM brings virtualization to the Network by enabling high bandwidth network functions to operate at near line speed, while taking advantage of the flexibility and customization of low cost commodity servers. NetVM allows customizable data plane processing capabilities such as firewalls, proxies, and routers to be embedded w... NetVM brings virtualization to the Network by enabling high bandwidth network functions to operate at near line speed, while taking advantage of the flexibility and customization of low cost commodity servers. NetVM allows customizable data plane processing capabilities such as firewalls, proxies, and routers to be embedded within virtual machines, complementing the control plane capabilities of Software Defined Networking. NetVM makes it easy to dynamically scale, deploy, and reprogram network functions. This provides far greater flexibility than existing purpose-built, sometimes proprietary hardware, while still allowing complex policies and full packet inspection to determine subsequent processing. It does so with dramatically higher throughput than existing software router platforms. NetVM is built on top of the KVM platform and Intel DPDK library. We detail many of the challenges we have solved such as adding support for high-speed inter-VM communication through shared huge pages and enhancing the CPU scheduler to prevent overheads caused by inter-core communication and context switching. NetVM allows true zero-copy delivery of data to VMs both for packet processing and messaging among VMs within a trust boundary. Our evaluation shows how NetVM can compose complex network functionality from multiple pipelined VMs and still obtain throughputs up to 10 Gbps, an improvement of more than 250% compared to existing techniques that use SR-IOV for virtualized networking. read more read less

Topics:

Software-defined networking (55%)55% related to the paper, Packet processing (55%)55% related to the paper, Virtualization (53%)53% related to the paper, Trust boundary (53%)53% related to the paper, Forwarding plane (52%)52% related to the paper
399 Citations
Journal Article DOI: 10.1109/TNSM.2019.2899085
Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

Abstract:

The massive adoption of hand-held devices has led to the explosion of mobile traffic volumes traversing home and enterprise networks, as well as the Internet. Traffic classification (TC), i.e., the set of procedures for inferring (mobile) applications generating such traffic, has become nowadays the enabler for highly valuabl... The massive adoption of hand-held devices has led to the explosion of mobile traffic volumes traversing home and enterprise networks, as well as the Internet. Traffic classification (TC), i.e., the set of procedures for inferring (mobile) applications generating such traffic, has become nowadays the enabler for highly valuable profiling information (with certain privacy downsides), other than being the workhorse for service differentiation/blocking. Nonetheless, the design of accurate classifiers is exacerbated by the raising adoption of encrypted protocols (such as TLS), hindering the suitability of (effective) deep packet inspection approaches. Also, the fast-expanding set of apps and the moving-target nature of mobile traffic makes design solutions with usual machine learning, based on manually and expert-originated features, outdated and unable to keep the pace. For these reasons deep learning (DL) is here proposed, for the first time, as a viable strategy to design practical mobile traffic classifiers based on automatically extracted features, able to cope with encrypted traffic, and reflecting their complex traffic patterns. To this end, different state-of-the-art DL techniques from (standard) TC are here reproduced, dissected (highlighting critical choices), and set into a systematic framework for comparison, including also a performance evaluation workbench. The latter outcome, although declined in the mobile context, has the applicability appeal to the wider umbrella of encrypted TC tasks. Finally, the performance of these DL classifiers is critically investigated based on an exhaustive experimental validation (based on three mobile datasets of real human users’ activity), highlighting the related pitfalls, design guidelines, and challenges. read more read less

Topics:

Traffic classification (58%)58% related to the paper, Deep packet inspection (51%)51% related to the paper, Encryption (50%)50% related to the paper
359 Citations
Journal Article DOI: 10.1109/TNSM.2015.2402432
Heuristic Approaches to the Controller Placement Problem in Large Scale SDN Networks

Abstract:

Software Defined Networking (SDN) marks a paradigm shift towards an externalized and logically centralized network control plane. A particularly important task in SDN architectures is that of controller placement, i.e., the positioning of a limited number of resources within a network to meet various requirements. These requi... Software Defined Networking (SDN) marks a paradigm shift towards an externalized and logically centralized network control plane. A particularly important task in SDN architectures is that of controller placement, i.e., the positioning of a limited number of resources within a network to meet various requirements. These requirements range from latency constraints to failure tolerance and load balancing. In most scenarios, at least some of these objectives are competing, thus no single best placement is available and decision makers need to find a balanced trade-off. This work presents POCO, a framework for Pareto-based Optimal COntroller placement that provides operators with Pareto optimal placements with respect to different performance metrics. In its default configuration, POCO performs an exhaustive evaluation of all possible placements. While this is practically feasible for small and medium sized networks, realistic time and resource constraints call for an alternative in the context of large scale networks or dynamic networks whose properties change over time. For these scenarios, the POCO toolset is extended by a heuristic approach that is less accurate, but yields faster computation times. An evaluation of this heuristic is performed on a collection of real world network topologies from the Internet Topology Zoo. Utilizing a measure for quantifying the error introduced by the heuristic approach allows an analysis of the resulting trade-off between time and accuracy. Additionally, the proposed methods can be extended to solve similar virtual functions placement problems which appear in the context of Network Functions Virtualization (NFV). read more read less

Topics:

Network topology (57%)57% related to the paper, Software-defined networking (55%)55% related to the paper, Load balancing (computing) (55%)55% related to the paper, OpenFlow (53%)53% related to the paper, Multi-objective optimization (51%)51% related to the paper
357 Citations
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Frequently asked questions

1. Can I write IEEE Transactions on Network and Service Management in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Network and Service Management guidelines and auto format it.

2. Do you follow the IEEE Transactions on Network and Service Management guidelines?

Yes, the template is compliant with the IEEE Transactions on Network and Service Management guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in IEEE Transactions on Network and Service Management?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the IEEE Transactions on Network and Service Management citation style.

4. Can I use the IEEE Transactions on Network and Service Management templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for IEEE Transactions on Network and Service Management.

5. Can I use a manuscript in IEEE Transactions on Network and Service Management that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper IEEE Transactions on Network and Service Management that you can download at the end.

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It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Network and Service Management.

7. Where can I find the template for the IEEE Transactions on Network and Service Management?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Network and Service Management's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

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Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

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SciSpace's IEEE Transactions on Network and Service Management is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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After writing your paper autoformatting in IEEE Transactions on Network and Service Management, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Network and Service Management's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Network and Service Management?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for IEEE Transactions on Network and Service Management. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In IEEE Transactions on Network and Service Management?

The 5 most common citation types in order of usage for IEEE Transactions on Network and Service Management are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

15. How do I submit my article to the IEEE Transactions on Network and Service Management?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Network and Service Management's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Transactions on Network and Service Management in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in IEEE Transactions on Network and Service Management Endnote style according to Elsevier guidelines.

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