Example of Queueing Systems format
Recent searches

Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
Look Inside
Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format Example of Queueing Systems format
Sample paper formatted on SciSpace - SciSpace
This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Queueing Systems — Template for authors

Publisher: Springer
Categories Rank Trend in last 3 yrs
Statistics and Probability #104 of 239 down down by None rank
Management Science and Operations Research #97 of 166 down down by 34 ranks
Computer Science Applications #426 of 693 down down by 141 ranks
Computational Theory and Mathematics #83 of 133 down down by 30 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 159 Published Papers | 285 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 16/06/2020
Related journals
Insights
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Related Journals

open access Open Access
recommended Recommended

Oxford University Press

Quality:  
High
CiteRatio: 9.9
SJR: 3.599
SNIP: 2.056
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 8.2
SJR: 1.331
SNIP: 1.866
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 4.6
SJR: 0.601
SNIP: 1.294

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

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

1.114

37% from 2018

Impact factor for Queueing Systems from 2016 - 2019
Year Value
2019 1.114
2018 0.814
2017 1.171
2016 1.06
graph view Graph view
table view Table view

1.8

10% from 2019

CiteRatio for Queueing Systems from 2016 - 2020
Year Value
2020 1.8
2019 2.0
2018 1.8
2017 2.0
2016 2.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 37% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

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

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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.

0.426

43% from 2019

SJR for Queueing Systems from 2016 - 2020
Year Value
2020 0.426
2019 0.745
2018 0.457
2017 0.809
2016 0.915
graph view Graph view
table view Table view

0.832

29% from 2019

SNIP for Queueing Systems from 2016 - 2020
Year Value
2020 0.832
2019 1.176
2018 0.864
2017 1.644
2016 1.729
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 43% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 29% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Queueing Systems

Guideline source: View

All company, product and service names used in this website are for identification purposes only. All product names, trademarks and registered trademarks are property of their respective owners.

Use of these names, trademarks and brands does not imply endorsement or affiliation. Disclaimer Notice

Springer

Queueing Systems

Queueing Systems: Theory and Applications (QUES) is a well-established journal focusing on the theory of resource sharing in a wide sense, particularly withina network context. The journal is primarily interested in probabilistic and statistical problems in this setting.QUES w...... Read More

Management Science and Operations Research

Computer Science Applications

Computational Theory and Mathematics

Decision Sciences

i
Last updated on
16 Jun 2020
i
ISSN
0257-0130
i
Impact Factor
High - 1.345
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
SPBASIC
i
Citation Type
Author Year
(Blonder et al, 1982)
i
Bibliography Example
Beenakker CWJ (2006) Specular andreev reflection in graphene. Phys Rev Lett 97(6):067,007, URL 10.1103/PhysRevLett.97.067007

Top papers written in this journal

Journal Article DOI: 10.1007/BF01149327
Queueing systems with vacations—a survey
B. Doshi1
01 Jan 1986 - Queueing Systems

Abstract:

Queueing systems in which the server works on primary and secondary (vacation) customers arise in many computer, communication, production and other stochastic systems. These systems can frequently be modeled as queueing systems with vacations. In this survey, we give an overview of some general decomposition results and the ... Queueing systems in which the server works on primary and secondary (vacation) customers arise in many computer, communication, production and other stochastic systems. These systems can frequently be modeled as queueing systems with vacations. In this survey, we give an overview of some general decomposition results and the methodology used to obtain these results for two vacation models. We also show how other related models can be solved in terms of the results for these basic models. We attempt to provide a methodological overview with the objective of illustrating how the seemingly diverse mix of problems is closely related in structure and can be understood in a common framework. read more read less

Topics:

Layered queueing network (63%)63% related to the paper, Mean value analysis (55%)55% related to the paper, Queueing theory (52%)52% related to the paper
1,136 Citations
Journal Article DOI: 10.1007/BF01158964
A storage model with self-similar input
01 Sep 1994 - Queueing Systems

Abstract:

A storage model with self-similar input process is studied. A relation coupling together the storage requirement, the achievable utilization and the output rate is derived. A lower bound for the complementary distribution function of the storage level is given. A storage model with self-similar input process is studied. A relation coupling together the storage requirement, the achievable utilization and the output rate is derived. A lower bound for the complementary distribution function of the storage level is given. read more read less

Topics:

Storage model (64%)64% related to the paper
917 Citations
open accessOpen access Journal Article DOI: 10.1007/BF01158636
Manufacturing flow line systems: a review of models and analytical results
Yves Dallery1, Stanley B. Gershwin2
01 Dec 1992 - Queueing Systems

Abstract:

The most important models and results of the manufacturing flow line literature are described. These include the major classes of models (asynchronous, synchronous, and continuous); the major features (blocking, processing times, failures and repairs); the major properties (conservation of flow, flow rate-idle time, reversibi... The most important models and results of the manufacturing flow line literature are described. These include the major classes of models (asynchronous, synchronous, and continuous); the major features (blocking, processing times, failures and repairs); the major properties (conservation of flow, flow rate-idle time, reversibility, and others); and the relationships among different models. Exact and approximate methods for obtaining quantitative measures of performance are also reviewed. The exact methods are appropriate for small systems. The approximate methods, which are the only means available for large systems, are generally based on decomposition, and make use of the exact methods for small systems. Extensions are briefly discussed. Directions for future research are suggested. read more read less
View PDF
787 Citations
Journal Article DOI: 10.1007/BF01158520
The Fourier-series method for inverting transforms of probability distributions
Joseph Abate, Ward Whitt1
03 Jan 1992 - Queueing Systems

Abstract:

This paper reviews the Fourier-series method for calculating cumulative distribution functions (cdf's) and probability mass functions (pmf's) by numerically inverting characteristic functions, Laplace transforms and generating functions. Some variants of the Fourier-series method are remarkably easy to use, requiring programs... This paper reviews the Fourier-series method for calculating cumulative distribution functions (cdf's) and probability mass functions (pmf's) by numerically inverting characteristic functions, Laplace transforms and generating functions. Some variants of the Fourier-series method are remarkably easy to use, requiring programs of less than fifty lines. The Fourier-series method can be interpreted as numerically integrating a standard inversion integral by means of the trapezoidal rule. The same formula is obtained by using the Fourier series of an associated periodic function constructed by aliasing; this explains the name of the method. This Fourier analysis applies to the inversion problem because the Fourier coefficients are just values of the transform. The mathematical centerpiece of the Fourier-series method is the Poisson summation formula, which identifies the discretization error associated with the trapezoidal rule and thus helps bound it. The greatest difficulty is approximately calculating the infinite series obtained from the inversion integral. Within this framework, lattice cdf's can be calculated from generating functions by finite sums without truncation. For other cdf's, an appropriate truncation of the infinite series can be determined from the transform based on estimates or bounds. For Laplace transforms, the numerical integration can be made to produce a nearly alternating series, so that the convergence can be accelerated by techniques such as Euler summation. Alternatively, the cdf can be perturbed slightly by convolution smoothing or windowing to produce a truncation error bound independent of the original cdf. Although error bounds can be determined, an effective approach is to use two different methods without elaborate error analysis. For this purpose, we also describe two methods for inverting Laplace transforms based on the Post-Widder inversion formula. The overall procedure is illustrated by several queueing examples. read more read less

Topics:

Poisson summation formula (62%)62% related to the paper, Fourier series (61%)61% related to the paper, Fourier analysis (61%)61% related to the paper, Euler summation (60%)60% related to the paper, Laplace transform (60%)60% related to the paper
View PDF
726 Citations
Journal Article DOI: 10.1007/S11134-005-1450-0
Maximizing Queueing Network Utility Subject to Stability: Greedy Primal-Dual Algorithm
Alexander L. Stolyar1
01 Aug 2005 - Queueing Systems

Abstract:

We study a model of controlled queueing network, which operates and makes control decisions in discrete time. An underlying random network mode determines the set of available controls in each time slot. Each control decision "produces" a certain vector of "commodities"; it also has associated "traditional" queueing control e... We study a model of controlled queueing network, which operates and makes control decisions in discrete time. An underlying random network mode determines the set of available controls in each time slot. Each control decision "produces" a certain vector of "commodities"; it also has associated "traditional" queueing control effect, i.e., it determines traffic (customer) arrival rates, service rates at the nodes, and random routing of processed customers among the nodes. The problem is to find a dynamic control strategy which maximizes a concave utility function H(X), where X is the average value of commodity vector, subject to the constraint that network queues remain stable. We introduce a dynamic control algorithm, which we call Greedy Primal-Dual (GPD) algorithm, and prove its asymptotic optimality. We show that our network model and GPD algorithm accommodate a wide range of applications. As one example, we consider the problem of congestion control of networks where both traffic sources and network processing nodes may be randomly time-varying and interdependent. We also discuss a variety of resource allocation problems in wireless networks, which in particular involve average power consumption constraints and/or optimization, as well as traffic rate constraints. read more read less

Topics:

Traffic equations (64%)64% related to the paper, Layered queueing network (64%)64% related to the paper, Network congestion (60%)60% related to the paper, Queueing theory (57%)57% related to the paper, Wireless network (56%)56% related to the paper
539 Citations
Author Pic

SciSpace is a very innovative solution to the formatting problem and existing providers, such as Mendeley or Word did not really evolve in recent years.

- Andreas Frutiger, Researcher, ETH Zurich, Institute for Biomedical Engineering

Get MS-Word and LaTeX output to any Journal within seconds
1
Choose a template
Select a template from a library of 40,000+ templates
2
Import a MS-Word file or start fresh
It takes only few seconds to import
3
View and edit your final output
SciSpace will automatically format your output to meet journal guidelines
4
Submit directly or Download
Submit to journal directly or Download in PDF, MS Word or LaTeX

(Before submission check for plagiarism via Turnitin)

clock Less than 3 minutes

What to expect from SciSpace?

Speed and accuracy over MS Word

''

With SciSpace, you do not need a word template for Queueing Systems.

It automatically formats your research paper to Springer formatting guidelines and citation style.

You can download a submission ready research paper in pdf, LaTeX and docx formats.

Time comparison

Time taken to format a paper and Compliance with guidelines

Plagiarism Reports via Turnitin

SciSpace has partnered with Turnitin, the leading provider of Plagiarism Check software.

Using this service, researchers can compare submissions against more than 170 million scholarly articles, a database of 70+ billion current and archived web pages. How Turnitin Integration works?

Turnitin Stats
Publisher Logos

Freedom from formatting guidelines

One editor, 100K journal formats – world's largest collection of journal templates

With such a huge verified library, what you need is already there.

publisher-logos

Easy support from all your favorite tools

Queueing Systems format uses SPBASIC citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

Frequently asked questions

1. Can I write Queueing Systems in LaTeX?

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

2. Do you follow the Queueing Systems guidelines?

Yes, the template is compliant with the Queueing Systems 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 Queueing Systems?

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 Queueing Systems citation style.

4. Can I use the Queueing Systems 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 Queueing Systems.

5. Can I use a manuscript in Queueing Systems 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 Queueing Systems that you can download at the end.

6. How long does it usually take you to format my papers in Queueing Systems?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Queueing Systems.

7. Where can I find the template for the Queueing Systems?

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 Queueing Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Queueing Systems's guidelines?

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.

9. Queueing Systems an online tool or is there a desktop version?

SciSpace's Queueing Systems 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.

10. I cannot find my template in your gallery. Can you create it for me like Queueing Systems?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Queueing Systems?”

11. What is the output that I would get after using Queueing Systems?

After writing your paper autoformatting in Queueing Systems, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Queueing Systems'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 Queueing Systems?

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 Queueing Systems. 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 Queueing Systems?

The 5 most common citation types in order of usage for Queueing Systems 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 Queueing Systems?

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 Queueing Systems's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Queueing Systems 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 Queueing Systems Endnote style according to Elsevier guidelines.

Fast and reliable,
built for complaince.

Instant formatting to 100% publisher guidelines on - SciSpace.

Available only on desktops 🖥

No word template required

Typset automatically formats your research paper to Queueing Systems formatting guidelines and citation style.

Verifed journal formats

One editor, 100K journal formats.
With the largest collection of verified journal formats, what you need is already there.

Trusted by academicians

I spent hours with MS word for reformatting. It was frustrating - plain and simple. With SciSpace, I can draft my manuscripts and once it is finished I can just submit. In case, I have to submit to another journal it is really just a button click instead of an afternoon of reformatting.

Andreas Frutiger
Researcher & Ex MS Word user
Use this template