Example of IEEE Transactions on Services Computing format
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Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format
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Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format Example of IEEE Transactions on Services Computing format
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This content is only for preview purposes. The original open access content can be found here.
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IEEE Transactions on Services Computing — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Hardware and Architecture #6 of 157 up up by 3 ranks
Information Systems and Management #5 of 125 up up by 2 ranks
Computer Science Applications #27 of 693 up up by 5 ranks
Computer Networks and Communications #14 of 334 up up by 4 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 295 Published Papers | 3886 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 04/06/2020
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Related Journals

open access Open Access
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Springer

Quality:  
High
CiteRatio: 8.6
SJR: 1.031
SNIP: 3.478
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IEEE

Quality:  
High
CiteRatio: 10.8
SJR: 1.075
SNIP: 2.756
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Elsevier

Quality:  
High
CiteRatio: 14.5
SJR: 1.145
SNIP: 2.637
open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 8.7
SJR: 0.687
SNIP: 1.553

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.

5.823

2% from 2018

Impact factor for IEEE Transactions on Services Computing from 2016 - 2019
Year Value
2019 5.823
2018 5.707
2017 4.418
2016 3.52
graph view Graph view
table view Table view

13.2

1% from 2019

CiteRatio for IEEE Transactions on Services Computing from 2016 - 2020
Year Value
2020 13.2
2019 13.3
2018 10.9
2017 8.2
2016 7.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 2% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 1% 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.

1.207

13% from 2019

SJR for IEEE Transactions on Services Computing from 2016 - 2020
Year Value
2020 1.207
2019 1.382
2018 0.973
2017 0.87
2016 0.819
graph view Graph view
table view Table view

3.106

2% from 2019

SNIP for IEEE Transactions on Services Computing from 2016 - 2020
Year Value
2020 3.106
2019 3.175
2018 3.203
2017 2.714
2016 2.838
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 13% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 2% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Transactions on Services Computing

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IEEE

IEEE Transactions on Services Computing

Approved by publishing and review experts on SciSpace, this template is built as per for IEEE Transactions on Services Computing formatting guidelines as mentioned in IEEE author instructions. The current version was created on 04 Jun 2020 and has been used by 181 authors to write and format their manuscripts to this journal.

Computer Science

i
Last updated on
04 Jun 2020
i
ISSN
1939-1374
i
Impact Factor
Very High - 4.12
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
IEEEtran
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Citation Type
Numbered
[25]
i
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/TSC.2010.52
QoS-Aware Web Service Recommendation by Collaborative Filtering
Zibin Zheng1, Hao Ma1, Michael R. Lyu1, Irwin King1

Abstract:

With increasing presence and adoption of Web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of Web services. In this paper, we present a collaborative filtering approach for predicting QoS values of Web services and making Web service recommendation ... With increasing presence and adoption of Web services on the World Wide Web, Quality-of-Service (QoS) is becoming important for describing nonfunctional characteristics of Web services. In this paper, we present a collaborative filtering approach for predicting QoS values of Web services and making Web service recommendation by taking advantages of past usage experiences of service users. We first propose a user-collaborative mechanism for past Web service QoS information collection from different service users. Then, based on the collected QoS data, a collaborative filtering approach is designed to predict Web service QoS values. Finally, a prototype called WSRec is implemented by Java language and deployed to the Internet for conducting real-world experiments. To study the QoS value prediction accuracy of our approach, 1.5 millions Web service invocation results are collected from 150 service users in 24 countries on 100 real-world Web services in 22 countries. The experimental results show that our algorithm achieves better prediction accuracy than other approaches. Our Web service QoS data set is publicly released for future research. read more read less

Topics:

Web service (71%)71% related to the paper, Mobile QoS (68%)68% related to the paper, Web modeling (67%)67% related to the paper, WS-Policy (67%)67% related to the paper, Web navigation (66%)66% related to the paper
741 Citations
open accessOpen access Journal Article DOI: 10.1109/TSC.2011.24
Toward Secure and Dependable Storage Services in Cloud Computing
Cong Wang1, Qian Wang1, Kui Ren1, Ning Cao, Wenjing Lou

Abstract:

Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users' physical possession of their outsourced data, which inevitably poses new secu... Cloud storage enables users to remotely store their data and enjoy the on-demand high quality cloud applications without the burden of local hardware and software management. Though the benefits are clear, such a service is also relinquishing users' physical possession of their outsourced data, which inevitably poses new security risks toward the correctness of the data in cloud. In order to address this new problem and further achieve a secure and dependable cloud storage service, we propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks. read more read less

Topics:

Cloud storage (71%)71% related to the paper, Cloud computing (65%)65% related to the paper, Cloud computing security (64%)64% related to the paper, Distributed data store (55%)55% related to the paper, Data integrity (54%)54% related to the paper
View PDF
678 Citations
Journal Article DOI: 10.1109/TSC.2011.7
Optimization of Resource Provisioning Cost in Cloud Computing
Sivadon Chaisiri1, Bu-Sung Lee1, Dusit Niyato1

Abstract:

In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, namely reservation and on-demand plans. In general, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by on-demand plan, since cloud consumer has to pay to provider... In cloud computing, cloud providers can offer cloud consumers two provisioning plans for computing resources, namely reservation and on-demand plans. In general, cost of utilizing computing resources provisioned by reservation plan is cheaper than that provisioned by on-demand plan, since cloud consumer has to pay to provider in advance. With the reservation plan, the consumer can reduce the total resource provisioning cost. However, the best advance reservation of resources is difficult to be achieved due to uncertainty of consumer's future demand and providers' resource prices. To address this problem, an optimal cloud resource provisioning (OCRP) algorithm is proposed by formulating a stochastic programming model. The OCRP algorithm can provision computing resources for being used in multiple provisioning stages as well as a long-term plan, e.g., four stages in a quarter plan and twelve stages in a yearly plan. The demand and price uncertainty is considered in OCRP. In this paper, different approaches to obtain the solution of the OCRP algorithm are considered including deterministic equivalent formulation, sample-average approximation, and Benders decomposition. Numerical studies are extensively performed in which the results clearly show that with the OCRP algorithm, cloud consumer can successfully minimize total cost of resource provisioning in cloud computing environments. read more read less

Topics:

Provisioning (60%)60% related to the paper, Cloud computing (59%)59% related to the paper, Reservation (50%)50% related to the paper
641 Citations
open accessOpen access Journal Article DOI: 10.1109/TSC.2010.3
Interacting with the SOA-Based Internet of Things: Discovery, Query, Selection, and On-Demand Provisioning of Web Services
Dominique Guinard1, Vlad Trifa1, Stamatis Karnouskos, Patrik Spiess, Domnic Savio

Abstract:

The increasing usage of smart embedded devices in business blurs the line between the virtual and real worlds. This creates new opportunities to build applications that better integrate real-time state of the physical world, and hence, provides enterprise services that are highly dynamic, more diverse, and efficient. Service-... The increasing usage of smart embedded devices in business blurs the line between the virtual and real worlds. This creates new opportunities to build applications that better integrate real-time state of the physical world, and hence, provides enterprise services that are highly dynamic, more diverse, and efficient. Service-Oriented Architecture (SOA) approaches traditionally used to couple functionality of heavyweight corporate IT systems, are becoming applicable to embedded real-world devices, i.e., objects of the physical world that feature embedded processing and communication. In such infrastructures, composed of large numbers of networked, resource-limited devices, the discovery of services and on-demand provisioning of missing functionality is a significant challenge. We propose a process and a suitable system architecture that enables developers and business process designers to dynamically query, select, and use running instances of real-world services (i.e., services running on physical devices) or even deploy new ones on-demand, all in the context of composite, real-world business applications. read more read less

Topics:

Services computing (66%)66% related to the paper, Service-oriented architecture (61%)61% related to the paper, Service discovery (58%)58% related to the paper, Web of Things (56%)56% related to the paper, Web service (54%)54% related to the paper
View PDF
637 Citations
Journal Article DOI: 10.1109/TSC.2011.59
Collaborative Web Service QoS Prediction via Neighborhood Integrated Matrix Factorization
Zibin Zheng1, Hao Ma2, Michael R. Lyu1, Irwin King1

Abstract:

With the increasing presence and adoption of web services on the World Wide Web, the demand of efficient web service quality evaluation approaches is becoming unprecedentedly strong. To avoid the expensive and time-consuming web service invocations, this paper proposes a collaborative quality-of-service (QoS) prediction appro... With the increasing presence and adoption of web services on the World Wide Web, the demand of efficient web service quality evaluation approaches is becoming unprecedentedly strong. To avoid the expensive and time-consuming web service invocations, this paper proposes a collaborative quality-of-service (QoS) prediction approach for web services by taking advantages of the past web service usage experiences of service users. We first apply the concept of user-collaboration for the web service QoS information sharing. Then, based on the collected QoS data, a neighborhood-integrated approach is designed for personalized web service QoS value prediction. To validate our approach, large-scale real-world experiments are conducted, which include 1,974,675 web service invocations from 339 service users on 5,825 real-world web services. The comprehensive experimental studies show that our proposed approach achieves higher prediction accuracy than other approaches. The public release of our web service QoS data set provides valuable real-world data for future research. read more read less

Topics:

Web service (75%)75% related to the paper, Web modeling (71%)71% related to the paper, WS-Policy (69%)69% related to the paper, Data Web (68%)68% related to the paper, Web standards (67%)67% related to the paper
408 Citations
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IEEE Transactions on Services Computing format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Transactions on Services Computing 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 Services Computing guidelines and auto format it.

2. Do you follow the IEEE Transactions on Services Computing guidelines?

Yes, the template is compliant with the IEEE Transactions on Services Computing 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 Services Computing?

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 Services Computing citation style.

4. Can I use the IEEE Transactions on Services Computing 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 Services Computing.

5. Can I use a manuscript in IEEE Transactions on Services Computing 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 Services Computing that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Services Computing?

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 Services Computing.

7. Where can I find the template for the IEEE Transactions on Services Computing?

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 Services Computing'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 IEEE Transactions on Services Computing'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. IEEE Transactions on Services Computing an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Services Computing 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 IEEE Transactions on Services Computing?

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 IEEE Transactions on Services Computing?”

11. What is the output that I would get after using IEEE Transactions on Services Computing?

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

12. Is IEEE Transactions on Services Computing'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 Services Computing?

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 Services Computing. 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 Services Computing?

The 5 most common citation types in order of usage for IEEE Transactions on Services Computing 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 Services Computing?

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

16. Can I download IEEE Transactions on Services Computing 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 Services Computing Endnote style according to Elsevier guidelines.

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