Example of International Journal of Grid and Utility Computing format
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Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format
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Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing format Example of International Journal of Grid and Utility Computing 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

International Journal of Grid and Utility Computing — Template for authors

Categories Rank Trend in last 3 yrs
Management Information Systems #59 of 114 down down by 33 ranks
Applied Mathematics #297 of 548 down down by 173 ranks
Computer Science Applications #435 of 693 down down by 195 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 199 Published Papers | 345 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 20/06/2020
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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.

1.7

26% from 2019

CiteRatio for International Journal of Grid and Utility Computing from 2016 - 2020
Year Value
2020 1.7
2019 2.3
2018 3.0
2017 2.7
2016 2.5
graph view Graph view
table view Table view

0.187

41% from 2019

SJR for International Journal of Grid and Utility Computing from 2016 - 2020
Year Value
2020 0.187
2019 0.316
2018 0.462
2017 0.341
2016 0.221
graph view Graph view
table view Table view

0.59

54% from 2019

SNIP for International Journal of Grid and Utility Computing from 2016 - 2020
Year Value
2020 0.59
2019 1.278
2018 1.438
2017 1.193
2016 0.649
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 26% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 41% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 54% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Grid and Utility Computing

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Inderscience Publishers

International Journal of Grid and Utility Computing

IJGUC addresses grid and utility computing which represent fundamental paradigms for next-generation parallel and distributed computing systems, enabling distant collaboration, resource discovery/sharing, data-intensive applicative infrastructures and high-throughput environme...... Read More

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Last updated on
20 Jun 2020
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ISSN
1741-847X
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Acceptance Rate
Not Provided
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Frequency
Not Provided
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Open Access
Not Provided
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1504/IJGUC.2015.066397
FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids
Saeed Javanmardi1, Mohammad Shojafar2, Shahdad Shariatmadari3, Sima Sarv Ahrabi4

Abstract:

A P2P grid is a special case of grid networks in which P2P communications are used for communication between nodes and trust management. This technology allows creation of a network with greater distribution and scalability. Semantic grids have appeared as an expansion of grid networks in which rich resource metadata are reve... A P2P grid is a special case of grid networks in which P2P communications are used for communication between nodes and trust management. This technology allows creation of a network with greater distribution and scalability. Semantic grids have appeared as an expansion of grid networks in which rich resource metadata are revealed and clearly handled. In a semantic P2P grid, nodes are clustered into different groups based on the semantic similarities between their services. This paper proposes a reputation model for trust management in a semantic P2P grid. We use fuzzy theory, in a trust overlay network named FR TRUST that models the network structure and the storage of reputation information. We present a reputation collection and computation system for semantic P2P grids. The system uses fuzzy theory to compute a peer trust level, which can be either: low, medium, or high. Experimental results demonstrate that FR TRUST combines desirable good computational complexity with high-ranking accuracy. read more read less

Topics:

Trust management (information system) (69%)69% related to the paper, Semantic grid (68%)68% related to the paper, Computational trust (64%)64% related to the paper, Grid (59%)59% related to the paper, Overlay network (54%)54% related to the paper
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96 Citations
Journal Article DOI: 10.1504/IJGUC.2014.060199
Deadline constraint heuristic-based genetic algorithm for workflow scheduling in cloud
Amandeep Verma1, Sakshi Kaushal1

Abstract:

Task scheduling and resource allocation are the key challenges of cloud computing. Compared with grid environment, data transfer is a big overhead for cloud workflows. So, the cost arising from data transfers between resources as well as execution costs must also be taken into account during scheduling based upon user's Quali... Task scheduling and resource allocation are the key challenges of cloud computing. Compared with grid environment, data transfer is a big overhead for cloud workflows. So, the cost arising from data transfers between resources as well as execution costs must also be taken into account during scheduling based upon user's Quality of Service QoS constraints. In this paper, we present Deadline Constrained Heuristic based Genetic Algorithms HGAs to schedule applications to cloud resources that minimise the execution cost while meeting the deadline for delivering the result. Each workflow's task is assigned priority using bottom-level b-level and top-level t-level. To increase the population diversity, these priorities are then used to create the initial population of HGAs. The proposed algorithms are simulated and evaluated with synthetic workflows based on realistic workflows. The simulation results show that our proposed algorithms have a promising performance as compared to Standard Genetic Algorithm SGA. read more read less

Topics:

Earliest deadline first scheduling (65%)65% related to the paper, Dynamic priority scheduling (64%)64% related to the paper, Workflow management system (57%)57% related to the paper, Cloud computing (56%)56% related to the paper, Scheduling (computing) (53%)53% related to the paper
71 Citations
Journal Article DOI: 10.1504/IJGUC.2011.040600
Goodput and PDR analysis of AODV, OLSR and DYMO protocols for vehicular networks using CAVENET
Evjola Spaho1, Gjergji Mino1, Leonard Barolli1, Fatos Xhafa2

Abstract:

A Vehicular Ad-Hoc Network (VANET) is a form of Mobile Ad-Hoc Network (MANET), which enables communication between vehicles and nearby roadside infrastructure through a wireless sensing device installed in vehicles. In VANETs and MANETs, the topology of network changes very often, therefore implementation of efficient routing... A Vehicular Ad-Hoc Network (VANET) is a form of Mobile Ad-Hoc Network (MANET), which enables communication between vehicles and nearby roadside infrastructure through a wireless sensing device installed in vehicles. In VANETs and MANETs, the topology of network changes very often, therefore implementation of efficient routing protocols is very important problem. In VANETs, the mobility pattern of nodes is restricted along roads and is affected by movement of neighbour nodes. In this paper, we present a simulation system for VANET called CAVENET. In CAVENET, the mobility patterns of nodes are generated by one-dimensional cellular automaton. We implemented three routing protocols on CAVENET (AODV, OLSR and DYMO) and investigated their performance. We considered as evaluation metrics for simulation goodput and Packet Delivery Ratio (PDR). The simulation results have shown that DYMO protocol has better performance than AODV and OLSR protocols. read more read less

Topics:

Optimized Link State Routing Protocol (58%)58% related to the paper, Routing protocol (55%)55% related to the paper, Wireless ad hoc network (54%)54% related to the paper, Goodput (53%)53% related to the paper, Vehicular ad hoc network (51%)51% related to the paper
61 Citations
Journal Article DOI: 10.1504/IJGUC.2019.10020511
Evaluation prediction techniques to achievement an optimal biomedical analysis
Samaher Al-Janabi1, Muhammed Abaid Mahdi1

Abstract:

Intelligent analysis of prediction data mining techniques is widely used to support optimising future decision-making in many different fields including healthcare and medical diagnoses. These techniques include Chi-squared Automatic Interaction Detection (CHAID), Exchange Chi-squared Automatic Interaction Detection (ECHAID),... Intelligent analysis of prediction data mining techniques is widely used to support optimising future decision-making in many different fields including healthcare and medical diagnoses. These techniques include Chi-squared Automatic Interaction Detection (CHAID), Exchange Chi-squared Automatic Interaction Detection (ECHAID), Random Forest Regression and Classification (RFRC), Multivariate Adaptive Regression Splines (MARS), and Boosted Tree Classifiers and Regression (BTCR). This paper presents the general properties, summary, advantages, and disadvantages of each one. Most importantly, the analysis depends upon the parameters that have been used for building a prediction model for each one. Besides, classifying those techniques according to their main and secondary parameters is another task. Furthermore, the presence and absence of parameters are also compared in order to identify the better sharing of those parameters among the techniques. As a result, the techniques with no randomness and mathematical basis are the most powerful and fast compared with the others. read more read less

Topics:

Multivariate adaptive regression splines (58%)58% related to the paper, CHAID (56%)56% related to the paper, Random forest (52%)52% related to the paper
52 Citations
Journal Article DOI: 10.1504/IJGUC.2005.007058
An adaptive meta-scheduler for data-intensive applications
Hai Jin1, Xuanhua Shi1, Weizhong Qiang1, Deqing Zou1

Abstract:

In data-intensive applications, such as high-energy physics, bio-informatics, we encounter applications involving numerous jobs that access and generate large datasets. Effective scheduling of such applications is a challenge, due to the need to consider for both computational resources and data storage resources. In this pap... In data-intensive applications, such as high-energy physics, bio-informatics, we encounter applications involving numerous jobs that access and generate large datasets. Effective scheduling of such applications is a challenge, due to the need to consider for both computational resources and data storage resources. In this paper, we describe an adaptive scheduling model that considers availability of computational, storage and network resources. Based on this model we implement a scheduler used in our campus grid. The results achieved by our scheduler have been analysed by comparing with greedy algorithm that is widely used in computational grids and some data grids. read more read less

Topics:

Scheduling (computing) (65%)65% related to the paper, Data grid (58%)58% related to the paper, Grid (57%)57% related to the paper, Grid computing (53%)53% related to the paper, Greedy algorithm (52%)52% related to the paper
44 Citations
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Frequently asked questions

1. Can I write International Journal of Grid and Utility 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 International Journal of Grid and Utility Computing guidelines and auto format it.

2. Do you follow the International Journal of Grid and Utility Computing guidelines?

Yes, the template is compliant with the International Journal of Grid and Utility 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 International Journal of Grid and Utility 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 International Journal of Grid and Utility Computing citation style.

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5. Can I use a manuscript in International Journal of Grid and Utility 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 International Journal of Grid and Utility Computing that you can download at the end.

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12. Is International Journal of Grid and Utility Computing's impact factor high enough that I should try publishing my article there?

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Grid and Utility 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 International Journal of Grid and Utility 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 International Journal of Grid and Utility Computing?

The 5 most common citation types in order of usage for International Journal of Grid and Utility 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 International Journal of Grid and Utility Computing?

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16. Can I download International Journal of Grid and Utility 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 International Journal of Grid and Utility Computing Endnote style according to Elsevier guidelines.

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