The Journal of Grid Computing explores an emerging technology that enables large-scale resource sharing problem solving within distributed, loosely coordinated groups sometimes termed "virtual organizations". Coverage includes protocols, security, scaling and more.
Although the advantages of this technology for classes of applications have been acknowledged, research in a variety of disciplines is needed to broaden the applicability and scope of the current body of knowledge. This journal fills the need, covering such topics as protocols, middleware, and services, security, discovery, sharing, scaling, and more.
Discussion extends to advanced technologies for collaborative work, information sharing and problem solving.
- Explores emerging technology that enables large-scale resource sharing problem solving within loosely coordinated groups sometimes termed "virtual organizations"
- Coverage includes protocols, security, scaling and more
- Discusses advanced technologies for collaborative work, information sharing and problem solving
- Peter Kacsuk,
- Tamas Kiss
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
- 2.095 (2019)
- Impact factor
- 2.872 (2019)
- Five year impact factor
- 82 days
- Submission to first decision
- 325 days
- Submission to acceptance
- 25,482 (2020)
Improved Butterfly Optimization Algorithm for Data Placement and Scheduling in Edge Computing Environments
Authors (first, second and last of 7)
Call for Papers: Decision Support Systems and Intelligent Algorithms for Industrial IoT and Big Data (Submission Deadline October 10th 2021)
This topical collection aims to offer a systematic and most up-to-date overview, latest research trends, advanced research and mixed method approaches of this new research field. It aims to provide innovative Decision Support approaches, models, systems and algorithms to effectively support decision making in IIoT environments. It also includes platforms, applications and services for IIoT and Big Data, such as Industry 4.0, supply chain and smart manufacturing. The user and organizational adoption are also amongst our interests. It will provide a leading forum for disseminating the latest results of research, development, and applications in the area of Decision Support Systems and Algorithms (DSS) in IIoT and Big Data Environments. Advanced IIoT and its applications/services in Industry 4.0, integrated systems and smart algorithms are largely welcome. We select some top papers from IoTBDS 2021 http://iotbds.org/, COMPLEXIS 2021 http://www.complexis.org/ and IIoTBDSC 2021 http://iiotbdsc.com/, which require an extensive improvement prior submission. We also welcome a small number of high-quality paper submissions that are not presented at these conferences.
Guest Editors: Prof. Victor Chang (Lead Guest Editor), Prof. Víctor Méndez Muñoz, Prof. Reinhold Behringer
Submission Deadline: October 10th, 2021
Download full details here: Decision Support Systems and Intelligent Algorithms for Industrial IoT and Big Data
If your institution has a Read and Publish (Springer Compact) agreement, you may publish your article open access - at no cost to you - in more than 1,850 Springer hybrid journals, including the Journal of Grid Computing. In addition, you can enjoy full access to all Springer subscription journal content...
This Special Issue encourages submissions that address resource orchestration issues in the Cloud-to-Things landscape and propose experimental solutions, case studies, deployed systems and best practices in that field...
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
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