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Open research in computer science

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Spanning networks and communications to security and cryptology to big data, complexity, and analytics, SpringerOpen and BMC publish one of the leading open access portfolios in computer science. Learn about our journals and the research we publish here on this page. 

Highly-cited recent articles

Design and test bed experiments of server operation system using virtualization technology
18 citations*

According to current researches, much of the electric power is being consumed by the server cooling system at the Data Center. Moreover, the power consumption rate increases when the number of the equipments and servers expands. Thus, the proposed server operation system has been designed to decrease power consumption rate and CO2 emission volume by minimizing the number of these equipments and simplifying the physical composition of the system. Virtualization technology was adopted in both designing and implementation phases to improve resource efficiency of the system. As a result, significant amount has been saved while constructing the server operation system in this paper. System’s performance has been evaluated using a virtual machine prior to its practical use through test bed experiments and the results confirms our expectation that the virtual hardwares will work as efficiently as actual ones.

Jun-Ho Huh and Kyungryong Seo

*As tracked by ISI/Clarivate

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Human-centric Computing and Information Sciences

Data management in cloud environments: NoSQL and NewSQL data stores
101 citations*

Advances in Web technology and the proliferation of mobile devices and sensors connected to the Internet have resulted in immense processing and storage requirements. Cloud computing has emerged as a paradigm that promises to meet these requirements. This work focuses on the storage aspect of cloud computing, specifically on data management in cloud environments. Traditional relational databases were designed in a different hardware and software era and are facing challenges in meeting the performance and scale requirements of Big Data. NoSQL and NewSQL data stores present themselves as alternatives that can handle huge volume of data. Because of the large number and diversity of existing NoSQL and NewSQL solutions, it is difficult to comprehend the domain and even more challenging to choose an appropriate solution for a specific task. Therefore, this paper reviews NoSQL and NewSQL solutions with the objective of: (1) providing a perspective in the field, (2) providing guidance to practitioners and researchers to choose the appropriate data store, and (3) identifying challenges and opportunities in the field. Specifically, the most prominent solutions are compared focusing on data models, querying, scaling, and security related capabilities. Features driving the ability to scale read requests and write requests, or scaling data storage are investigated, in particular partitioning, replication, consistency, and concurrency control. Furthermore, use cases and scenarios in which NoSQL and NewSQL data stores have been used are discussed and the suitability of various solutions for different sets of applications is examined. Consequently, this study has identified challenges in the field, including the immense diversity and inconsistency of terminologies, limited documentation, sparse comparison and benchmarking criteria, and nonexistence of standardized query languages.

Katarina Grolinger, Wilson A Higashino, Abhinav Tiwari, and Miriam AM Capretz
*As tracked by Scopus

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Journal of Cloud Computing

Smart citiesenabling services and applications
7 citations*

The proliferation of “Smart Cities” initiatives around the world is a part of the strategic response by governments to the challenges and opportunities of increasing urbanization and the rise of cities as the nexus of societal development. This JISA Thematic Series presents significant research contributions related to the design and development of Infrastructure, Services and Applications for the Smart City and Urban context.

Edward Curry, Schahram Dustdar, Quan Z. Sheng, and Amit Sheth
*As tracked by Scopus

New Content ItemJournal of Internet Services and Applications

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EPJ Data Science

See how EPJ Data Science brings attention to data science 

Reasons to publish in Human-centric Computing and Information Sciences

Download this handy infographic to see all the reasons why Human-centric Computing and Information Sciences is a great place to publish. 

We've asked a few of our authors about their experience of publishing with us.

What authors say about publishing in our journals:

Fast, transparent, and fair. 
- EPJ Data Science

Easy submission process through online portal.
- Journal of Cloud Computing

Patient support and constant reminder at every phase.
- Journal of Cloud Computing

Quick and relevant.
- Journal of Big Data​​​​​​​

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