Special Issue "Future Computing for Real Time Intelligent Systems"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 31 December 2017

Special Issue Editors

Guest Editor
Assoc. Prof. Simon James Fong

Department of Computer and Information Science, Data Analytics and Collaborative Computing Laboratory, University of Macau, Taipa, Macau SAR
Website1 | Website2 | E-Mail
Interests: data stream mining; big data; advanced analytics; bio-inspired optimization algorithms and applications; business intelligence; e-commerce; biomedical applications; wireless sensor networks
Guest Editor
Prof. Sabah Mohammed

Department of Computer Science, Lakehead University, Ontario, Canada
Website | E-Mail
Interests: Machine Learning; Web Intelligence; Big Data; IIoT; Health Informatics
Guest Editor
Prof. Jinan Fiaidhi

Department of Computer Science, Lakehead University, Ontario, Canada
Website | E-Mail
Phone: 807 3438224
Interests: Collaborative Learning; Web Mining; Calm Computing; Cloud Computing; IoT

Special Issue Information

Dear Colleagues,

Real-Time Computing covers a broad spectrum of the intensively developing area of low-latency priority-driven system responsiveness under certain time constrains, as well as essential and decisive human-computer and/or machine-to-machine interactions constantly using incoming data streams. Research on real-time intelligent systems is of a multi-disciplinary nature, exploiting concepts from areas as diverse as signal processing technologies, computational intelligence, location systems, data processing, digital document processing, image recognition, and embedded system design. To accomplish the goals of its real-time performance, systematic analysis is carried out when systems are working.

Over the past few decades, real-time intelligent computing has radically transformed human lifestyles. In today's competitive and highly dynamic environment, analyzing data in real time is a must to understand, in detail, the insights from underlying behavioral patterns, as well as how systems are processing data, so to reason outputs and anticipate trends in intelligent computing, have become critical.

To leverage the full potential of this opportunity, to build complex real-time systems, intense research is required and this conference will serve as one such platform for ongoing research in real time intelligent systems.

The objective of this Special Issue is to compile and publish novel ideas relating to the areas of real-time systems, especially on new applications, data stream mining, and related big data analytic technology. We would like to solicit contributions from researchers from different disciplines, industrial practitioners, government agencies, and academia to discuss new ideas, research questions, recent results, and future challenges in real time intelligent systems. The best papers from the conference are solicited, which are theoretically grounded, methodologically sound, from academia and industry, which address a variety of aspects and innovations related to real-time computing systems.

Assoc. Prof. Simon James Fong
Prof. Sabah Mohammed
Prof. Jinan Fiaidhi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 550 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Streaming data, streaming engines
  • Big data systems and applications for high-velocity data
  • Analysis in advanced domains such as energy, sensors, etc.
  • Artificial intelligence
  • Broadband intelligence
  • Cloud computing and intelligence
  • Collaborative intelligence
  • Crowdsourcing and crowd intelligence
  • Data capture in real-time
  • Intelligent database systems
  • Data mining
  • Intelligent data analysis
  • OLAP for real-time decision support
  • Data quality and cleansing
  • Intelligent fuzzy systems
  • Event-driven analytics
  • Visualizing real-time data and information
  • Intelligent soft computing
  • Privacy and security in intelligence
  • Architectures for intelligence
  • Internet of things
  • Intelligent robotic systems
  • Smart services and platforms
  • Intelligent transportation systems
  • Mobile smart systems
  • Trace-based intelligent real-time services (eye-tracking, image tracking)
  • Real-time intelligent alert systems
  • Machine translation in real time
  • Multilingual information access
  • Multiagent intelligent systems
  • Intelligent information systems
  • Adaptive vision algorithms
  • Real-time intelligent network solutions
  • Real-time distributed coding
  • Real-time modelling user’s information needs
  • Real-time noise removal systems
  • Real-time intelligent communication
  • Real-time remote access systems
  • Decision support systems in real time
  • Real-time multiprocessor systems

Published Papers (1 paper)

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Research

Open AccessArticle A Novel Hybrid-Copy Algorithm for Live Migration of Virtual Machine
Future Internet 2017, 9(3), 37; doi:10.3390/fi9030037
Received: 14 June 2017 / Revised: 9 July 2017 / Accepted: 13 July 2017 / Published: 18 July 2017
PDF Full-text (1237 KB) | HTML Full-text | XML Full-text
Abstract
Live migration of virtual machines is an important approach for dynamic resource scheduling in cloud environment. The hybrid-copy algorithm is an excellent algorithm that combines the pre-copy algorithm with the post-copy algorithm to remedy the defects of the pre-copy algorithm and the post-copy
[...] Read more.
Live migration of virtual machines is an important approach for dynamic resource scheduling in cloud environment. The hybrid-copy algorithm is an excellent algorithm that combines the pre-copy algorithm with the post-copy algorithm to remedy the defects of the pre-copy algorithm and the post-copy algorithm. Currently, the hybrid-copy algorithm only copies all memory pages once in advance. In a write-intensive workload, copy memory pages once may be enough. However, more iterative copy rounds can significantly reduce the page faults in a read-intensive workload. In this paper, we propose a new parameter to decide the appropriate time to stop the iterative copy phase based on real-time situation. We use a Markov model to forecast the memory access pattern. Based on the predicted results and the analysis of the actual situation, the memory page transfer order would be adjusted to reduce the invalid transfers. The novel hybrid-copy algorithm is implemented on the Xen platform. The experimental results demonstrate that our mechanism has good performance both on read-intensive workloads and write-intensive workloads. Full article
(This article belongs to the Special Issue Future Computing for Real Time Intelligent Systems)
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