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EAI Endorsed Transactions on Scalable Information Systems

Issue 8, 2016
Editor(s)-in-Chief: Xiaohua Jia and Hua Wang

  • Welcome message from the Editor-in-Chief and Co-Editor-in-Chief

    Appears in:
    sis 16(8): e1

    Authors:
    Xiaohua Jia, Hua Wang

    Abstract:
    more »

  • Exploring Social Relationships in Text Streams

    Appears in:
    sis 16(8): e2

    Author:
    Ye Wang

    Abstract:
    Mining social relationships offers us an opportunity to gain insights from non-obvious relationships between individuals. Its applications can be seen in various scenarios ranging from market planning, fraud detection to the protection of national security. Most raw information related to social re…Mining social relationships offers us an opportunity to gain insights from non-obvious relationships between individuals. Its applications can be seen in various scenarios ranging from market planning, fraud detection to the protection of national security. Most raw information related to social relationships are continuously generated by social networks in a form of text, for the reason that it has the lowest storage consumption while still possesses powerful expression abilities. However, when these continuous texts are aggregated together forming enormous text streams, applying existing data mining approaches will encounter efficiency or usability issues, either due to their overlook of the dynamic property of streams or the inapplicability of traditional store-then-process paradigm. In this paper, we specify the research gap and present a review report for dynamic text streams.
     more »

  • Cooperative Data Caching for Cloud Data Servers

    Appears in:
    sis 16(8): e3

    Authors:
    Mingcong Yang, Kai Guo, Yongbing Zhang

    Abstract:
    Thanks to the advance of cloud computing technologies, users can access the data stored at cloud data centers at any time and from any where. However, the data centers are usually sparsely distributed over the Internet and are far away from end users. In this paper, we consider to construct a cache…Thanks to the advance of cloud computing technologies, users can access the data stored at cloud data centers at any time and from any where. However, the data centers are usually sparsely distributed over the Internet and are far away from end users. In this paper, we consider to construct a cache network by a large number of cache nodes close to the end users in order to minimize the data access delay.We firstly formulate the problem of placing the replicas of data items to cache nodes as a mixed integer programming (MIP) problem. Then, we proposed an efficient heuristic algorithm that allocates at least one replica of each data item in the cache network and attempt to allocate more data items so as to minimize the total data access cost. The simulation results show that our proposed algorithm behaves much better than a well-known LRU algorithm and the computation complexity is limited.
     more »

  • The Australian PCEHR System: Ensuring Privacy and Security through an Improved Access Control Mechanism

    Appears in:
    sis 16(8): e4

    Authors:
    P. Vimalachandran, H. Wang, Y. Zhang, G. Zhuo

    Abstract:
    An Electronic Health Record (EHR) is designed to store diverse data accurately from a range of healthcare providers and to capture the status of a patient by a range of healthcare providers across time. Realising the numerous benefits of the system, EHR adoption is growing globally and many count…An Electronic Health Record (EHR) is designed to store diverse data accurately from a range of healthcare providers and
    to capture the status of a patient by a range of healthcare providers across time. Realising the numerous benefits of the
    system, EHR adoption is growing globally and many countries invest heavily in electronic health systems. In Australia, the
    Government invested $467 million to build key components of the Personally Controlled Electronic Health Record (PCEHR) system in July 2012. However, in the last three years, the uptake from individuals and healthcare providers has not been satisfactory. Unauthorised access of the PCEHR was one of the major barriers. We propose an improved access control model for the PCEHR system to resolve the unauthorised access issue. We discuss the unauthorised access issue with real examples and present a potential solution to overcome the issue to make the PCEHR system a success in Australia.
     more »

  • A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction

    Appears in:
    sis 16(8): e5

    Authors:
    Qingguo Zhou, Huaming Chen, Hong Zhao, Gaofeng Zhang, Jianming Yong, Jun Shen

    Abstract:
    Water resource problems currently are much more important in proper planning especially for arid regions, such as Gansu in China. For agricultural and industrial activities, prediction of groundwater status is critical. As a main branch of neural network, shallow artificial neural network models ha…Water resource problems currently are much more important in proper planning especially for arid regions, such as Gansu in China. For agricultural and industrial activities, prediction of groundwater status is critical. As a main branch of neural network, shallow artificial neural network models have been deployed in prediction areas such as groundwater and rainfall since late 1980s. In this paper, artificial neural network (ANN) model within a newly proposed algorithm has been developed for groundwater status forecasting. Having considered previous algorithms for ANN model in time series forecast, this new Monte Carlo based algorithm demonstrated a good result. The experiments of this ANN model in predicting groundwater status were conducted on the Heihe River area dataset, which was curated on the collected data. When compared with its original physical based model, this ANN model was able to achieve a more stable and accurate result. A comparison and an analysis of this ANN model were also presented in this paper.
     more »

  • wHealth - Transforming Telehealth Services

    Appears in:
    sis 16(8): e6

    Authors:
    Rajib Rana, Margee Hume, John Reilly, Sabe Sabesan, Jeffrey Soar

    Abstract:
    A worldwide increase in proportions of older people in the population poses the challenge of managing their increasing healthcare needs within limited resources. To achieve this many countries are interested in adopting telehealth technology. Several shortcomings of state-of-the-art telehealth tech…A worldwide increase in proportions of older people in the population poses the challenge of managing their increasing healthcare needs within limited resources. To achieve this many countries are interested in adopting telehealth technology. Several shortcomings of state-of-the-art telehealth technology constrain widespread adoption of telehealth services. We present an ensemble-sensing framework - wHealth (short form of wireless health) for effective delivery of telehealth services. It extracts personal health information using sensors embedded in everyday devices and allows effective and seamless communication between patients and clinicians. Due to the non stigmatizing design, ease of maintenance, simplistic interaction and seamless intervention, our wHealth platform has the potential to enable widespread adoption of
    telehealth services for managing elderly healthcare. We discuss the key barriers and potential solutions to make the wHealth platform a reality.
     more »

Scope

As the data volumes continue to increase and the ways of information dispersion across the globe continue to diversify, new scalable methods and structures are needed for efficiently processing those distributed and autonomous data. Grid computing, P2P technology, distributed information retrieval …

As the data volumes continue to increase and the ways of information dispersion across the globe continue to diversify, new scalable methods and structures are needed for efficiently processing those distributed and autonomous data. Grid computing, P2P technology, distributed information retrieval technology, and networking technology all must be merged to address the scalability concern.

more »

Topics

The scope of the journal includes:

  • Scalable distributed information systems
  • Scalable grid information systems
  • Parallel information processing and systems
  • Web information searching and retrieval
  • Data mining
  • Content delivery networks (CDN)
  • VLDB
  • P2P systems
  • Scalable mobile…

The scope of the journal includes:

  • Scalable distributed information systems
  • Scalable grid information systems
  • Parallel information processing and systems
  • Web information searching and retrieval
  • Data mining
  • Content delivery networks (CDN)
  • VLDB
  • P2P systems
  • Scalable mobile and wireless database systems
  • Large scale sensor network systems
  • Index compression methods
  • Architectures for scalability
  • Scalable information system applications
  • Evaluation metrics for scalability
  • Information security
more »

Indexing

more »

Special Issues

Call for Papers: Special issue on: Real-time image information processing with deep neural networks and data mining technologies (Manuscript submission deadline: 2022-02-28; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-…

Call for Papers: Special issue on: Real-time image information processing with deep neural networks and data mining technologies (Manuscript submission deadline: 2022-02-28; Notification of acceptance: 2022-04-15; Submission of final revised paper: 2022-05-15; Publication of special issue (tentative): 2022-06-15)

Guest Editor: Dr. Prof. Hang Li (Northeastern University, China) Guest Editor: Dr. Prof. Jochen Schiewe (HafenCity Universität Hamburg, Germany)

more »

Editorial Board

  • Editors-in-Chief
  • Hua Wang, Victoria University, Australia
  • Xiaohua Jia, City University of Hong Kong
  • Editorial board
  • Manik Sharma, DAV University, India
  • Ajay Kattepur (Tata Consultancy Services)
  • Aniello Castiglione (University of Salerno)
  • Chang Choi (Chosun University)
  • Cho-…
  • Editors-in-Chief
  • Hua Wang, Victoria University, Australia
  • Xiaohua Jia, City University of Hong Kong
  • Editorial board
  • Manik Sharma, DAV University, India
  • Ajay Kattepur (Tata Consultancy Services)
  • Aniello Castiglione (University of Salerno)
  • Chang Choi (Chosun University)
  • Cho-Li Wang (University of Hong Kong)
  • Daniel S. Katz (University of Chicago)
  • Fabrizio Silvestri (ISTI – CNR, Italy)
  • Hamed Taherdoost (Hamta Business Solution Snd)
  • Heng Tao Shen (University of Queensland)
  • Houbing Song (Embry-Riddle Aeronautical University)
  • José Manuel Machado (University of Minho, Portugal)
  • Jose Merseguer (Universidad de Zaragoza)
  • Jie Li (University of Tsukuba)
  • Lin Yun (Harbin Engineering University)
  • Phan Cong Vinh (Nguyen Tat Thanh University)
  • Raj Gururajan (University of Southern Queensland)
  • Sherman Chow (Chinese University of Hong Kong)
  • Silva Fábio (University of Minho, Portugal)
  • Steve Beitzel (Telcordia)
  • Tzung-Pei Hong (National University of Kaohsiung, Kaohsing City, Taiwan)
  • Wang-Chien Lee (The Pennsylvania State University)
  • Weili Wu (The University of Texas at Dallas)
  • Xueyan Tang (Nanyang Technological University)
  • Vijayakumar Ponnusamy (SRM University, India)
  • J Amudhavel (KL University, India)
  • Yingshu Li (Georgia State University)
  • Jerry Chun-Wei Lin (Western Norway University of Applied Sciences, Norway)
  • Karolj Skala (Ruđer Bošković Institute, Croatia)
  • Xiao-Zhi Gao (University of Eastern Finland, Finland)
  • Thaier Hayajneh (Fordham University, USA)
  • Chin-Ling Chen (Chaoyang University of Technology, Taiwan)
  • Nuno M. Garcia (Faculty of Sciences, University of Lisbon, Portugal)
  • Arianna D'Ulizia (Consiglio Nazionale delle Ricerche (CNR), Italy)
  • Robertas Damaševičius (Kaunas University of Technology (KTU), Lithuania)
  • Hiep Xuan Huynh (Can Tho University, VietNam)
  • Ji Zhang (University of Southern Queensland, Australia)
  • Xiaohui Tao (University of Southern Queensland, Australia)
  • Ye Wang (National University of Defense Technology, China)
  • Nageswara Rao Moparthi (KL University, India)
  • Shuai Liu (Hunan Normal University, China)
  • Prof Xiaoming Fu (Georg-August-University of Goettingen, Germany)
  • Prof Zhisheng Huang (Vrije University of Amsterdam)
  • Prof Rose Quan (Northumbria University, UK)
  • Prof Shi Dong (Zhoukou Normal University, China)
  • Dr Limei Peng (Kyungpook National University, South Korea)
  • Prof Hui Ma( Victoria University of Wellington, New Zealand)
  • Dr. Venkatesan Subramanian (Indian Institute of Information Technology – Allahabad, India)
  • Dr Pon Harshavardhanan (VIT Bhopal University, India)
  • Dr. Manish Kumar (The Indian Institute of Information Technology, Allahabad, India)
  • Muzammil Hussain, University of Management and Technology, Lahore, Pakistan
  • Michael Bewong, Charles Sturt University, Australia
  • Shabir Ahmad, Gachon University, Korea
  • Vu Nguyen, University of Science, Vietnam
  • Xiaodi Huang, Charles Sturt University, Australia
  • Jianming Yong, University of Southern Queensland, Australia
  • Yogeshwar Vijayakumar Navandar; National Institute of Technology, Indian.
  • Zhengyi Chai, Tiangong University in China, China
  • Chuanlong Wang, Taiyuan Normal University, China
  • Chin-Feng Lee, Chaoyang University of Technology, Taiwan
  • Hsing-Chung Chen (Jack Chen), Asia University, Taiwan
  • Wen-Yang Lin, National University of Kaohsiung, Taiwan
  • Chun-Hao Chen, National Kaohsiung University of Science and Technology, Taiwan
  • Mudasir Mohd, University of Kashmir, India.
  • BalaAnand Muthu, INTI International University, Malaysia.
  • Md Rafiqul Islam, Australian Institute of Higher Education, Australia.
  • Jin Wang, Institute of Applied Physics and Computational Mathematics, China.
  • Chandu Thota, University of Nicosia, Cyprus.
  • Haris M. Khalid, University of Dubai, UAE.
  • Dr. G. Reza Nasiri, Alzahra University, Tehran, Iran.
  • Siuly Siuly, Victoria University, Australia
  • Bishnu Prasad Gautam, Kanazawa Gakuin University, Japan
  • Sivaparthipan C B, Bharathiar University, India
  • Ting-Chia Hsu, National Taiwan Normal University, Taiwan
  • Punitha Palanisamy, Tagore IET, India
  • Lakshmana Kumar R, Tagore IET, India
  • Weiwei Jiang, Beijing University of Posts and Telecommunications, Taiwan
more »

Journal Blurb

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/sis/index

Visit the new journal website to submit and consult our contents: https://publications.eai.eu/index.php/sis/index

more »
Publisher
EAI
ISSN
2032-9407
Volume
3
Published
2016-08-09
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