EAI Endorsed Transactions on Scalable Information Systems

Issue 6, 2015

Editor(s)-in-Chief: Xiaohua Jia and Hua Wang

Articles
Information

Using Deduplicating Storage for Efficient Disk Image Deployment
Appears in:
sis 15(6): e1

Authors:
Xing Lin, Mike Hibler, Eric Eide, Robert Ricci

Abstract:
Many clouds and network testbeds use disk images to initialize local storage on their compute devices. Large facilities must manage thousands or more images, requiring significant amounts of storage. At the same time, to provide a good user experience, they must be able to deploy those images qui…Many clouds and network testbeds use disk images to initialize local storage on their compute devices. Large facilities must manage thousands or more images, requiring significant amounts of storage. At the same time, to provide a good user experience, they must be able to deploy those images quickly. Driven by our experience in operating the Emulab site at the University of Utah---a long-lived and heavily-used testbed---we have created a new service for efficiently storing and deploying disk images. This service exploits the redundant data found in similar images, using deduplication to greatly reduce the amount of physical storage required. In addition to space savings, our system is also designed for highly efficient image deployment---it integrates with an existing highly-optimized disk image deployment system, Frisbee, without significantly increasing the time required to distribute and install images. In this paper, we explain the design of our system and discuss the trade-offs we made to strike a balance between efficient storage and fast disk image deployment. We also propose a new chunking algorithm, called AFC, which enables fixed-size chunking for deduplicating allocated disk sectors. Experimental results show that our system reduces storage requirements by up to 3x while imposing only a negligible runtime overhead on the end-to-end disk-deployment process.
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Playout Buffer Aware Adaptation Scheme over Multi-client LTE Networks
Appears in:
sis 15(6): e2

Authors:
Yuchen Chen, Guizhong Liu, Qinli Wang

Abstract:
Nowadays, HTTP adaptive streaming (HAS) has become a cost-effective solution in delivering the video content.Different from the one-client HAS, the HAS over multi-client faces many challenges. Due to the lack of the knowledge of the networks, one-client HAS will leads to the low efficiency in util…Nowadays, HTTP adaptive streaming (HAS) has become a cost-effective solution in delivering the video content.Different from the one-client HAS, the HAS over multi-client faces many challenges.
Due to the lack of the knowledge of the networks, one-client HAS will leads to the low efficiency in utilizing the limited bandwidth over the multi-client circumstance. In this paper, a playout buffer aware adaptation scheme over multi-client (PBMC) LTE networks is proposed to improve the performance of HAS.
Firstly, a QoE metric is given that considers both the static quality and the quality smoothness. Secondly, to maximize the QoE, an integer programming problem is formulated. By considering the playout buffer level, the resource requirement, which can guarantee the playout continuity, is formulated as a constraint of the problem. Then, the feasibility of the problem is analyzed. If the problem is infeasible, a method is given to exclude the users as less as possible to obtain the feasibility. When the problem is feasible, a graph model can be constructed based on the resource requirement and the playout buffer level. With the model, the solution can be converted to finding a feasible path with the highest QoE in the graph, which can be solved by employing the dynamic programming. Finally, the simulation results can verify the performance of PBMC in both improving the static quality and guaranteeing the playout continuity.
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Experiences Virtualizing a Large-Scale Test Platform for Multimedia Applications
Appears in:
sis 15(6): e3

Authors:
Robert Lübke, Daniel Schuster, Alexander Schill

Abstract:
Testing is an essential part of software development and many test platforms exist to facilitate the process. Test systems are scarce, because especially scalability tests require many computational resources. In this paper we show that these limitations can be overcome by migrating the test infras…Testing is an essential part of software development and many test platforms exist to facilitate the process. Test systems are scarce, because especially scalability tests require many computational resources. In this paper we show that these limitations can be overcome by migrating the test infrastructure into Cloud environments. Concrete virtualization concepts for large-scale testbeds are discussed using the example of NESSEE - an emulation environment for testing distributed Audio/Video conferencing applications. Furthermore, we describe how the Cloud migration allows us to better integrate the test runs of the platform into the work flow of software development.
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Perceptually-Inspired Computing
Appears in:
sis 15(6): e4

Author:
Ming Lin

Abstract:
Human sensory systems allow individuals to see, hear, touch, and interact with the surrounding physical environment. Understanding human perception and its limit enables us to better exploit the psychophysics of human perceptual systems to design more efficient, adaptive algorithms and develop per…Human sensory systems allow individuals to see, hear, touch, and interact with the surrounding physical environment.
Understanding human perception and its limit enables us to better exploit the psychophysics of human perceptual systems to design more efficient, adaptive algorithms and develop perceptually-inspired computational models.
In this talk, I will survey some of recent efforts on perceptually-inspired computing with applications to crowd simulation and multimodal interaction. In particular, I will present data-driven personality modeling based on the results of user studies, example-guided physics-based sound synthesis using auditory perception, as well as perceptually-inspired simplification for multimodal interaction. These perceptually guided principles can be used to accelerating multi-modal interaction and visual computing, thereby creating more natural human-computer interaction and providing more immersive experiences. I will also present their use in interactive applications for entertainment, such as video games, computer animation, and shared social experience. I will conclude by discussing possible future research directions.
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360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet
Appears in:
sis 15(6): e5

Authors:
Eleanor Mulholland, Paul Mc Kevitt, Tom Lunney, John Farren, Judy Wilson

Abstract:
Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAM- Select, a recommender system for educational video content. 360-MAM-Select will utilise sentiment analysis and gamification …Online recommender systems are useful for media asset management where they select the best content from a set of media assets. We have developed an architecture for 360-MAM- Select, a recommender system for educational video content. 360-MAM-Select will utilise sentiment analysis and gamification techniques for the recommendation of media assets. 360-MAM-Select will increase user participation with digital content through improved video recommendations. Here, we discuss the architecture of 360-MAM-Select and the use of the Google Prediction API and EmoSenticNet for 360-MAM-Affect, 360-MAM-Select's sentiment analysis module. Results from testing two models for sentiment analysis, Sentiment Classifier (Google Prediction API) and EmoSenticNetClassifer (Google Prediction API + EmoSenticNet) are promising. Future work includes the implementation and testing of 360-MAM-Select on video data from YouTube EDU and Head Squeeze.
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 technology, and networking technology all must be merged to address the scalability concern. 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.

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

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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-…

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

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

Journal Blurb

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

Publisher: EAI
ISSN: 2032-9407
Volume: 2

Published: 2015-11-06

Using Deduplicating Storage for Efficient Disk Image Deployment

Playout Buffer Aware Adaptation Scheme over Multi-client LTE Networks

Experiences Virtualizing a Large-Scale Test Platform for Multimedia Applications

Perceptually-Inspired Computing

360-MAM-Affect: Sentiment Analysis with the Google Prediction API and EmoSenticNet

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