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Special Issue "Ubiquitous Green IT System for Sustainable Computing"

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A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (30 May 2015)

Special Issue Editors

Guest Editor
Prof. Dr. Jason C. Hung

Overseas Chinese University, Taiwan
Website | E-Mail
Interests: green IT; ubiquitous computing; mobile storage; mobile computing; distributed software engineering; intelligent agent
Guest Editor
Prof. Dr. Cho-Li Wang

University of Hong Kong, Hong Kong
Website | E-Mail
Interests: cluster and cloud computing; green it; ubiquitous computing; distributed computing

Special Issue Information

Dear Colleagues,

Ubiquitous computing is an exciting new paradigm that offers challenging models of computing and poses fascinating problems regarding safety, security, and sustainability in IT. Ubiquitous computing is normally implemented by a convergence of advanced electronic and communications technologies, including networks, systems, algorithms, etc. However, in light of the dramatically increasing demands on computing systems, IT infrastructures have been scaled tremendously, resulting in huge amounts of energy consumption and heat dissemination. Such activities therefore contribute substantially to climate change.

Consequently, Ubiquitous Green IT systems (U-GITs) for sustainable computing are now a “hot” issue. Therefore, we are deeply considering key factors concerning U-GITs for sustainable computing. This Special Issue aims to overview the state-of-the-art of issues and solution guidelines for U-GITs. The issue will also provide a complete panorama of current research efforts, which reflect high interest topics for U-GITs researchers.

Jason C. Hung
Cho-Li Wang
Guest Editors

Submission

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. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as 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 refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed Open Access monthly 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 1200 CHF (Swiss Francs).


Keywords

  • suitable computing
  • energy harvesting
  • energy-efficient systems
  • cloud data center
  • sensing and iot
  • power-aware system
  • pervasive/ubiquitous system
  • context awareness

Published Papers (9 papers)

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Research

Open AccessArticle Does Environmental Sustainability Play a Role in the Adoption of Smart Card Technology at Universities in Taiwan: An Integration of TAM and TRA
Sustainability 2015, 7(8), 10994-11009; doi:10.3390/su70810994
Received: 4 March 2015 / Revised: 17 July 2015 / Accepted: 6 August 2015 / Published: 12 August 2015
PDF Full-text (793 KB) | HTML Full-text | XML Full-text
Abstract
Smart cards are able to store and protect relatively large amounts of data. When applied in universities, they can act as multi-purpose, multi-function and smart ID cards. This would avoid the waste of resources and maintain environmental sustainability. This study proposes a model
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Smart cards are able to store and protect relatively large amounts of data. When applied in universities, they can act as multi-purpose, multi-function and smart ID cards. This would avoid the waste of resources and maintain environmental sustainability. This study proposes a model that integrates Technology Acceptance Model and Theory of Reasoned Action into a framework incorporating the notion of environmental concern in order to explore the factors that affect students’ behavioral intention to use University Smart Cards. This study employs a quantitative method for primary data collection via a structured questionnaire for university students. The findings indicated that the perceived usefulness and subjective norm of university smart card systems have the most significant predictive power on potential users’ attitudes and intentions of adopting the card. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle Efficient Sustainable Operation Mechanism of Distributed Desktop Integration Storage Based on Virtualization with Ubiquitous Computing
Sustainability 2015, 7(6), 7568-7580; doi:10.3390/su7067568
Received: 1 May 2015 / Revised: 5 June 2015 / Accepted: 8 June 2015 / Published: 12 June 2015
Cited by 1 | PDF Full-text (1160 KB) | HTML Full-text | XML Full-text
Abstract
Following the rapid growth of ubiquitous computing, many jobs that were previously manual have now been automated. This automation has increased the amount of time available for leisure; diverse services are now being developed for this leisure time. In addition, the development of
[...] Read more.
Following the rapid growth of ubiquitous computing, many jobs that were previously manual have now been automated. This automation has increased the amount of time available for leisure; diverse services are now being developed for this leisure time. In addition, the development of small and portable devices like smartphones, diverse Internet services can be used regardless of time and place. Studies regarding diverse virtualization are currently in progress. These studies aim to determine ways to efficiently store and process the big data generated by the multitude of devices and services in use. One topic of such studies is desktop storage virtualization, which integrates distributed desktop resources and provides these resources to users to integrate into distributed legacy desktops via virtualization. In the case of desktop storage virtualization, high availability of virtualization is necessary and important for providing reliability to users. Studies regarding hierarchical structures and resource integration are currently in progress. These studies aim to create efficient data distribution and storage for distributed desktops based on resource integration environments. However, studies regarding efficient responses to server faults occurring in desktop-based resource integration environments have been insufficient. This paper proposes a mechanism for the sustainable operation of desktop storage (SODS) for high operational availability. It allows for the easy addition and removal of desktops in desktop-based integration environments. It also activates alternative servers when a fault occurs within a system. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle Supporting Keyword Search for Image Retrieval with Integration of Probabilistic Annotation
Sustainability 2015, 7(5), 6303-6320; doi:10.3390/su7056303
Received: 10 February 2015 / Accepted: 11 May 2015 / Published: 22 May 2015
PDF Full-text (5095 KB) | HTML Full-text | XML Full-text
Abstract
The ever-increasing quantities of digital photo resources are annotated with enriching vocabularies to form semantic annotations. Photo-sharing social networks have boosted the need for efficient and intuitive querying to respond to user requirements in large-scale image collections. In order to help users formulate
[...] Read more.
The ever-increasing quantities of digital photo resources are annotated with enriching vocabularies to form semantic annotations. Photo-sharing social networks have boosted the need for efficient and intuitive querying to respond to user requirements in large-scale image collections. In order to help users formulate efficient and effective image retrieval, we present a novel integration of a probabilistic model based on keyword query architecture that models the probability distribution of image annotations: allowing users to obtain satisfactory results from image retrieval via the integration of multiple annotations. We focus on the annotation integration step in order to specify the meaning of each image annotation, thus leading to the most representative annotations of the intent of a keyword search. For this demonstration, we show how a probabilistic model has been integrated to semantic annotations to allow users to intuitively define explicit and precise keyword queries in order to retrieve satisfactory image results distributed in heterogeneous large data sources. Our experiments on SBU (collected by Stony Brook University) database show that (i) our integrated annotation contains higher quality representatives and semantic matches; and (ii) the results indicating annotation integration can indeed improve image search result quality. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle SAW Classification Algorithm for Chinese Text Classification
Sustainability 2015, 7(3), 2338-2352; doi:10.3390/su7032338
Received: 14 August 2014 / Revised: 18 December 2014 / Accepted: 1 February 2015 / Published: 27 February 2015
PDF Full-text (738 KB) | HTML Full-text | XML Full-text
Abstract
Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology
[...] Read more.
Considering the explosive growth of data, the increased amount of text data’s effect on the performance of text categorization forward the need for higher requirements, such that the existing classification method cannot be satisfied. Based on the study of existing text classification technology and semantics, this paper puts forward a kind of Chinese text classification oriented SAW (Structural Auxiliary Word) algorithm. The algorithm uses the special space effect of Chinese text where words have an implied correlation between text information mining and text categorization for high-correlation matching. Experiments show that SAW classification algorithm on the premise of ensuring precision in classification, significantly improve the classification precision and recall, obviously improving the performance of information retrieval, and providing an effective means of data use in the era of big data information extraction. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle G-Cloud Monitor: A Cloud Monitoring System for Factory Automation for Sustainable Green Computing
Sustainability 2014, 6(12), 8510-8521; doi:10.3390/su6128510
Received: 6 October 2014 / Revised: 16 November 2014 / Accepted: 19 November 2014 / Published: 26 November 2014
Cited by 1 | PDF Full-text (2113 KB) | HTML Full-text | XML Full-text
Abstract
Green and cloud computing (G-cloud) are new trends in all areas of computing. The G-cloud provides an efficient function, which enables users to access their programs, systems and platforms at anytime and anyplace. Green computing can also yield greener technology by reducing power
[...] Read more.
Green and cloud computing (G-cloud) are new trends in all areas of computing. The G-cloud provides an efficient function, which enables users to access their programs, systems and platforms at anytime and anyplace. Green computing can also yield greener technology by reducing power consumption for sustainable environments. Furthermore, in order to apply user needs to the system development, the user characteristics are regarded as some of the most important factors to be considered in product industries. In this paper, we propose a cloud monitoring system to observe and manage the manufacturing system/factory automation for sustainable green computing. For monitoring systems, we utilized the resources in the G-cloud environments, and hence, it can reduce the amount of system resources and devices, such as system power and processes. In addition, we propose adding a user profile to the monitoring system in order to provide a user-friendly function. That is, this function allows system configurations to be automatically matched to the individual’s requirements, thus increasing efficiency. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle Efficiency Sustainability Resource Visual Simulator for Clustered Desktop Virtualization Based on Cloud Infrastructure
Sustainability 2014, 6(11), 8079-8091; doi:10.3390/su6118079
Received: 3 October 2014 / Revised: 3 November 2014 / Accepted: 5 November 2014 / Published: 14 November 2014
Cited by 4 | PDF Full-text (3113 KB) | HTML Full-text | XML Full-text
Abstract
Following IT innovations, manual operations have been automated, improving the overall quality of life. This has been possible because an organic topology has been formed among many diverse smart devices grafted onto real life. To provide services to these smart devices, enterprises or
[...] Read more.
Following IT innovations, manual operations have been automated, improving the overall quality of life. This has been possible because an organic topology has been formed among many diverse smart devices grafted onto real life. To provide services to these smart devices, enterprises or users use the cloud. Cloud services are divided into infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). SaaS is operated on PaaS, and PaaS is operated on IaaS. Since IaaS is the foundation of all services, algorithms for the efficient operation of virtualized resources are required. Among these algorithms, desktop resource virtualization is used for high resource availability when existing desktop PCs are unavailable. For this high resource availability, clustering for hierarchical structures is important. In addition, since many clustering algorithms show different percentages of the main resources depending on the desktop PC distribution rates and environments, selecting appropriate algorithms is very important. If diverse attempts are made to find algorithms suitable for the operating environments’ desktop resource virtualization, huge costs are incurred for the related power, time and labor. Therefore, in the present paper, a desktop resource virtualization clustering simulator (DRV-CS), a clustering simulator for selecting clusters of desktop virtualization clusters to be maintained sustainably, is proposed. The DRV-CS provides simulations, so that clustering algorithms can be selected and elements can be properly applied in different desktop PC environments through the DRV-CS. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle Estimation of Real-Time Flood Risk on Roads Based on Rainfall Calculated by the Revised Method of Missing Rainfall
Sustainability 2014, 6(9), 6418-6431; doi:10.3390/su6096418
Received: 11 July 2014 / Revised: 22 August 2014 / Accepted: 9 September 2014 / Published: 18 September 2014
Cited by 1 | PDF Full-text (1820 KB) | HTML Full-text | XML Full-text
Abstract
Recently, flood damage by frequent localized downpours in cities is on the increase on account of abnormal climate phenomena and the growth of impermeable areas due to urbanization. This study suggests a method to estimate real-time flood risk on roads for drivers based
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Recently, flood damage by frequent localized downpours in cities is on the increase on account of abnormal climate phenomena and the growth of impermeable areas due to urbanization. This study suggests a method to estimate real-time flood risk on roads for drivers based on the accumulated rainfall. The amount of rainfall of a road link, which is an intensive type, is calculated by using the revised method of missing rainfall in meteorology, because the rainfall is not measured on roads directly. To process in real time with a computer, we use the inverse distance weighting (IDW) method, which is a suitable method in the computing system and is commonly used in relation to precipitation due to its simplicity. With real-time accumulated rainfall, the flooding history, rainfall range causing flooding from previous rainfall information and frequency probability of precipitation are used to determine the flood risk on roads. The result of simulation using the suggested algorithms shows the high concordance rate between actual flooded areas in the past and flooded areas derived from the simulation for the research region in Busan, Korea. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle A Light-Weight Metering File System for Sustainable Real-Time Meter Data Management
Sustainability 2014, 6(9), 6351-6361; doi:10.3390/su6096351
Received: 24 June 2014 / Revised: 15 August 2014 / Accepted: 5 September 2014 / Published: 15 September 2014
PDF Full-text (930 KB) | HTML Full-text | XML Full-text
Abstract
A real-time smart metering system has strict requirements, since every piece of data gathered from various meters every hour is of importance, and each component consisting of metering infrastructure should be sustainable. Therefore, it is necessary to efficiently manage the meter data set
[...] Read more.
A real-time smart metering system has strict requirements, since every piece of data gathered from various meters every hour is of importance, and each component consisting of metering infrastructure should be sustainable. Therefore, it is necessary to efficiently manage the meter data set in smart metering networks as well as in a server. Therefore, we propose a dedicated file system, a LIght-weight Metering File System (LIMFS), which is capable of not only efficiently storing and searching meter data but also performing distributed fault-tolerant meter data management for real-time smart meter devices. The proposed LIMFS exploits accumulated data sliding storage (ADSS) for lost data recovery and latest-first error-ignorant data management (LEDM) to reduce memory wastage, coping with dynamic report interval. Experimental results demonstrate that LIMFS has as a small enough overhead to be considered negligible, and provides flexible memory capacity according to dynamic report interval, in spite of lost data recovery functionality. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)
Open AccessArticle Bitmap-Wise Wireless M-Bus Coordination for Sustainable Real Time Energy Management
Sustainability 2014, 6(7), 4326-4338; doi:10.3390/su6074326
Received: 5 June 2014 / Revised: 24 June 2014 / Accepted: 1 July 2014 / Published: 14 July 2014
Cited by 1 | PDF Full-text (1528 KB) | HTML Full-text | XML Full-text
Abstract
Even though WM-Bus is being considered to be the most promising network protocol for smart metering, it is not suitable for a sustainable real-time home energy management system (HEMS), which requires higher reliability and longer lifetime despite real time bi-directional communications. Therefore, in
[...] Read more.
Even though WM-Bus is being considered to be the most promising network protocol for smart metering, it is not suitable for a sustainable real-time home energy management system (HEMS), which requires higher reliability and longer lifetime despite real time bi-directional communications. Therefore, in this paper we propose a Bitmap-wise WM-Bus (BWM-Bus), coping well with sustainable real-time HEMS. In particular, the proposed scheme addresses the several problems in WM-Bus for HEMS by introducing novel functions: asynchronous meter trigger, adaptive slot scheduling, and bitmap-wise retransmission request. Through experiments, we demonstrate that BWM-Bus guarantees higher data success ratio with lower data aggregation time, as well as longer lifetime than WM-Bus standard. Full article
(This article belongs to the Special Issue Ubiquitous Green IT System for Sustainable Computing)

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