User Demand Prediction from Application Usage Pattern in Virtual Smartphone

Heo, Joon; Terada, Kenji; Toyama, Masashi; Kurumatani, Shunsuke; Chen, Eric

doi:10.1109/cloudcom.2010.52

Cited by 11 publications

(9 citation statements)

References 10 publications

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“…Students indicated that popular tasks and activities, such as sending and receiving messages, following the news, making communications, making chat, making friends, finding specific information, finding general information, making discussion groups, playing games, completing class assignments, checking materials related to courses, doing business, seeking jobs, watching movies, listening to music, accessing library services are important tasks accomplished by them through the use of these devices. Sharing Heo et al (2010), most apps used by students at SVU"s DLIS range from navigation software, services providing news and weather feeds, entertainment and games to apps allowing users to access internet services such as email, Wikipedia, YouTube, Facebook and other social networking apps. Such apps, which are known as mobile social networking apps, allow students to connect with each other as well as with others like family, relatives and friends.…”

Section: Discussionmentioning

confidence: 99%

Use of smartphone apps among library and information science students at South Valley University, Egypt

Mansour¹

2016

International Journal of Internet Education

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The purpose of this study is to investigate the use patterns and ownership of smartphone apps among students at the Department of Library and Information Science (DLIS) at the South Valley University (SVU), Egypt. This study may help faculty members and students, as well as DLISs in general and SVU"s DLIS, in particular, to understand the nature and purpose of such use. Design/methodology/approach This study used quantitative research methodology in the form of a survey, which was undertaken from February to March 2015. The survey instrument was a self-administrated questionnaire, with a response rate 82.7 per cent (441/533). Findings The findings of this study showed that smartphone users (82.7 per cent) at SVU"s DLIS tended to be junior females. Smartphone non-users (17.3 per cent) tended to be also young females but primarily sophomores. The highest percentage of smartphone users had been using smartphones for four to five years, and the largest number of students was described to be advanced users who heard first about these mobile devices through friends and the Web. Most users had 21 to 25 apps. Social apps were the most popular and included Facebook, e-mail and Twitter. For professional purposes, students used smartphones more for communication purposes than learning purposes. Apps related to educational purposes included Google Mobile, Facebook, e-mail, Twitter, YouTube and Wikipedia Mobile. Students perceived most apps to be easy to use and useful to them. There were a number of uses for socializing including messaging, following the news and playing games. Students had mainly positive attitudes towards apps with a few negative concerns. Almost all students confirmed that they trust most apps. Barriers related to the use of apps included training and lack of awareness. Further research may be needed to specify the relationship between the students" use of these apps and their academic performance. The main tasks done on smartphone devices were mainly for socializing. Students indicated that popular tasks and activities, such as sending and receiving messages, following the news, making communications, making chat, making friends, finding specific information, finding general information, making discussion groups, playing games, completing class assignments, checking materials related to courses, doing business, seeking jobs, watching movies, listening to music and accessing library services are important tasks accomplished by them through the use of these devices. The current study indicated very positive attitudes towards the use of these apps. Student at least agree with the statement that smartphone apps allow for easy dissemination of information, provide too much information, increase the speed of finding information, help communication, convenient, secure, build confident and reduce paper use. However, a large number of students also at least agree with the statement that these apps are time consuming, intimidating, addictive, violate privacy, require high language and technical skills, harmful and...

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Section: Discussionmentioning

confidence: 99%

Use of smartphone apps among library and information science students at South Valley University, Egypt

Mansour¹

2016

International Journal of Internet Education

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“…By using this information the client components make decisions on how much portion of the application to offload [7,8]. The task offloading can be done by migrating VM from one cloudlet to another cloudlet [13]. The recent works ThinkAir [17], cloudclone [7], proposed the concept of offloading mobile application from single-machine execution into distributed execution environment automatically.…”

Section: Introductionmentioning

confidence: 99%

Round Robin with Load Degree: An Algorithm for Optimal Cloudlet Discovery in Mobile Cloud Computing

Ramasubbareddy¹,

Sasikala²

2018

SCPE

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Mobile devices have become essential in our daily lives but it has limited resources such as battery life, storage, and processing capacity. Offloading resource intensive task into the cloud is an efficient approach to improve battery utilization, storage capacity and processing capabilities. Efficiently computing using cloud resources to process offloaded task in order to improve response time and reduce both tasks' waiting time and latency problems is one of the main goals in mobile cloud computing (MCC). In order to improve user satisfaction and performance of the mobile application, a cloudlet framework concept has been developed to reduce latency problems which improve response time. The cloudlet brings the cloud closer to the user to perform a computational task. This article proposes a new balancing model among cloudlets in mobile cloud computing environment to find the required resources and create an impact on performance. The efficient load balancing model makes mobile cloud computing more attractive and improves user satisfaction. This paper introduces a Round Robin with Load degree algorithm for public cloudlets in mobile cloud computing using a switch mechanism to choose different approaches for different situations. This algorithm uses game theory based load balancing approach to improve application response time in public mobile cloud environments.

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“…In pioneering work that we mentioned [5], [6], [7], [8], [17] in the previous section, each of them has proposed its own MEC model or architecture with slightly different motivation and scope. However, with various research and standardization activities that followed, it becomes evident that the MEC architecture needs to be designed as infrastructure, to support many kind of IoT applications and their eco system.…”

Section: Mec Standardizationmentioning

confidence: 99%

“…In CloneCloud, offloading granularity is per thread. In Virtual Smartphone [8], most of the application processing is offloaded to an edge server The user device (smartphone) application receives the screen output of a virtual smartphone running at the nearby edge, in similar way as conventional thin-client technology. These early proposals, except fog computing, focus on user equipment end devices like smartphones and tablets.…”

Section: Definition Of Edge Computingmentioning

confidence: 99%

“…Since then, many research have been conducted actively, such as Refs. [6], [7] and [8], among others, and the paradigm gained momentum. While at the same time, it becomes apparent that, to 1 NTT Network Innovation Laboratories, Nippon Telegraph and Telephone Corporation, Musashino, Tokyo 180-8585, Japan a) tanaka.hiroyuki@lab.ntt.co.jp pull out the most of edge computing potential, it has to be infrastructure that is widely distributed, works together with network equipment in reasonable manner, is shared among multiple users, and is sufficiently managed.…”

Section: Introductionmentioning

confidence: 99%

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Multi-access Edge Computing: A Survey

Tanaka

Yoshida

Möri

et al. 2018

Journal of Information Processing

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Multi-access Edge Computing (MEC) can be defined as a model for enabling business oriented, cloud computing platform within multiple types of the access network (e.g., LTE, 5G, WiFi, FTTH, etc.) at the close proximity of subscribers to serve delay sensitive, context aware applications. To pull out the most of the potential, MEC has to be designed as infrastructure, to support many kind of IoT applications and their eco system, in addition to sufficiently management mechanism. In this context, various research and standardization efforts are ongoing. This paper provides a comprehensive survey of the state-of-the-art research efforts on MEC domain, with focus on the architectural proposals as infrastracture, the issue of the partitioning of processing among the user devices, edge servers, and a cloud, and the issue of the resource management.

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User Demand Prediction from Application Usage Pattern in Virtual Smartphone

Cited by 11 publications

References 10 publications

Use of smartphone apps among library and information science students at South Valley University, Egypt

Use of smartphone apps among library and information science students at South Valley University, Egypt

Round Robin with Load Degree: An Algorithm for Optimal Cloudlet Discovery in Mobile Cloud Computing

Multi-access Edge Computing: A Survey

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