NDLI: Energy efficiency on location based applications in mobile cloud computing: a survey

Content Provider	Springer Nature Link
Author	Wang, Lian Cui, Yong Stojmevic, Ivan Ma, Xiao Song, Jian
Copyright Year	2013
Abstract	The constrained battery power of mobile devices poses a serious impact on user experience. As an increasingly prevalent type of applications in mobile cloud environments, location-based applications (LBAs) present some inherent limitations concerning energy. For example, the Global Positioning System based positioning mechanism is well-known for its extremely power-hungry attribute. Due to the severity of the issue, considerable researches have focused on energy-efficient locating sensing mechanism in the last a few years. In this paper, we provide a comprehensive survey of recent work on low-power design of LBAs. An overview of LBAs and different locating sensing technologies used today are introduced. Methods for energy saving with existing locating technologies are investigated. Reductions of location updating queries and simplifications of trajectory data are also mentioned. Moreover, we discuss cloud-based schemes in detail which try to develop new energy-efficient locating technologies by leveraging the cloud capabilities of storage, computation and sharing. Finally, we conclude the survey and discuss the future research directions.
Ending Page	585
Page Count	17
Starting Page	569
File Format	PDF
ISSN	0010485X
e-ISSN	14365057
Journal	Computing
Issue Number	7
Volume Number	96
Language	English
Publisher	Springer Vienna
Publisher Date	2013-05-29
Publisher Place	Vienna
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cloud computing Research exposition (monographs, survey articles) Software Engineering Energy-efficiency Computer Application in Administrative Data Processing Computer Science Artificial Intelligence (incl. Robotics) Location based service Information Systems Applications (incl. Internet) Mobile Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Computational Theory and Mathematics Computational Mathematics Numerical Analysis Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Energy-efficient data centers

Performance issues and performance analysis tools for HPC cloud applications: a survey

Software assurance practices for mobile applications : A survey of the state of the art

A survey on context-aware recommender systems based on computational intelligence techniques

Ubiquitous recommender systems

ParVec: vectorizing the PARSEC benchmark suite

Toward sustainable data centers: a comprehensive energy management strategy

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Springer computing special issue: adaptation in service-oriented and Cloud Computing

Energy efficiency on location based applications in mobile cloud computing: a survey

Similar Documents

Energy-efficient data centers

Performance issues and performance analysis tools for HPC cloud applications: a survey

Software assurance practices for mobile applications : A survey of the state of the art

A survey on context-aware recommender systems based on computational intelligence techniques

Ubiquitous recommender systems

ParVec: vectorizing the PARSEC benchmark suite

Toward sustainable data centers: a comprehensive energy management strategy

A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems

Springer computing special issue: adaptation in service-oriented and Cloud Computing

Energy efficiency on location based applications in mobile cloud computing: a survey