Mobile Cloud Computing Research - Issues, Challenges and Needs

Chang, Ruay-Shiung; Gao, Jerry; Gruhn, Volker; He, Jingsha; Roussos, George; Tsai, Wei‐Tek

doi:10.1109/sose.2013.96

Cited by 29 publications

(10 citation statements)

References 21 publications

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“…For example, some authors describe Fog and Edge computing as distinct technologies [107,108], while other authors interpret both as synonymous when considering Fog as a paradigm of computation [109,110]. It is also possible to assume Mobile Edge Computing (MEC) [111] as an interpretation Fog environment but with a specific niche [16]: mobility.…”

Section: Fog Orchestrator Architecturesmentioning

confidence: 99%

Fog orchestration for the Internet of Everything: state-of-the-art and research challenges

Velásquez

Abreu

Assis

et al. 2018

J Internet Serv Appl

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Recent developments in telecommunications have allowed drawing new paradigms, including the Internet of Everything, to provide services by the interconnection of different physical devices enabling the exchange of data to enrich and automate people's daily activities; and Fog computing, which is an extension of the well-known Cloud computing, bringing tasks to the edge of the network exploiting characteristics such as lower latency, mobility support, and location awareness. Combining these paradigms opens a new set of possibilities for innovative services and applications; however, it also brings a new complex scenario that must be efficiently managed to properly fulfill the needs of the users. In this scenario, the Fog Orchestrator component is the key to coordinate the services in the middle of Cloud computing and Internet of Everything. In this paper, key challenges in the development of the Fog Orchestrator to support the Internet of Everything are identified, including how they affect the tasks that a Fog service Orchestrator should perform. Furthermore, different service Orchestrator architectures for the Fog are explored and analyzed in order to identify how the previously listed challenges are being tackled. Finally, a discussion about the open challenges, technological directions, and future of the research on this subject is presented.

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Section: Fog Orchestrator Architecturesmentioning

confidence: 99%

Fog orchestration for the Internet of Everything: state-of-the-art and research challenges

Velásquez

Abreu

Assis

et al. 2018

J Internet Serv Appl

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“…Some research work has been done to address some expected key features for cloud databases and mobile databases. For example, the authors in [14,15,16] focus on two important features listed below.…”

Section: B Mobile Cloud Databasesmentioning

confidence: 99%

“…As discussed in [14], multi-tenancy is a distinct feature of mobile SaaS and mobile clouds. With multi-tenancy, mobile users can access its tenant-based data services at the different levels listed below.…”

Section: • Multi-tenancymentioning

confidence: 99%

MCloudDB: A Mobile Cloud Database Service Framework

Lei

Sengupta

Pattanaik

et al. 2015

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering

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The recent advance in mobile network technologies (3G/4G) provides an efficient mobile network infrastructure supporting mobile users to access large volumes of mobile data. Now, many mobile applications are developed based on mobile databases on devices and conventional databases. Due to the limitations of mobile devices, using mobile databases on mobile devices encounters certain scalability issues in mobile data accesses and storage. One alternative approach is to use cloud-based databases to support mobile users and applications on mobile devices. This also runs into the several challenges, such as mobility support, localization, energy consumption, and performance concerns. This paper presents a mobile enabled cloud database solution, called MCloudDB, to address the related issues and needs. MCloudDB provides a mobile enabled cloud database infrastructure with a framework, which can be used as a bridge to connect and integrate mobile applications with back-end cloud databases to support mobile cloud data management and access services. The paper presents the design of this framework and the related key solutions for essential features in mobile cloud databases, such as multi-tenancy, elasticity, seamless connectivity and disaster recovery. A simple application example and related experiment results are reported.

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“…According to the latest Visiongain's report , the mobile cloud computing market will generate 45 billion dollars in revenues by 2016 1 . The recent post in IEEE computer society indicated that mobile cloud is the top one technology trend in the near future 2 .…”

Section: Introductionmentioning

confidence: 99%

“…The recent post in IEEE computer society indicated that mobile cloud is the top one technology trend in the near future 2 . There will be a strong demand to have innovative mobile enabled database technologies and mobile data access service to address the current issues, challenges, and emergent need in mobile cloud computing [1]. According to Chetan Sharma Consulting, mobile data service revenues for the US market are expected to $90 Billion.…”

Section: Introductionmentioning

confidence: 99%