Application-oriented offloading in heterogeneous networks for mobile cloud computing

Tseng, Fan Hsun; Cho, Hsin Hung; Chang, Kai Di; Li, Jheng Cong; Shih, Timothy K.

doi:10.1080/17517575.2017.1287432

Cited by 15 publications

(13 citation statements)

References 18 publications

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“…Based on such an approach, service providers either competed or collaborated with others to provide satisfied quality of service to users and at the same time, restricted cloud resources could be exploited to the largest extent possible. Tseng et al [129] presented an alternative strategy for task offloading in an MCC system. The objective of their optimal offloading selection would either be choosing the most efficient connection link for data transmission so migration time between mobile and cloud could be maximally decreased, or be choosing appropriate virtual and physical machines so a specific application resource request could be satisfied.…”

Section: A Multi-objective Optimization Of MCCmentioning

confidence: 99%

An Overview of Mobile Cloud Computing for Pervasive Healthcare

Wang

Jin

2019

IEEE Access

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Mobile devices, along with wearable sensors, allow patients to access healthcare services from anywhere at any time. The longstanding constraints of computational capability and storage space on mobile devices can be alleviated by outsourcing computation-or data-intensive tasks to remote cloud centers. Thus, mobile cloud computing (MCC) has been recognized as a promising approach to provide pervasive healthcare services to people in their daily life. As the development and adoption of MCC techniques in healthcare, new optimization strategies have been explored and studied to help mobile cloud healthcare services to be deployed in a more effective and efficient manner. In this survey, we demonstrate how MCC techniques have been extensively deployed in various healthcare applications and, specifically, describe the general architecture and design considerations one should take into account while designing an MCC for healthcare scenarios. Given a large number of factors that may affect the performance of the MCC and even result in catastrophic consequences in healthcare, this paper presents the state-of-the-art optimization methods on the MCC for meeting the diverse priorities and achieving the optimal tradeoff among multiple objectives. Finally, the security and privacy issues of the MCC in healthcare are also discussed. INDEX TERMS Mobile cloud computing, pervasive healthcare. optimization, offloading, security and privacy. NOMENCLATURE

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Section: A Multi-objective Optimization Of MCCmentioning

confidence: 99%

An Overview of Mobile Cloud Computing for Pervasive Healthcare

Wang

Jin

2019

IEEE Access

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“…In this way, the distribution of the processing between devices of the IoT and cloud computing resources is able to increase the capabilities of the IoT system and to achieve greater overall performance in application execution. There are several techniques to improve the efficiency and effectiveness of the offloading process, such as multi-criteria decision analysis [ 36 ], stochastic analysis [ 37 ], or application-oriented [ 38 ].…”

Section: Background Of Iot Distributed Computingmentioning

confidence: 99%

Collaborative Working Architecture for IoT-Based Applications

Mora

Pont

Gil

et al. 2018

Sensors

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The new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing the computations and outsourcing the work from the IoT devices. This scenario opens new opportunities for designing advanced IoT-based applications, however, there is still much research to be done to properly gear all the systems for working together. This work proposes a collaborative model and an architecture to take advantage of the available computing resources. The resulting architecture involves a novel network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing (MCC) paradigm. An experiment is included to demonstrate that this approach can be used in diverse real applications. The results show the flexibility of the architecture to perform complex computational tasks of advanced applications.

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“…An arrangement has been checked in good utilize case for transmission sports information to the specialists who send the determination as a reaction. Fan-Hsun Tseng et al [10], proposed two calculations in light of use situated for least execution time, i.e., the Minimum Offloading Time for Mobile gadget (MOTM) calculation and the Minimum Execution Time for Cloud server farm (METC) calculation. This MCC offloads the assignments and occupations of mobile gadgets to cloud and mist conditions by utilizing the offloading plan.…”

Section: Literature Survey On Mobile Cloud Computingmentioning

confidence: 99%

Mobile Cloud Computing: A Literature Survey

Arun¹,

Ravi²

2018

AJEAT

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Mobile cloud computing (MCC) is the availability of cloud computing services in a mobile environment. By providing optimal services for mobile users, MCC incorporates the elements of mobile networks and cloud computing. In mobile cloud computing, all the data and complicated computing modules can be processed in clouds, and mobile devices do not need a powerful configuration like CPU speed, memory capacity, etc. However, the mobile devices are facing up with many struggles in their resources (e.g., battery life, storage, and bandwidth) and communications (e.g., privacy, mobility, and security). These challenges have a significant effect on the improvement of service qualities. In this paper, a literature survey on the MCC and security issues in MCC has presented.

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Application-oriented offloading in heterogeneous networks for mobile cloud computing

Cited by 15 publications

References 18 publications

An Overview of Mobile Cloud Computing for Pervasive Healthcare

An Overview of Mobile Cloud Computing for Pervasive Healthcare

Collaborative Working Architecture for IoT-Based Applications

Mobile Cloud Computing: A Literature Survey

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