Executing mobile applications on the cloud: Framework and issues

Hung, Shih-Hao; Shih, Chi-Sheng; Shieh, Jeng-Peng; Lee, Chen-Pang; Huang, Yi‐Hsiang

doi:10.1016/j.camwa.2011.10.044

Cited by 100 publications

(74 citation statements)

References 15 publications

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“…It provides an optimal and transparent solution for distribution of different application modules and significantly improves the performance of cloud applications but it is not highly flexible yet. A framework is proposed in [68], to execute the mobile applications on the cloud virtualization environment where the user can control the deployment and execution of the application. Cloudlet Aided Cooperative Terminals Service Environment (CACTSE) is proposed in [69] for mobile content delivery service where Mobile terminals are connected with each other via Service Manager (SM) which acts like a cloudlet module to improve the user experience.…”

Section: Comparative Analysis Of Existing Frameworkmentioning

confidence: 99%

Multi-access edge computing: open issues, challenges and future perspectives

Shahzadi¹,

et al. 2017

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Latency minimization is a pivotal aspect in provision of real time services while adhering to Quality of Experience (QoE) parameters for assuring spectral efficiency. Edge Cloud Computing, being a potential research dimension in the realm of 5G networks, targets to enhance the network efficiency by harnessing effectiveness of both cloud computing and mobile devices in user's proximity. Keeping in view the far ranging impact of Edge Cloud Computing in future mobile generations, a comprehensive review of the prevalent Edge Cloud Computing frameworks and approaches is presented with a detailed comparison of its classifications through various QoS metrics (pertinent to network performance and overheads associated with deployment/migration). Considering the knowledge accumulated, procedures analysed and theories discussed, the paper provides a comprehensive overview on sate-of-the-art and future research directions for multi-access mobile edge computing.

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Section: Comparative Analysis Of Existing Frameworkmentioning

confidence: 99%

Multi-access edge computing: open issues, challenges and future perspectives

Shahzadi¹,

et al. 2017

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“…The opportunistic replay technique [27] has been proposed to reduce the overhead associated with virtual machine migration by recording the non-deterministic events of user interactions with the application via the keyboard or the mouse and using the resulting interaction log to replay the application on the cloud. Hung et al [28] extended this idea by proposing a framework in which programmers insert pseudo checkpoints in an application to mark locations at which the application can resume whenever it is paused. At each pseudo checkpoint, the input events are recorded, and on pause, the state of the application and the events are saved such that the application can be resumed starting from the nearest pseudo checkpoint and can be replayed using the recorded events until it reaches the state at which it was paused.…”

Section: Replay Techniquesmentioning

confidence: 99%

Context-Aware Mobile Application Task Offloading to the Cloud

Elazhary¹,

Aloraini²,

Aljuraid³

2017

ijacsa

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Abstract-One of the benefits of mobile cloud computing is the ability to offload mobile applications to the cloud for many reasons including performance enhancement and reduced resource consumption. This paper is concerned with offloading of context-aware mobile applications, in which actions or tasks are executed in certain contexts and offloading those tasks needs to be itself context-aware to be advantageous. The paper investigates candidate techniques and development models in the literature to identify suitable ones. Accordingly, the paper proposes the practical Context-Aware Mobile applications Offloading (CAMO) development model, which we developed in Java for the Android platform. Programmers can exploit the independency of the tasks of a typical context-aware mobile application and use CAMO to profile each task in isolation on the mobile and the cloud. The paper introduces the concept of a taskoffloading plan in which programmers specify a criterion and/or an objective for offloading a task in a specific context. Offloading criteria allow rapid offloading in case the mobile environment does not change frequently. Based on the profiling results, programmers can use the classes and methods of CAMO to develop one or more custom offloading plans for each task or use pre-specified plans, criterion and objectives. We provide three example tasks with details of their profiling and analysis for developing corresponding offloading plans. CAMO is general and flexible enough for offloading any application partitioned into independent modules. Empirical evaluation shows extreme satisfaction of mobile application developers with its capabilities.

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“…Even thou philosophical implications of mobile revolution give the ability to store and retrieve mountains of information and to perform tasks on the move. Nonetheless, mobile computing still presents challenges such as devices' limited resources, networks' throughput, security standards, and power consumption that affect the deployment of such technology in sophisticated applications and manipulation of big data [12,13]. Cloud computing handles such challenges.…”

Section: Introductionmentioning

confidence: 99%

Untitled

2015

International Journal of Advanced Research in Computer and Comm

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Nowadays the fast growth and evolution on technologies such as cloud computing, mobile computing and geographic information systems (GIS) inherently exhibit spatiotemporal phenomena. These technologies have created opportunities for business implementation that utilize advanced mapping, mobile field-based applications and location aware systems. The capability to process and handle a big volume of data using cloud computing and to access location information via mobile have made GIS technology utilizes more widely. In this paper, we introduce a new mobile GIS cloud computing architecture that increase the efficiency of processing by decreasing the transmission time for data this is based on decreasing the size of transmitted data. The mobile geographic patrolling system based on cloud GIS has great significance for the development of gas pipeline patrolling. We propose pipeline patrolling prototype system which utilizes such technology.

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Executing mobile applications on the cloud: Framework and issues

Cited by 100 publications

References 15 publications

Multi-access edge computing: open issues, challenges and future perspectives

Multi-access edge computing: open issues, challenges and future perspectives

Context-Aware Mobile Application Task Offloading to the Cloud

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