Enabling Flexible and Efficient Remote Execution in Opportunistic Networks through Message-Oriented Middleware

Le, Minh; Song, Myoungkyu; Kwon, Youngwoo

doi:10.1109/compsac.2017.116

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…Le et al . [29] recommended a middleware system that evaluates the resources of nodes when computing tasks are assigned to nearby nodes to ensure efficient execution of tasks, also, an effective fault handling mechanism is proposed to deal with the unavoidable fault in the opportunity network. Considering that there are some selfish nodes in the task allocation algorithm, Chatzopoulos et al .…”

Section: Related Workmentioning

confidence: 99%

Cooperative‐routing mechanism based on node classification and task allocation for opportunistic social networks

Zheng

Chen

et al. 2020

IET Communications

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Section: Related Workmentioning

confidence: 99%

Cooperative‐routing mechanism based on node classification and task allocation for opportunistic social networks

Zheng

Chen

et al. 2020

IET Communications

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“…Wi-Fi Direct is a new peer-to-peer (P2P) communication standard built on top of the IEEE 802.11 to provide direct connections between Wi-Fi-enabled devices without Internet connections [14]. In our prior research [4,15,16], we used Wi-Fi Direct to construct P2P networks (i.e., groups) among the nearby devices, by letting them dynamically discover and connect to each other. However, with WiFi Direct, a single device can only belong to a single group at any time.…”

Section: Wifi-directmentioning

confidence: 99%

Enabling multi-hop remote method invocation in device-to-device networks

Le¹,

Clyde²,

Kwon³

2019

Hum. Cent. Comput. Inf. Sci.

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IntroductionResource sharing or computation offloading on mobile networks can bring a lot of benefits, the approaches in this domain if possible, can be widely applied to IoT networks or ubiquitous cities. In this section, we will go through the several limitations of current technologies, as well as our motivation to build a middleware that overcomes these obstacles by extending Remote Method Invocation method and multi-hop capability to enable resource sharing over mobile networks.Low-end devices always have trouble running intensive resource-consuming applications such as image or video processing, which remarkably slow down its speed and drain energy. One well-known solution is having the device participate in a collaboration in which it can offload or migrate intensive code portions [1-3] onto another device or cloud server with copious resource capacity, have them execute the code and wait for responses [4,5]. Although the idea is straightforward, code offloading has not been widely applied in the mobile industry due to several issues: it requires AbstractTo avoid shrinking down the performance and preserve energy, low-end mobile devices can collaborate with the nearby ones by offloading computation intensive code. However, despite the long research history, code offloading is dilatory and unfit for applications that require rapidly consecutive requests per short period. Even though Remote Procedure Call (RPC) is apparently one possible approach that can address this problem, the RPC-based or message queue-based techniques are obsolete or unwieldy for mobile platforms. Moreover, the need of accessibility beyond the limit reach of the device-to-device (D2D) networks originates another problem. This article introduces a new software framework to overcome these shortcomings by enabling routing RPC architecture on multiple group device-to-device networks. Our framework provides annotations for declaring distribution decision and out-of-box components that enable peer-to-peer offloading, even when a client app and the service provider do not have a direct network link or Internet connectivity. This article also discusses the two typical mobile applications that built on top of the framework for chatting and remote browsing services, as well as the empirical experiments with actual test-bed devices to unveil the low overhead conduct and similar performance as RPC in reality. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications

Pandey

Cruz

et al. 2021

2021 IEEE International Conference on Smart Data Services (SMDS)

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Enabling Flexible and Efficient Remote Execution in Opportunistic Networks through Message-Oriented Middleware

Cited by 3 publications

References 12 publications

Cooperative‐routing mechanism based on node classification and task allocation for opportunistic social networks

Cooperative‐routing mechanism based on node classification and task allocation for opportunistic social networks

Enabling multi-hop remote method invocation in device-to-device networks

Here, There, Anywhere: Profiling-Driven Services to Tame the Heterogeneity of Edge Applications

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