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Having RMI enabled on mobile platforms can bring several benefits, which the best of those is device resource transparency when multiple resources can be allocated for one function call. One of its strengths is that it provides a degree of location transparency by having servers add services to a registry and requiring clients to use the registry for binding. Remote Method Invocation (RMI) is a distributed architecture in which methods of remote Java objects can be invoked from other Java virtual machines possibly located on different hosts. OS rooting) and originates high latency, making it inapplicable for the category of applications that send a huge number of requests in a short period (e.g.
#USU CS MOBILE APPLICATIONS CODE#
Although the idea is straightforward, code offloading has not been widely applied in the mobile industry due to several issues: it requires radical changes to the system core (e.g. One well-known solution is having the device participate in a collaboration in which it can offload or migrate intensive code portions onto another device or cloud server with copious resource capacity, have them execute the code and wait for responses. 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. 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. Resource 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. 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. 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.
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#USU CS MOBILE APPLICATIONS SOFTWARE#
This article introduces a new software framework to overcome these shortcomings by enabling routing RPC architecture on multiple group device-to-device networks. Moreover, the need of accessibility beyond the limit reach of the device-to-device (D2D) networks originates another problem. 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.
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However, despite the long research history, code offloading is dilatory and unfit for applications that require rapidly consecutive requests per short period.
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To avoid shrinking down the performance and preserve energy, low-end mobile devices can collaborate with the nearby ones by offloading computation intensive code.