Adaptive Code Offloading and Resource-intensive Task Delegation for Mobile Cloud Applications
نویسندگان
چکیده
Mobile cloud computing is arising as a prominent domain that is seeking to bring the massive advantages of the cloud to the resource constrained smartphones, by following a delegation or offloading criteria. In a delegation model, a mobile device consumes services from multiple clouds by following their Web API. In the offloading model, a mobile application is partitioned and analyzed so that the most computational expensive operations at code level can be identified and offloaded for remote processing. This paper proposes a mobile cloud architecture that enhances the decision of offloading process with asynchronous cloud processing that targets cloud infrastructure and code offloading traces, also taking advantage of the middleware based delegation model.
منابع مشابه
A Fine-Grained Adaptive Middleware Framework for Parallel Mobile Hybrid Cloud Applications
Mobile Cloud Computing (MCC) overcomes mobile device limitations by delegating tasks to more capable cloud spaces. Existing mobile offloading solutions generally rely on full virtual machine migration, which is coarse-grained and costly, or implementation of code offloading as part of the application logic, which greatly increases the application complexity and the associated software developme...
متن کاملDesign and Evaluation of a Method for Partitioning and Offloading Web-based Applications in Mobile Systems with Bandwidth Constraints
Computation offloading is known to be among the effective solutions of running heavy applications on smart mobile devices. However, irregular changes of a mobile data rate have direct impacts on code partitioning when offloading is in progress. It is believed that once a rate-adaptive partitioning performed, the replication of such substantial processes due to bandwidth fluctuation can be avoid...
متن کاملAn Effective Computation Offloading from Mobile Devices to Cloud
Energy and time effectiveness is a primary consideration for smartphones or mobile devices. Cloud computing has the ability to conserve mobile device’s energy by using the concept of computation offloading. Existing studies focus on offloading computation by assuming the relations among the factors like wireless bandwidth, the amount of computation to be performed, and the amount of data to be ...
متن کاملFramework for Computation Offloading in Mobile Cloud Computing
— The inherently limited processing power and battery lifetime of mobile phones hinder the possible execution of computationally intensive applications like content-based video analysis or 3D modeling. Offloading of computationally intensive application parts from the mobile platform into a remote cloud infrastructure or nearby idle computers addresses this problem. This paper presents our Mobi...
متن کاملJoint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks
Mobile-Edge Computing (MEC) is an emerging paradigm that provides a capillary distribution of cloud computing capabilities to the edge of the wireless access network, enabling rich services and applications in close proximity to the end users. In this article, a MEC enabled multi-cell wireless network is considered where each Base Station (BS) is equipped with a MEC server that can assist mobil...
متن کامل