SAMI: Service-Based Arbitrated Multi-Tier Infrastructure for Mobile Cloud Computing

Mobile Cloud Computing (MCC) is the state-ofthe- art mobile computing technology aims to alleviate resource poverty of mobile devices. Recently, several approaches and techniques have been proposed to augment mobile devices by leveraging cloud computing. However, long-WAN latency and trust are still two major issues in MCC that hinder its vision. In this paper, we analyze MCC and discuss its issues. We leverage Service Oriented Architecture (SOA) to propose an arbitrated multi-tier infrastructure model named SAMI for MCC. Our architecture consists of three major layers, namely SOA, arbitrator, and infrastructure. The main strength of this architecture is in its multi-tier infrastructure layer which leverages infrastructures from three main sources of Clouds, Mobile Network Operators (MNOs), and MNOs' authorized dealers. On top of the infrastructure layer, an arbitrator layer is designed to classify Services and allocate them the suitable resources based on several metrics such as resource requirement, latency and security. Utilizing SAMI facilitate development and deployment of service-based platform-neutral mobile applications.Comment: 6 full pages, accepted for publication in IEEE MobiCC'12 conference, MobiCC 2012:IEEE Workshop on Mobile Cloud Computing, Beijing, Chin

Mobile, collaborative augmented reality using cloudlets

The evolution in mobile applications to support advanced interactivity and demanding multimedia features is still ongoing. Novel application concepts (e.g. mobile Augmented Reality (AR)) are however hindered by the inherently limited resources available on mobile platforms (not withstanding the dramatic performance increases of mobile hardware). Offloading resource intensive application components to the cloud, also known as "cyber foraging", has proven to be a valuable solution in a variety of scenarios. However, also for collaborative scenarios, in which data together with its processing are shared between multiple users, this offloading concept is highly promising. In this paper, we investigate the challenges posed by offloading collaborative mobile applications. We present a middleware platform capable of autonomously deploying software components to minimize average CPU load, while guaranteeing smooth collaboration. As a use case, we present and evaluate a collaborative AR application, offering interaction between users, the physical environment as well as with the virtual objects superimposed on this physical environment

Flexible processing architecture for maintaining QoS in embedded systems applications

Comunicación presentada en las V Jornadas de Computación Empotrada, Valladolid, 17-19 Septiembre 2014The growing available capacity on a single chip is leading to increasingly sophisticated applications in the field of embedded systems. In addition, the cloud computing paradigm, allows the extension of the capabilities of these systems using remote resources. Among the wide range of applications that can arise in this context, are those in which it is critical to meet certain quality of service (QoS) requirements, such as limited latency. In these cases, real-time operating systems (RTOS) provide a valid solution to guarantee predictability and response time using the resources of the embedded system. However, in applications where the elements to process can grow and decrease in a variable way, the load can exceed the capabilities of the embedded system, which is an important limitation. In this paper, a new architecture is proposed, aiming to take the most of remotely available resources only when the load temporarily exceeds the capabilities of the embedded system. The access to the remote resources is done by using cloud platforms maintaining an acceptable level of QoS for the application

Taking Mendeley as multimedia-based application in academic writing

Mendeley is one of the references managers that provide web, desktop, and mobile version. This research aims at exploring the Indonesian Mendely users' preference on Mendeley use as multimedia-based application in academic writing. The researchers conducted survey research design to find data for deciding the obvious groups' characteristics on certain topic or issue in a diverse group. Data on this research was taken in 2015 to explore 100 Indonesian Mendeley users' preference on Mendeley features as web based application in academic writing. The researchers used weighted average find out rate and percentage adjusment for the influence of a binary confounder. The weighted average in this research was automatically generated by SurveyMonkey analytic. This research indicated what Mendeley features as multimedia web application for academic writing that Indonesian Mendeley users took in and ou

Framework 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 Mobile Augmentation Cloud Services (MACS) middleware which enables adaptive extension of Android application execution from a mobile client into the cloud. Applications are developed by using the standard Android development pattern. The middleware does the heavy lifting of adaptive application partitioning, resource monitoring and computation offloading. These elastic mobile applications can run as usual mobile application, but they can also use remote computing resources transparently. Two prototype applications using the MACS middleware demonstrate the benefits of the approach. The evaluation shows that applications, which involve costly computations, can benefit from offloading with around 95% energy savings and significant performance gains compared to local execution only

CloudMoV: Cloud-based Mobile Social TV

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