Distributed Mobile Computing Research Articles

Auction-and-Learning Based Lagrange Coded Computing Model for Privacy-Preserving, Secure, and Resilient Mobile Edge Computing

We design a novel encoding model based on Lagrange coded computing (LCC) for private, secure, and resilient distributed mobile edge computing (MEC) systems, where multiple base stations (BSs) act as “masters” offloading their computations to edge nodes acting as “workers”. A two-fold objective of the scheme is: i) efficient allocation of computing tasks to the workers; ii) providing the workers with appropriate incentives to complete their tasks. As such, each master must decide on its offloading requests to the workers including the allocated tasks and service fees to be paid. This problem is complex due to the following reasons: i) masters can be privately-owned or managed by different operators, i.e., there is no communication and no coordination among them; ii) workers are heterogeneous non-dedicated nodes with limited and nondeterministic transmission and computing resources. As a result, the masters must compete for constrained resources of workers in a stochastic partially-observable environment. To address this problem, we define the interactions between masters and workers as a direct stochastic first-price-sealed-bid (FPSB) auction. To analyze the auction, we represent it as a stochastic Bayesian game and develop a Bayesian learning framework to perfect the auction solution.

DyTO: Dynamic Task Offloading Strategy for Mobile Cloud Computing Using Surrogate Object Model

In Distributed Mobile Computing paradigm, mobile devices are offer unlimited services over mobile cloud computing. However, the limitation of the mobile devices and mobile cloud lead to several issues and challenges such as inadequate bandwidth, time delay, limited energy, poor quality of services and frequent disconnected network. To deal with these obstacles, we propose strategy dynamic task optimization in mobile cloud with offloading algorithm. In this paper the offloading algorithm we designed a model for coordinated management and optimized utilization of resource in mobile cloud for offloading process. The experimental evaluation are performed through the simulation results proves the feasibility and reliability, which shows its better mobile transactions with effective utilization of energy, resources, bandwidth, reducing the overhead time and improved quality of services for disconnected network between mobile devices and cloud servers.

Distributed Mobile Computing Mechanism Based on Opportunistic Communication

Distributed Mobile Computing Mechanism Based on Opportunistic Communication

Efficient Packet Scheduling Using Channel Adaptive Fair Queueing in Distributed Mobile Computing Systems

In a distributed mobile computing system, an efficient packet scheduling policy is a crucial component to achieve a high utilization of the precious bandwidth resources while satisfying users' QoS (quality of service) demands. An important class of scheduling techniques, namely, the wireless fair queueing algorithms, have been extensively studied recently. However, a major drawback in existing approaches is that the channel model is overly simplified - a two-state channel (good or bad) is assumed. While it is relatively easy to analyze the system using such a simple model, the algorithms so designed are of a limited applicability in a practical environment, in which the level of burst errors is time-varying and can be exploited by using channel adaptive coding and modulation techniques. In this paper, we first argue that the existing algorithms cannot cater for a more realistic channel model and the traditional notion of fairness is not suitable. We then propose a new notion of fairness, which bounds the actual throughput normalized by channel capacity of any two data connections. Using the new fairness definition, we propose a new fair queueing algorithm called CAFQ (Channel Adaptive Fair Queueing), which, as indicated in our numerical studies, outperforms other algorithms in terms of overall system throughput and fairness among error prone connections.

Towards a secure platform for distributed mobile object computing

We present some issues relevant to the design of a secure platform for distributed mobile computing, that goes beyond existing ad-hoc approaches to software mobility. This platform aims to support wide-area computing applications such as active network infrastructures or network supervision tools. Our contribution is two-fold: the first part of the paper is a survey of the security features of a few languages and virtual machines as regards authentication, access control, and communications security. We then discuss a possible architecture for a secure virtual machine for distributed mobile computing based on interesting features found in the implementations studied.

Infrastructure support for cooperative mobile environments

With the widespread use of distributed systems on the one hand and the rapid deployment of mobile computing and communication infrastructure on the other, it becomes important to link both technologies together. This paper first outlines new problems arising from distributed mobile computing and then presents a software support architecture and system for mobile applications. We then discuss a system model for structuring mobile applications, a station software infrastructure for managing resource access in dynamic mobile environments, and a description technique for specifying behavioural aspects of mobile applications The implementation is based on the remote procedure call of the OSF Distributed Computing Environment and on Microsoft RPC. First experiences with our prototype are reported and directions for future development are outlined.

Design and implementation of a support platform for distributed mobile computing

With the rapid development of mobile computer systems and mobile communication infrastructures, a broad field of distributed mobile computing is enabled. The paper first discusses these developments in closer detail and summarizes the resulting requirements concerning adequate software support. An application scenario of the service engineering area illustrates specific aspects including bandwidth and location management, dynamic configuration, resource heterogeneity, disconnection, and security. Based on these considerations, a generic software support platform for distributed mobile computing is derived. It addresses several of these aspects by providing application-independent and reusable support services. In particular, it offers a framework for organizing distributed mobile applications into manageable domains, it equips mobile stations with enhanced functionality for location, resource and bandwidth management, and it uses industry standard RPC communication facilities for enhanced portability. The design, implementation and use of the support platform is illustrated based on a specific part of the application, a mobile multimedia e-mail system. Experiences and implementation aspects in this context are particularly emphasized.