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Qi Q.,Beijing University of Posts and Telecommunications | Liao J.,Beijing University of Posts and Telecommunications | Wang J.,Beijing University of Posts and Telecommunications | Li Q.,Beijing University of Posts and Telecommunications | Cao Y.,EBUPT Information Technology Co.
Mobile Information Systems | Year: 2016

The mobile cloud computing (MCC) that combines mobile computing and cloud concept takes wireless access network as the transmission medium and uses mobile devices as the client. When offloading the complicated multitask application to the MCC environment, each task executes individually in terms of its own computation, storage, and bandwidth requirement. Due to user's mobility, the provided resources contain different performance metrics that may affect the destination choice. Nevertheless, these heterogeneous MCC resources lack integrated management and can hardly cooperate with each other. Thus, how to choose the appropriate offload destination and orchestrate the resources for multitask is a challenge problem. This paper realizes a programming resource provision for heterogeneous energy-constrained computing environments, where a software defined controller is responsible for resource orchestration, offload, and migration. The resource orchestration is formulated as multiobjective optimal problem that contains the metrics of energy consumption, cost, and availability. Finally, a particle swarm algorithm is used to obtain the approximate optimal solutions. Simulation results show that the solutions for all of our studied cases almost can hit Pareto optimum and surpass the comparative algorithm in approximation, coverage, and execution time. © 2016 Qi Qi et al. Source


Qi Q.,Beijing University of Posts and Telecommunications | Liao J.,Beijing University of Posts and Telecommunications | Cao Y.,EBUPT Information Technology Co.
Global Information Infrastructure Symposium, GIIS 2013 | Year: 2013

In the rural and developing areas, it is always difficult to charge a battery. The mobile device that accesses multiple cloud services consumes much power in executing handoff. To solve this issue, we propose an integrated multiple services handoff using the list method which makes all the active services execute handoff together. Analytic model and simulation are developed to investigate the new mechanism. The results demonstrate that the integrated service handoff mechanism can reduce handoff signaling cost, which can efficiently save power consumption for mobile devices. © 2013 IEEE. Source


Qi Q.,Beijing University of Posts and Telecommunications | Cao Y.,EBUPT Information Technology Co. | Li T.,Technical University of Madrid | Zhu X.,Beijing University of Posts and Telecommunications | Wang J.,Beijing University of Posts and Telecommunications
IEEE Transactions on Consumer Electronics | Year: 2010

Mobile Internet Protocol Television (IPTV) provides users with multimedia content through wireless access technologies whenever they want and wherever they are. However, vertical handover in heterogeneous networks results in long interruption time and large packet loss rate, which poses a challenge for seamless mobile IPTV service. The existing solutions that make use of the heterogeneous access networks to transmit multimedia content have two drawbacks: high bandwidth consumption of the wireless networks and lots of packets loss when a user resides in the overlapped area of the boundary. To solve these issues, we propose a new soft handover mechanism, based on the IPTV server and the consumer electronic devices. The proposed Parallel Soft Handover (PSH) divides the Real-time Transport Protocol (RTP) packets according to the packet loss rates, and exploits different networks efficiently by using parallel transmission. Moreover, the selective retransmission for RTP packets is introduced to reduce the packet loss. Simulation results demonstrate that the PSH can reduce the packet loss rate, as well as obtain a more efficient use of the wireless bandwidth. © 2006 IEEE. Source


Qi Q.,Beijing University of Posts and Telecommunications | Qi Q.,EBUPT Information Technology Co. | Liao J.,Beijing University of Posts and Telecommunications | Liao J.,EBUPT Information Technology Co. | Cao Y.,EBUPT Information Technology Co.
IET Communications | Year: 2014

Mobile devices are becoming the primary platforms for many users who always roam around when accessing the cloud computing services. From this, the cloud computing is integrated into the mobile environment by introducing a new paradigm, mobile cloud computing. In the context of mobile computing, the battery life of mobile device is limited, and it is important to balance the mobility performance and energy consumption. Fortunately, cloud services provide both opportunities and challenges for mobility management. Taking the activities of cloud services accessing into consideration, the authors propose a service-aware location update mechanism, which can detect the presence and location of the mobile device without traditional periodic registration update. Analytic model and simulation are developed to investigate the new mechanism. The results demonstrate that the service-aware location update management can reduce the location update times and handoff signalling, which can efficiently save power consumption for mobile devices. Source


Zhang C.,Beijing Jiaotong University | Zhang C.,Beijing University of Posts and Telecommunications | Liao J.,Beijing University of Posts and Telecommunications | Liao J.,EBUPT Information Technology Co. | And 3 more authors.
Science China Information Sciences | Year: 2012

Fault localization is a central element in network fault management. This paper takes a weighted bipartite graph as a fault propagation model and presents a heuristic fault localization algorithm based on the idea of incremental coverage, which is resilient to inaccurate fault propagation model and the noisy environment. Furthermore, a sliding window mechanism is proposed to tackle the inaccuracy of this algorithm in the presence of improper time windows. As shown in the simulation study, our scheme achieves higher detection rate and lower false positive rate in the noisy environment as well as in the presence of inaccurate windows, than current fault localization algorithms. © 2012 Science China Press and Springer-Verlag Berlin Heidelberg. Source

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