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We propose a new cloud gaming platform to address the limitations of the existing ones. We study the rendering pipeline of 2D planar maps, and convert it into the server and client pipelines. While doing so naturally gives us a distributed rendering platform, compressing 2D planar maps for transmission has never been studied in the literature. In this paper, we propose a compression component for...
Consistent (pause-free) quality of service is required in peer-to-peer (P2P) video streaming systems. In this paper, we aim to eliminate the problem of playback pauses in such systems via the use of positive incentives for peers to contribute high upload rates. We model our problem as a market, where the market stakeholders consist of multiple content providers, advertisement providers, and network...
Rapid growth of internet services and mobile devices has led to more and larger cloud data centers. The hyper scale cloud data center consumes enormous amount of electricity and cause pressure to operation cost and infrastructure management. The industry has made great progress in improving power usage effectiveness through innovation and infrastructure upgrade. Recent research is focusing on dynamically...
Mobile devices become popular with the help of hardware improvements and new functions supported by many sensors. In this paper, we propose a mobile and multi-sensing fusion platform to integrate the unstructured streaming sensing data collecting as well as processing technology and build a QoS performance model to estimate the computing resource of the platform. We also demonstrate three mobile and...
In this paper, we propose a cloud-assisted network coded packet retransmission approach to reduce the number of packet retransmission in wireless multicasting. It is shown that the efficiency of packet retransmission can be significantly improved if we include network topology information (e.g., Network connectivity) during the encoding process of network coding. We leverages the capability of software-defined...
To relieve the heavy loading caused by burst machine-to-machine (M2M) traffic and also satisfy various quality of service (QoS) requirements, load balancing techniques are often introduced in M2M networks. In recent years, software-defined networking (SDN) has shown the possibility of improving load balancing technique. In this paper, we propose traffic-aware load balancing mechanism for M2M networks...
Quality of Experience (QoE) is a measure of a customer's experiences with a service (web browsing, TV broadcast, call to a Call Center). QoE focuses on the entire service experience, and is a more holistic evaluation than the more narrowly focused UX (user experience, focused on a software interface) and CX (customer experience, support focused). Measuring the bottleneck link bandwidth along a path...
In this paper, we present amodeling technique of using Jackson's network theorem to characterize the performance of mashup multiple servers in cloud computing environments. The key challenge in providing new mashup mobile applications in cloud computing, such as the real-time location-based services, is to evaluate the overall delay resulting from integrating multiple cloud servers. Furthermore, the...
This paper summarizes the usual means of network authentication first. Next, a Web security and identity scheme based on session and online table is proposed. The thinking and implementation of the scheme is detailed then. Lastly, the paper analyzes the security intensity of the proposed scheme from various aspects. Either the analysis or the application of the scheme shows that the proposed method...
To determine the potential signaling traffic reductions, the session establishment procedures are investigated. The investigation shows that, the S-CSCF (Serving Call Session Control Function) is the major bottleneck in IMS (IP Multimedia Subsystem) and the existing 3GPP (the 3rd Generation Partnership Project) Service Triggering Algorithm (3GPP STA) increases largely the end to end session setup...
It is well known that queues with exponentially distributed service times have the smallest Shannon capacity among all single-server queues with the same service rate. In this paper, we study the capacity of timing channels in which the service time distributions have bounded support, i.e., Bounded Service Timing Channels (BSTC). We derive an upper bound and two lower bounds on the capacity of such...
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