Cloud computing promises to provide high quality, on-demand services with service-oriented architecture. However, cloud service typically come with various levels of services and performance characteristics, which makes Quality of Cloud Service (QoCS) high variance. Hence, it is difficult for the users to evaluate these cloud services and select them to fit their QoCS requirements. In this paper, we propose an accurate evaluation approach of QoCS in service-oriented cloud computing. We first employ fuzzy synthetic decision to evaluate cloud service providers according to cloud users' preferences and then adopt cloud model to computing the uncertainty of cloud services based on monitored QoCS data. Finally, we obtain the evaluation results of QoCS using fuzzy logic control. The simulation results demonstrate that our proposed approach can perform an accurate evaluation of QoCS in service-oriented cloud computing.

Towards an accurate evaluation of quality of cloud service in service-oriented cloud computing

Quality of service routing in mobile ad hoc networks

Internet of Vehicles (IoV) is the basis of future intelligent transportation systems. Both the control signaling and data dissemination services in IoV must be transmitted with high reliability and low latency so that safety can be guaranteed. Based on the discussion and analyses of issues in achieving high reliability low latency transmissions, we present in this paper a Polar code-based overlapping transmission scheme in which simultaneous transmissions from different nodes to the same receiving node are allowed to use the same time-frequency resource block. To effectively eliminate multiple access interference introduced by the overlapped nonorthogonal transmissions, a successive cancellation list-based improved interference elimination decoding algorithm (SCL-based IIEDA) is proposed to retrieve the Polar coded information. Numerical results show that the SCL-based IIEDA performs well on information recovery in the presented transmission scheme. In addition, it is shown that the proposed scheme not only significantly reduces the acknowledgment overhead but also greatly improves the spectral efficiency.

A Power Allocation-Based Overlapping Transmission Scheme in Internet of Vehicles

Wireless Data Networks

The mobile network plays a vital role in mobile communications. It supports both host mobility and network mobility. The mobile network which supports network mobility can be called as NEMO. The NEMO refers to NEtwork MObility or mobile network that moves. Though NEMO provides many supports, it also suffers due to Quality of Service (QoS) issues. One such issue is Route Optimization (RO). When a Mobile Node (MN) is away from Home Network (HN), it will send a binding update to Home Agent (HA) in HN to inform its movement. If the Correspondent Node (CN) wants to send data to MN, it will send data through HA. In this scenario, three networks such as HN, Foreign Network (FN) and Correspondent Network are involved in data transfer. The involvement of these three networks affects the QoS. This paper concentrates on some of the QoS parameters to propose a QoS mechanism to establish RO among these three networks and significantly increases performance of the mobile network.

A Hop-Sensitive Mechanism to Establish Route Optimization in Mobile Networks

The present and future high-speed networks are expected to support wide variety real-time applications. However, the current Internet architecture offers mainly best-effort service. It means that the network will do its best to deliver the data at the destination without any guarantee. But the future integrated services networks will require guarantee for transferring heterogeneous data. There are many parameters involved in improving the Quality of Service (QoS). QoS is a set of service requirements to be met by the network while transporting a flow. In this paper, we consider four primary parameters are such as reliability, delay, jitter, bandwidth which together determine the QoS. The requirements of the above parameters will vary from one application to another application. Applications like file transfer, remote login, etc., will require high reliability. But, applications like audio, video, etc., will require low reliability, because they can tolerate errors. The objectives of this paper are to propose a novel technique to predict reason(s) for deterioration in the QoS and to identify the algorithm(s)/mechanism(s) responsible for the deterioration. We are sure that this paper will give better results to improve the QoS and to improve the performance of the network.

A novel prediction technique to improve quality of service (QoS) for heterogeneous data traffic

Many of today’s applications have not been designed to be used in mobile environments. In order to build mobility in these applications there is a need to compromise in higher delay, higher error rate, and lower bandwidth. The customers not only need mobility but also quality. It is a great challenge for the service providers to offer Quality of Service (QoS). The QoS parameters are divided into two categories such as Qualitative QoS parameters (reliability,security,manageability, etc.) and Quantitative QoS parameters (bandwidth,delay, jitter, etc). The requirements of the above parameters will vary from one application to another application. In this paper, we would like to propose a QoS technique to store the actual QoS requirements of data transfer and to evaluate the performance of data transfer with respect to reliability. Certainly, the outcome of this paper will help to compare the expected QoS requirements with the actual QoS requirements, to understand performance degradation and to identify the parameters responsible for reliability problem.

Reliability Analysis for General Packet Radio Service with Quality of Service Support

The mobile network that supports network mobility is an emerging technology. It is also referred as NEMO (NEtwork MObility). It is more appropriate for mobile platforms such as car, bus, train, air plane, etc. It is a great challenge to provide Quality of Service (QoS) in NEMO. QoS is a set of service requirements to be met by the network. There are various parameters by which QoS is provided. This paper concentrates on providing optimum bandwidth for data traffic. The objective of this paper is to propose a strategy to use Virtual Circuit (VC) approach in NEMO. It helps to utilize the bandwidth effectively, to consume minimum time to transfer the data and also to reduce overload of the mobile router due to the minimum size of the header. Ultimately, it gives better results to enhance the QoS in mobile networks.

A Quality of Service Strategy to Optimize Bandwidth Utilization in Mobile Networks

Mobile Ad-hoc Networks (MANETs) is one kind of wireless mobile network. It helps to communicate between the mobile nodes (devices) any time and in any location. MANETs can change the locations and has the ability to discover the path dynamically. In other words, topology is updated rapidly due to the dynamic nature of the nodes. There are many issues associated with MANETs such as fading, multiuser interference, frequent topology change, optimum routing, etc., that affect the efficient data transfer. This paper proactively selects best optimum path among the multiple paths. Ultimately, the outcomes of the proposed technique, REHDIS increases the speed of data transfer, reduces the End-to-End delay, produces less Packet Drop and increases Packet Delivery Ratio. REHDIS has been evaluated using Network Simulator - 2.34(NS-2.34).

P. Calduwel Newton

Papers

A novel prediction technique to improve quality of service (QoS) for heterogeneous data traffic

Reliability Analysis for General Packet Radio Service with Quality of Service Support

A Hop-Sensitive Mechanism to Establish Route Optimization in Mobile Networks

A Quality of Service Strategy to Optimize Bandwidth Utilization in Mobile Networks

REHDIS: Refined Hamming Distance technique to minimize data transfer delay in Mobile Ad-hoc Networks