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This work develops a cloud-fog computing architecture for information-centric Internet-of-Things (IoT) applications with job classification and resource scheduling functions. The two designed functions support quality of service (QoS) by classifying IoT applications and scheduling computing resources. An innovative scheduling mechanism is developed to optimize the dispatch of cloud and fog resources...
In order to get the real-time and accurate operational status information of business processes and Web services called by customers, we proposed a Web service run-time monitoring method based on probe, which used aspect-oriented programming (AOP) to separate the monitoring logic from the business logic of Web service. Firstly, the status monitoring data initiative pushing was implemented by weaving...
With the development of Service Computing and Big Data research, more and more heterogeneous data generated in the process of Service Computing attracts our attention. Combining correlated data sources may help improve the performance of a given task. For example, in service recommendation, one can combine (1) user profile data (e.g. Genders, age, etc.), (2) user log data (e.g., Click through data,...
Application Programming Interfaces (APIs), which are emerging web services in general, are increasing with a rapid speed in recent years. With so many APIs, many management platforms have been developed and deployed, leading to the boom of API markets, that are similar to the mobile App markets. Meanwhile, it has become more and more difficult to select and manage APIs. In reality, most existing management...
With the explosive growth of Web services on the Internet, Quality-of-Service-based (QoS) service selection is becoming an important issue of service-oriented computing. The QoS values of services to current users are all supposed to be known in the previous works, while lots of them are not known in reality. In order to predict the missing data, many approaches have been employed in recent years...
With the development of Service Oriented Computing and the explosive growth of services, QoS (Quality of Service) based service computing, e.g., QoS-based selection and composition, is becoming more and more important. A common premise of previous research is that the QoS values of services to target users are supposed to be all known, while many QoS values are unknown in reality. This paper presents...
In this paper, we propose a novel framework WSCRec, in which historical information (i.e., execution logs) are utilized to facilitate the process of Web service composition. According to the execution logs of composite services, appropriate services which have been proved to be more reliable and robust and have higher probability to fulfill users' demands are located.
Service selection is an important issue of Service-oriented computing (SOC), which is a fundamental step to the composition of complex and large-grained services from single-function components. Skyline operation is recently adopted to select candidate services for composition, as skyline services have better QoS. However, the fast increasing web services, multiple quality attributes to be considered,...
Fast skyline selection of high-quality web services is of critically importance to upgrade e-commerce and various cloud applications. In this paper, we present a new MapReduce Skyline method for scalable parallel skyline query processing. Our new angular partitioning of the data space reduces the processing time in selecting optimal skyline services. Our method shortens the Reduce time significantly...
This paper describes data processing with real-time property based on prediction mechanism in wireless multichannel environments. Low bandwidth, unreliable wireless links, and frequent disconnections of mobile environments make it difficult to satisfy the timing requirements of supported strategies. This study investigates broadcast scheduling strategies for push-based broadcast with timing constraints...
In realizing cyber-physical systems, research on developing network supported with predictable Quality of Service (QoS) is extremely important. This study exploits heterogeneous networking as communication medium of cyber physical application using a distributed multi-agent scheme (DMAS). The DMAS is based on the concept of cooperation and the awareness algorithm. The proposed scheme is developed...
A novel IP Multimedia Subsystem (IMS) framework with cloud computing architecture is proposed for use in high-quality multimedia applications. The IMS supports heterogeneous networking with Quality-of-Service (QoS) policy. MapReduce analysis is also used to enhance cloud computing capability. This architecture enables users to access high-quality multimedia applications via Android-based appliances...
In this paper, we propose an enhanced QoS prediction approach to predict the missing QoS values for QoS-based selection. Compared with existing QoS prediction methods, our proposed A Smooth approach has two differences: 1) using A-cosine equation for similarity calculation to remove the impact of different QoS scale, 2) adding a data Smoothing process to improve the prediction accuracy. An extensive...
This study achieves Quality-of-Service (QoS) management in heterogeneous networking using a distributed multi-agent scheme (DMAS) based on the concept of cooperation and the awareness algorithm. The proposed scheme is developed for supporting QoS management in a user-accepted and cost-effective fashion, which consists of a collection of problem-solving agents with three modules: the knowledge source,...
With the development of Internet and Service/Cloud computing, more and more underlying web services are horizontally distributed on geographically distance servers connected with Internet. Inspired by MapReduce, we design a system architecture and Preprune-Refine framework in this paper to handle these distributed web services. Extensive experiments show that our Preprune-Refine framework performs...
Automatic web services composition approaches aim at automatically composing services to satisfy users' request according to the information of users' input. As the number of web services is increasing, the performance of automatic service composition is faced with challenges. In this paper, we propose an approach based on backward chaining method to compose web services with high performance and...
With the development of Service and Cloud Computing, more and more web services with similar function attributes but different QoS are available. Efficient selecting from these large numbers of web services brings challenges to the existing methods. Furthermore, service selection has been always a tedious process. In this paper, toward these issues, we make use of skyline with MapReduce to select...
Skyline attracts more and more attention from academic circle and industrial circle because of its application in multi-criterion decision support, preference answering and data analysis. However, it seems unnecessary to recommend all services in skyline while the number of skyline points is large. The number of services in skyline is always large for the reason that comparability decreases with the...
In this paper, we propose a time-sensitive probability skyline (TPS) approach to recommend services with uncertainty. We project services to n-dimensional data space and recommend services in TPS. Experimental evaluation on real data shows the great performance of TPS in service recommendation by comparing the experiment result with results of other approaches.
This study develops a novel IEEE 802.21 MIH (Media Independent Handover) mechanism for next generation vehicular multimedia network. An adaptive QoS management mechanism is also proposed. By obtaining received signal strength parameters, the proposed MIH framework can determine the best available network. The adaptive QoS mechanism substantially improves the performance of real-time multimedia applications...
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