Welcome to ICSESS2018!

2018 International Conference on Software Engineering and Service Science [ICSESS2018]

June 22nd-24th, 2018, Suzhou, China

2018 International Conference on Software Engineering and Service Science [ICSESS2018]

June 22nd-24th, 2018, Suzhou, China

KEYNOTES




Dr. Meftah Mohammed Charaf Eddine, University of Echahid Hamma Lakhdar-El Oued, Algéria
Speech Title: A comparative study of formal approaches for web service oriented architecture
Abstract. The security in the development of web service oriented architecture (WSOA) becomes a need and crucial goal. WSOA as service oriented architecture (SOA) designs the software as services and uses the services as platforms.
The orchestration of the services describes how Web services can interact with each other in an operational perspective. Many languages allow expressing executable processes to implementing Web services orchestration. These languages are used to describe how interactions between multiple services are coordinated to achieve a goal.
However, the operational semantics of each of the structures of these languages is not formally defined and theirs limitations to the reasoning and verification of Web services compositions. Several studies and approaches have been proposed in this context, are devoted to the formalization of orchestrations of Web services and allow some verification of their behavior; these approaches are partial solutions to the problem of development of safe composition. We explore the advantages and limitations of current practice and research work. We propose a model for comparison between works, studies and approaches in this field. The proposed model adopts the concepts of: formalization, and automation of development processes.

Prof. Wen-Tsai Sung, National Chin-Yi University of Technology, Taiwan
Speech Title: Employing a Mobile Web Server with the Features of Cross-platform and High-efficiency Based on WOT Innovative Approach
Abstract. This speech presents an approach of cross-platform and high efficient to build a real-time mobile web server for wireless sensor networks. Base the establishment of this mobile web server on the Web of Things (WOT) architecture. This mobile web server is a hardware module installed in an embedded system. The advantage of this mobile web server is that it is very easy to collect information, very confidential and security. This server can also upload data to the cloud at the same time, so it has the function of wireless sensor network system. When this system collects the signal data transmitted by these sensors, the system must first classify and store the information and then display the information on the monitoring page. The next step may be to upload the information to the cloud. Typically, connect the sensors to a network module with a network function, and then return the data to the control center unit. This research presented by the mobile web server also built on the same embedded hardware module, and even our system can be a private cloud data center. This system will visualize the data uploaded by the sensor, and draw the relevant historical data, and finally our system will perform big data analysis. Because our web page server built on an embedded operating system, it is easy for our system to model and visualize the corresponding graphics using the Python programming language. These drawings make it easy for researchers to compare and analyze. Finally, we will actually create an embedded system mobile web server, and for the current commercially available embedded hardware module in the establishment of mobile web server of performance comparison.

Dr. Ting Wang, Huawei Technology Co.Ltd., Shanghai, China
Speech Title: Towards Performance-Guaranteed Green Data Center Networking Using Blocking Island Paradigm
Abstract. Today's data center networks are usually over-provisioned for peak workloads. This leads to a great waste of energy since in practice traffic rarely ever hits peak capacity resulting in the links being under-utilized most of the time. Furthermore, the traditional non-traffic-aware routing mechanisms worsen the situation. From the perspective of resource allocation and routing, this work aims to implement a green data center network and save as much energy as possible. By utilizing an Artificial Intelligence (AI) Model named blocking island paradigm, we present a general framework trying to maximize the network power conservation and minimize sacrifices of network performance and reliability. The bandwidth allocation mechanism together with power-aware routing algorithm achieve a bandwidth guaranteed green tighter network. Moreover, our fast efficient heuristics for allocating bandwidth enable the system to scale to large sized data centers. The evaluation results show that achieving up to more than 50% power savings are feasible while guaranteeing network performance and reliability.

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