جستجوی مقالات مرتبط با کلیدواژه « web service » در نشریات گروه « برق »

Computation offloading is known to be among the effective solutions of running heavy applications on smart mobile devices. However, irregular changes of a mobile data rate have direct impacts on code partitioning when offloading is in progress. It is believed that once a rate-adaptive partitioning performed, the replication of such substantial processes due to bandwidth fluctuation can be avoided. Currently, a wide range of mobile applications are based on web services, which in turn influences the process of offloading and partitioning. As a result, mobile users are prone to face difficulties in data communications due to cost of preferences or connection quality. Taking into account the fluctuations of mobile connection bandwidth and thereby data rate constraints, the current paper proposes a method of adaptive partitioning and computation offloading in three forms. Accordingly, an optimization problem is primarily formulated to each of three main objectives under the investigation. These objectives include run time, energy consumption and the weighted composition of run time and energy consumption. Next, taking into consideration the time complexity of the optimization problems, a heuristic partitioning method based on Genetic Algorithm (GABP) is proposed to solve each of the three objectives and with the capability of acceptable performance maintenance in both dynamic and static partitionings. In order to evaluate and analyze the performance of the proposed approach, a simulation framework was built to run for random graphs of different sizes with the capability of setting specific bandwidth limits as target. The simulation results evidence improved performance against bandwidth fluctuations when compared to similar approaches. Moreover, it was also seen that once the problem circumstances are modified, the offloading can take place in the vicinity of the target node. Furthermore, we implemented the proposed method in form of an application on Android platform to conduct experiments on real applications. The experiments prove that those partitions of the applications requiring higher processing reqources rather than data rate are the best candidates for offloading.

Service-oriented architecture is one of the fields of software engineering that enables a connection between the two systems in a heterogeneous network with different technology. Architectural features include the ability to reuse and agility against future changes. In the service-oriented architecture, one of the most important and fundamental challenge is that despite various code generators that introduced in this field, there are still shortcomings in the various phases of the code generator. In this paper, due to the weaknesses of the code generators in the different phases and that these shortcomings be found in the quality, and production software systems, have to offer a hybrid approach for the introduction of two references to the code generator. In order to use the advantages of the above two code generator, a hybrid code generator (SOG) is offered. Also, in order to increase the efficiency in the production of software systems using the provided code generator, the new features to enhance the security the code generator, increase programming languages supported, multiple formats for the transmission of information between client and server, adding a cryptographic layer and the production of panels for database management is provided on the web. The main objective of this paper is the code generator provides the codes related to service-oriented architecture. In order to assess the ability of the proposed code generator, the code generator is evaluated based on criteria related to different protocols and data transfer between client and server.