Informatics Publishing Limited

G. Anusha ¹, B. Padmaja ¹

Affiliations
1 Information Technology Department, Sree Vidyanikethan Engineering College, Tirupathi, IN

Abstract

Service Composition involves the development of customized services often by discovering, integrating, and executing existing services. It's not only about consuming services, however, but also about providing services. This can be done in such a way that already existing services are orchestrated into one or more new services that fit better to your composite application. So the changes occurred in the partner services may affect the service compositions. Even if the composition does not change, its behavior may evolve over time and become incorrect. Such changes cannot be fully foreseen through prerelease validation, but impose a shift in the quality assessment activities. Provided functionality and quality of service must be continuously probed while the application executes, and the application itself must be able to take corrective actions to preserve its dependability and robustness. Compositions of services are reacting based on the user-predefined rules. For checking the system’s execution, supervision consists of monitoring and recovery. We are using two languages for monitoring and recovery. In previous work they used the supervision parameters partially, now we improve the usage of supervision parameters by combining the supervision parameters for selecting the amount of supervision activities to perform. And also concentrate on parameter priority for understanding easily.

Keywords

BPEL Process, Design Tools and Techniques, Software/Program Verification, Software Engineering.

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V. V. Sumanth Kumar ¹, Y. Praneetha ¹, B. Padmaja ¹, G. Lakshmana Murthy ¹

Affiliations
1 ICAR, NAARM Rd, Acharya Ng Ranga Agricultural University, Rajendranagar mandal, Hyderabad, Telangana, IN

Abstract

Cloud powered plant image warehouse serves as an instrumental solution for various scientific and academic personnel involved in research, education and extension at NARES (National Agricultural Research and Education System), through providing a common image dataset that complements for efficient and more productive activities by saving them time, space, hassle and financial resources. This web based image repository enables the entire scientific community to access the freely available resources contributed by the fellow researchers who worked on common areas of interest, besides facilitating to acknowledge the one who originally contributed. This also enables them to have better control and use of meta data with tagging and custom theme usage. The Plant image warehouse has been developed by using XAMPP an open source platform, which works on the Cent OS, using Apache Web server and MySQL a relational web based data management system and PHP, the object oriented scripting language. The third party software used in developing this image warehousing database is ZenPHOTO, a configurable software system wherein the users are able to upload, search and share the images. The graphical user interface is restricted to static webpages where, upon request from the user, server sends the response unchanged, unless modified by the uploader. This potential plant image warehousing technique will outstand as an authentic and reliable source of plant image database to the entire working community at NARES (National Agricultural Research and Education System).

Keywords

Cloud Storage, Database, Plant Image Warehouse, ZenPHOTO.

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