I.4. Life and Medical Sciences
Nasrin Aghaee-Maybodi; Amin Nezarat; Sima Emadi; Mohammad Reza Ghaffari
Abstract
Sequence alignment and genome mapping pose significant challenges, primarily focusing on speed and storage space requirements for mapped sequences. With the ever-increasing volume of DNA sequence data, it becomes imperative to develop efficient alignment methods that not only reduce storage demands but ...
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Sequence alignment and genome mapping pose significant challenges, primarily focusing on speed and storage space requirements for mapped sequences. With the ever-increasing volume of DNA sequence data, it becomes imperative to develop efficient alignment methods that not only reduce storage demands but also offer rapid alignment. This study introduces the Parallel Sequence Alignment with a Hash-Based Model (PSALR) algorithm, specifically designed to enhance alignment speed and optimize storage space while maintaining utmost accuracy. In contrast to other algorithms like BLAST, PSALR efficiently indexes data using a hash table, resulting in reduced computational load and processing time. This algorithm utilizes data compression and packetization with conventional bandwidth sizes, distributing data among different nodes to reduce memory and transfer time. Upon receiving compressed data, nodes can seamlessly perform searching and mapping, eliminating the need for unpacking and decoding at the destination. As an additional innovation, PSALR not only divides sequences among processors but also breaks down large sequences into sub-sequences, forwarding them to nodes. This approach eliminates any restrictions on query length sent to nodes, and evaluation results are returned directly to the user without central node involvement. Another notable feature of PSALR is its utilization of overlapping sub-sequences within both query and reference sequences. This ensures that the search and mapping process includes all possible sub-sequences of the target sequence, rather than being limited to a subset. Performance tests indicate that the PSALR algorithm outperforms its counterparts, positioning it as a promising solution for efficient sequence alignment and genome mapping.
H.3.13. Intelligent Web Services and Semantic Web
E. Shahsavari; S. Emadi
Abstract
Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple ...
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Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requires service composition. Web service composition as an effective approach to the integration of business institutions’ plans has taken significant acceleration. Nowadays, web services are created and updated in a moment. Therefore, in the real world, there are many services which may not have composability according to the conditions and constraints of the user's preferred choice. In the proposed method for automatic service composition, the main requirements of users including available inputs, expected outputs, quality of service, and the priority are initially and explicitly specified by the user and service composition is done with this information. In the proposed approach, due to a large number of services with the same functionality, at first, the candidate services are reduced by the quality of service-based Skyline method, and moreover, by using an algorithm based on graph search, all possible solutions will be produced. Finally, the user’s semantic constraints are applied on service composition, and the best composition is offered according to user’s requests. The result of this study shows that the proposed method is more scalable and efficient, and it offers a better solution by considering the user’s semantic constraints.
G. Information Technology and Systems
M. Dehghani; S. Emadi
Abstract
Nowadays organizations require an effective governance framework for their service-oriented architecture (SOA) in order to enable them to use a framework to evaluate their current state governance and determine the governance requirements, and then to offer a suitable model for their governance. Various ...
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Nowadays organizations require an effective governance framework for their service-oriented architecture (SOA) in order to enable them to use a framework to evaluate their current state governance and determine the governance requirements, and then to offer a suitable model for their governance. Various frameworks have been developed to evaluate the SOA governance. In this paper, a brief introduction to the internal control framework COBIT is described, and it is used to show how to develop a framework to evaluate the SOA governance within an organization. The SOA and information technology expert surveys are carried out to evaluate the proposed framework. The results of this survey verify the proposed framework.
