3,527 research outputs found
Towards a scalable scientific data grid model and services
No full textScientific Data Grid mostly deals with large computational problems. It provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets. This required the scientist in modern scientific computing communities involved in managing massive amounts of a very large data collections that are geographically distributed. Research in the area of grid has given various ideas and solutions to address these requirements. However, nowadays the number of participants (scientists and institutions) that are involved in this kind of environment is increasing tremendously. This situation has lead to a problem of scalability. In order to overcome this problem we need a data grid model that can scale well with the increasing number of users. Peer-to-peer (P2P) is one of the architectures that is a promising scale and dynamism environment. In this paper, we present a P2P model for Scientific Data Grid that utilizes the P2P services to address the scalability problem. By using this model, we study and propose various decentralized discovery strategies that intend to address the problem of scalability. We also investigate the impact of data replication that addresses the data distribution and reliability problem for our Scientific Data Grid model on the propose discovery strategies. For the purpose of this study, we have developed and used our own data grid simulation written using PARSEC. We illustrate our P2P Scientific Data Grid model and our data grid simulation used in this study. We then analyze the performance of the discovery strategies
with and without the existence of replication strategies relative to their success rates, bandwidth consumption and average number of hop
A performance study of routing protocols for mobile grid environment
No full textIntegration of mobile wireless consumer devices into the Grid initially seems unlikely due to limitation such as CPU performance, small secondary storage, heightened battery consumptionsensitivity and unreliable low-bandwidth communication. The current grid architecture and algorithm also do not take into account the mobile computing environment since mobile devices have not been seriously considered as valid computing resources or interfaces in grid communities. This paper presents the results of simulation done in identifying a suitable ad hoc routing protocol that can be used for the target grid application in mobile environment. The simulation comparing three ad hoc routing protocols named DSDV, DSR and AODV
TOWARDS A SCALABLE SCIENTIFIC DATA GRID MODEL AND SERVICES
No full textScientific Data Grid mostly deals with large computational problems. It provides geographically distributed resources for large-scale data-intensive applications that generate large scientific data sets. This required the scientist in modern scientific computing communities involved in managing massive amounts of a very large data collections that are geographically distributed. Research in the area of grid has given various ideas and solutions to address these requirements. However, nowadays the number of participants (scientists and institutions) that are involved in this kind of environment is increasing tremendously. This situation has lead to a problem of scalability. In order to overcome this problem we need a data grid model that can scale well with the increasing number of users. Peer-to-peer (P2P) is one of the architectures that is a promising scale and dynamism environment. In this paper, we present a P2P model for Scientific Data Grid that utilizes the P2P services to address the scalability problem. By using this model, we study and propose various decentralized discovery strategies that intend to address the problem of scalability. We also investigate the impact of data replication that addresses the data distribution and reliability problem for our Scientific Data Grid model on the propose discovery strategies. For the purpose of this study, we have developed and used our own data grid simulation written using PARSEC. We illustrate our P2P Scientific Data Grid model and our data grid simulation used in this study. We then analyze the performance of the discovery strategies with and without the existence of replication strategies relative to their success rates, bandwidth consumption and average number of hop
Interview with Sofie Abdullah
No full textفي هذه المقابلة، تتحدث الكاتبه صوفى عبد الله عن أسرار مهنة الكتابة.In this interview, Sofie Abdullah, a well-known Egyptian author, discusses the intricacies of the writing industry
Interview with Abdullah El Tayib
No full textفي هذه المقابلة، يتحدث الأديب والناقد والشاعر السوداني عبد الله الطيب عن مؤلفاته في النقد والقصص الشعبية ودواوينه الشعريه.In this interview, Sudanese author, intellectual, and poet Abdullah El Tayib discusses his collections of poetry, well-known stories, and critical writings
Interview with Abdullah Al-Baradouni
No full textلقاء مع الشاعر اليمنى عبد الله البرادوني للتكلم عن مكانة الشعر اليوم. أجرى اللقاء إبراهيم عابدين.An interview with Yemeni author and poet Abdullah Al-Baradouni about the role of poetry in modern times. Interview conducted by Ibrahim Abdeen
Task-Guided and Semantic-Aware Ranking for Academic Author-Paper Correlation Inference
No full textWe study the problem of author-paper correlation inference in big scholarly data, which is to effectively infer potential correlated works for researchers using historical records. Unlike supervised learning algorithms that predict relevance score of author-paper pair via time and memory consuming feature engineering, network embedding methods automatically learn nodes' representations that can be further used to infer author-paper correlation. However, most current models suffer from two limitations: (1) they produce general purpose embeddings that are independent of the specific task; (2) they are usually based on network structure but out of content semantic awareness. To address these drawbacks, we propose a task-guided and semantic-aware ranking model. First, the historical interactions among all correlated author-paper pairs are formulated as a pairwise ranking loss. Next, the paper's semantic embedding encoded by gated recurrent neural network, together with the author's latent feature is used to score each author-paper pair in ranking loss. Finally, a heterogeneous relations integrative learning module is designed to further augment the model. The evaluation results of extensive experiments on the well known AMiner dataset demonstrate that the proposed model reaches significant better performance, comparing to a number of baselines.We would like to thank Yuxiao Dong for suggestions. This work is supported by the Army Research Laboratory under Cooperative Agreement Number W911NF-09-2-0053 and the National Science Foundation (NSF) grant IIS-1447795. This work is partially supported by King Abdullah University of Science and Technology (KAUST)
Lapan pensyarah UPM terima pengiktirafan Green Computing Instructor
No full textSERDANG, 4 Nov – Lapan pensyarah Fakulti Sains Komputer dan Teknologi Maklumat (FSKTM), Universiti Putra Malaysia (UPM) dianugerahkan sijil Certified Green Computing Instructor yang diiktiraf dunia.
Ahli akademik FSKTM yang menerima pensijilan tersebut iaitu Prof. Madya Dr. Lili Nurliyana Abdullah, Dr. Azrul Hazri Jantan, Dr. Lily Suriani Affendy, Dr. Iskandar Ishak, Dr. Azizol Abdullah, Dr. Zyurina Mohd Hanapi, Dr. Jamilah Din dan Dr. Rozi Nor Haizan Nor.
Dekan FSKTM, Prof. Dr. Ramlan Mahmod berkata pengiktirafan itu membolehkan tenaga pengajar UPM untuk mengajar di mana-mana badan berkaitan teknologi maklumat (IT) sama ada swasta atau badan bukan kerajaan (NGO)
Kajian Sastra Perjalanan dalam Hikayat Kisah Pelayaran Abdullah ke Mekah Karya Abdullah Bin Abdul Kadir Munsyi
No full textThis research is aimed to identify and to reveal a hikayat as classic travel literature of Indonesia by the travel writing theory of Carl Thompson. To gain those purposes, this research used literary criticism and descriptive-analytic methods. The object of this study is Kisah Pelayaran Abdullah ke Mekah by Abdullah bin Abdul Kadir Munsyi (1854), focusing on the six elements of travel writing by Carl Thompson’s approach based on the hikayat. This study shows that the hikayat contains six elements of travel writing. Those are self, other, movement, space, encounter, and writing. Abdullah as a sailor puts himself in his hikayat as the main character by using “sahaya” and “aku” to articulate “self” in his hikayat. The “self” during travel met new and foreign things that the author had never seen before. He drew and expressed his point of view, feeling, and observation of all the encounters that he had met during sailing in to hikayat.Keywords: Carl Thompson, hikayat, travel writin
Dynamic augmentation of SCORM pre-authored course materials with adaptive links to supplementary resources
No full textIn a SCORM compliant courseware, content and the pedagogic approach to be taken are predefined by the course author. As a consequence, users are unable to learn according to their preferences, and implicitly they will all encounter the same learning experience. Recent attempts to personalise learning in SCORM often resulted in either modifying or substituting SCORM specification elements. Nonetheless, SCORM is a widely-used solution to interoperability problems. For this reason, this work focuses on supplementing SCORM rather than redefining it. This is accomplished by dynamically associating each pre-authored learning material in a SCORM package with adaptive links to relevant supplementary resources upon delivery. As a result, we have developed a Personalised Link Service (PLS) to deliver these links into user’s SCORM-compliant learning environment. In this paper, we present the design of a PLS authoring architecture which enables the automatic generation of a concept map from a SCORM package and consequently links to alternative learning resources, and a PLS run-time service oriented architecture which delivers these alternative resources, alongside the SCORM defined resources, according to a user model. We demonstrate the feasibility of our architecture by implementing a service to support a simple notion of a user model (Preferred Learning style)
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