Search Results - (( java implementation max algorithm ) OR ( knowledge sharing optimization algorithm ))

OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT by Murad S.S., Badeel R., Alsandi N.S.A., Alshaaya R.F., Ahmed R.A., Muhammed A., Derahman M.

“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”

Batch mode heuristic approaches for efficient task scheduling in grid computing system by Maipan-Uku, Jamilu Yahaya

“…Many algorithms have been implemented to solve the grid scheduling problem. …”
Get full text
Get full text
Get full text

Multiview Laplacian semisupervised feature selection by leveraging shared knowledge among multiple tasks by Krishnasamy, Ganesh, Paramesran, Raveendran

“…Our proposed algorithm is capable of exploiting complementary information from different feature views in each task while exploring the shared knowledge between multiple related tasks in a joint framework when the labeled training data is sparse. …”
Get full text
Get full text

Optimizing Decentralized Exam Timetabling with a Discrete Whale Optimization Algorithm by Emily Siew, Sing Kiang, Sze, San Nah, Goh, Say Leng

“…In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
Get full text
Get full text
Get full text

Optimizing decentralized exam timetabling with a discrete whale optimization algorithm by Emily Sing Kiang Siew, San nah sze, Say leng goh

“…—In recent years, there has been increasing interest in intelligent optimization algorithms, such as the Whale Optimization Algorithm (WOA). …”
Get full text
Get full text
Get full text

Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

“…The first proposed algorithm aims to optimize the EE by controlling the on/off status of RRH via a deep Q network (DQN) and subsequently solving a power optimization problem. …”
Get full text
Get full text

XCOA-MLP: Extended Coyote Optimization Algorithm for training neural networks in medical data classification by Al-Asaady, Maher Talal, Mohd Aris, Teh Noranis, Mohd Sharef, Nurfadhlina, Hamdan, Hazlina

“…This study proposes XCOA-MLP, a multilayer perceptron trained using an improved coyote optimization algorithm (XCOA). XCOA extends the standard COA by introducing a leader pack (LP) technique that accelerates convergence and enhances exploitation through inter-pack knowledge sharing. …”
Get full text
Get full text
Get full text

A Continuous Overlay Path Probing Algorithm For Overlay Networks by Feily, Maryam

“…In fact, bandwidth estimation is very beneficial to optimize the performance of end-to-end transport in several overlay applications such as Content Distribution Networks (CDNs), Peer-to-Peer (P2P) file sharing, and dynamic overlay routing. …”
Get full text
Get full text

SG-PBFS : Shortest Gap-Priority Based Fair Scheduling technique for job scheduling in cloud environment by Murad, Saydul Akbar, Zafril Rizal, M. Azmi, Muzahid, Abu Jafar Md, Bhuiyan, Md Khairul Bashar, Saib, Md, Rahimi, Nick, Prottasha, Nusrat Jahan, Bairagi, Anupam Kumar

“…To conduct this experiment, we employed the CloudSim simulator, which is implemented using the Java programming language.…”
Get full text
Get full text
Get full text
Get full text

Semi-supervised learning for feature selection and classification of data / Ganesh Krishnasamy by Ganesh , Krishnasamy

“…An efficient iterative algorithm is developed to optimize the objective function of the proposed algorithm since it is non-smooth and difficult to solve. …”
Get full text
Get full text
Get full text

Multi-microgrid optimization and energy management under boost voltage converter with Markov prediction chain and dynamic decision algorithm by Esmaeili Shayan, Mostafa, Najafi, Gholamhassan, Ghobadian, Barat, Gorjian, Shiva, Rizalman, Mamat, Mohd Fairusham, Ghazali

Get full text
Get full text
Get full text
Get full text

Personalized one-shot local adaptation federated learning for mortality prediction in multi-center Intensive Care Unit by Deng, Ting

“…Step 2 enables highly personalized models as students to rebalance global and local data knowledge through knowledge distillation optimizations. …”
Get full text
Get full text
Get full text

An enhanced sequential exception technique for semantic-based text anomaly detection by Taiye, Mohammed Ahmed

“…Practically, this study contributes to topic modelling and concept coherence for the purpose of visualizing information, knowledge sharing and optimized decision making.…”
Get full text
Get full text
Get full text

Dynamic approaches for spectrum control in cognitive radio networks by Mohamedou, Ahmed

“…Two artificial intelligence techniques are utilized which are Fuzzy Inference and Bayesian Inference. To optimize Fuzzy Inference scheduler, Genetic Algorithm is used. …”
Get full text
Get full text

SDN-based VANET routing: A comprehensive survey on architectures, protocols, analysis, and future challenges by Hussein, Nehad Hameed, Koh, Siaw Paw, Yaw, Chong Tak, Tiong, Sieh Kiong, Benedict, F., Yusaf, Talal, K., Kadirgama, Tan, Chung Hong

“…Generally, such services are realized through data sharing among vehicles and nearby infrastructures or vehicles over multi-hop data routing mechanisms. …”
Get full text
Get full text
Get full text

SDN-Based VANET Routing: A Comprehensive Survey on Architectures, Protocols, Analysis, and Future Challenges by Hussein N.H., Koh S.P., Yaw C.T., Tiong S.K., Benedict F., Yusaf T., Kadirgama K., Hong T.C.

“…Generally, such services are realized through data sharing among vehicles and nearby infrastructures or vehicles over multi-hop data routing mechanisms. …”