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Online Dynamic Replication and Placement Algorithms for Cost Optimization of Online Social Networks in Two-tier Multi-cloud by Ali Y. Aldailamy, Abdullah Muhammed, Rohaya Latip, Nor Asilah Wati Abdul Hamid, Waidah Ismail

Optimizing Cloud Storage Costs: Introducing the Pre-Evaluation-Based Cost Optimization (PECSCO) Mechanism by Alomari M.F., Mahmoud M.A., Gharaei N., Rasool S.M., Hasan R.A.

“…Innovative cloud computing system offers cutting-edge storage models that prioritize the importance of data, adaptive algorithms for controlling data flow, and cost-effective computational procedures. …”

Online dynamic replication and placement algorithms for cost optimization of online social networks in two-tier multi-cloud by Aldailamy, Ali Y., Muhammed, Abdullah, Latip, Rohaya, Hamid, Nor Asilah Wati Abdul, Ismail, Waidah

“…The second algorithm is Dynamic Exponential Time (DET) which determines the data object replication and placement based on exponential time periods. …”
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Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection by Tubishat, Mohammad, Idris, Norisma, Shuib, Liyana, Abushariah, Mohammad A.M., Mirjalili, Seyedali

“…Many fields such as data science, data mining suffered from the rapid growth of data volume and high data dimensionality. …”
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Performance-aware cost-effective brokering and load balancing algorithms for data center in large scale cloud computing by Naha, Ranesh Kumar

“…Proposed Cost Aware algorithm minimizes approximately 5.5% cost compared with closest data center algorithm. …”
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Solving economic load dispatch problem using genetic algorithm method / Norliza Kamarulzaman by Kamarulzaman, Norliza

“…Thus, the comparison showed the minimum total operating cost of data generation was achieved.…”
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Imputing incomplete software metric database using iterative nearest neighbour based algorithm by Wasito, Ito, Ab. Azid, Nurul Farihan

“…The experiments are carried out using real database for the input of the algorithm for the purpose of relating the missingness data in the real database to examine the accuracy of the imputed data compared to the actual data.…”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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ANN-Based Binary Backtracking Search Algorithm for VPP Optimal Scheduling and Cost-Effective Evaluation by Hannan M.A., Abdolrasol M.G., Mohamed R., Al-Shetwi A., Ker P., Begum R., Muttaqi K.

An adaptive data replication and placement for efficient data storage of online social networks using two-tier multi-cloud environment by Al-Dailamy, Ali Y., Muhammed, Abdullah, Latip, Rohaya, Abdul Hamid, Nor Asila Wati, Esmail, Waidah

“…The second algorithm is Dynamic Exponential Time (DET) which determines the data object replication and placement based on exponential time periods. …”
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The enhanced BPNN-NAR and BPNN-NARMA models for Malaysian aggregate cost indices with outlying data by Ahmad Kamaruddin, Saadi, Md Ghani, Nor Azura, Mohamed Ramli, Norazan

“…In the meanwhile, the real-industrial monthly data of Malaysian Aggregate cost indices data set from January 1980 to December 2012 (base year 1980=100) with different degree of outliers problem is adapted in this research. …”
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An enhanced soft set data reduction using decision partition order technique by Mohammed, Mohammed Adam Taheir

“…Furthermore, the decomposition based on previous algorithms could not achieve better parameter reduction in available domain space. …”
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Multiobjective differential evolution algorithm-based sizing of a standalone photovoltaic water pumping system by Muhsen D.H., Ghazali A.B., Khatib T.

A cluster-based hybrid replica control protocol for high availability in data grid by Mabni, Zulaile

“…This research has contributed a dynamic cluster-based hybrid replica control protocol which proposed a clustering algorithm to determine the number of clusters, a mechanism for dynamic participation of nodes in the network, and a replica placement algorithm that produces low communication cost and high data availability as compared to DH and DDG protocols. …”
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An ensemble learning method for spam email detection system based on metaheuristic algorithms by Behjat, Amir Rajabi

“…In the second phase, a classifier ensemble learning model is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on Binary Quantum Gravitational Search Algorithm (QBGSA), (ii) To mine data streams using various data chunks and overcome a failure of single classifiers based on SVM, MLP and K-NN algorithms. …”
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Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

“…With the fast development of Internet-based technologies, data generation has increased drastically over the past few years, coined as big data era. …”
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Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization by Hussain Mohammad Yousef Abu Dalbouh

A hyper-heuristic cost optimisation approach for Scientific Workflow Scheduling in cloud computing by Alkhanak, Ehab Nabiel, Lee, Sai Peck

“…The CTDHH approach employs four well-known population-based meta-heuristic algorithms, which act as Low Level Heuristic (LLH) algorithms. …”
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Sampling-based online motion planning for mobile robots: utilization of Tabu search and adaptive neuro-fuzzy inference system by Khaksar, Weria, Tang, Sai Hong, Mohamed Sahari, Khairul Salleh, Khaksar, Mansoor, Toressen, Jim

“…Despite the proven advantages of sampling-based motion planning algorithms, their inability to handle online navigation tasks and providing low-cost solutions make them less efficient in practice. …”
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Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin by Ahmad Kamaruddin, Saadi

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