Search Results - (( _ application service algorithm ) OR ( job application ((based algorithm) OR (bee algorithm)) ))

Adaptive intelligence job online scheduling within dynamic grid environment based on gridsim by Lorpunmanee, Siriluck, Md. Sap, Mohd. Noor, Abdullah, Abdul Hanan

Get full text
Get full text

Home service mobile application based on matching algorithm / Mohammad Naqib Norbaini by Norbaini, Mohammad Naqib

Get full text
Get full text

Simulated annealing approach to cost-based multi- quality of service job scheduling in cloud computing enviroment by Abdullah, Monir, Othman, Mohamed

“…A Genetic Algorithm (GA) for job scheduling has been proposed and produced good results. …”
Get full text
Get full text
Get full text

Experimental performance analysis of job scheduling algorithms on computational grid using real workload traces by Shah, S.N.M., Mahmood, A.K., Rubab, S., Hassan, M.F.

“…This paper presents comparative performance analysis of our proposed job scheduling algorithm with other well known job scheduling algorithms considering the quality of service parameters. …”
Get full text
Get full text

Technical job distribution at BSD SHARP service center using combination of naïve Bayes and K-Nearest neighbour by Pebrianti, Dwi, Ariawan, Angga, Bayuaji, Luhur, Mahdiana, Deni, ,, Rusdah

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

Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

“…The limitations of those algorithms were addressed and this leads to the proposition of an algorithm that has the ability to map the impatient jobs to virtual machines near its input, output, application, or forth party. …”
Get full text
Get full text

A new priority rule cloud scheduling technique that utilizes gaps to increase the efficiency of jobs distribution by Saydul Akbar, Murad

“…In this thesis, first a Priority-Based Fair Scheduling (PBFS) algorithm has been introduced to schedule jobs so that jobs get access to the required resources at optimal times. …”
Get full text
Get full text

Optimisation model for scheduling MapReduce jobs in big data processing / Ibrahim Abaker Targio Hashem by Ibrahim Abaker , Targio Hashem

Get full text
Get full text
Get full text

Relationship based replication algorithm for data grid by Yusof, Yuhanis

Get full text
Get full text

Deadline guarantee for scientific workflow using dynamic scheduling algorithms on IaaS clouds by Alqaisy, Sarah Abdulrahman Shukur

“…We will conduct a simulation experiment of scientific workflow algorithms with both of the algorithms mentioned above. …”
Get full text
Get full text

Dynamic load balancing algorithm based on deadline constrained in cloud environment by Mansur, Muzzammil

“…The Performance of cloud depends on the task scheduling as well as load balancing. Cloud Service Provider (CRP) provides services on demand to the users, as the application as well as the numbers of users are gradually growing over the cloud environment which leads to the increasing in the workload that are deployed over the virtual machine (VM). …”
Get full text
Get full text

An optimal tasks scheduling algorithm based on QoS in cloud computing network by Alhakimi, Mohammed Ameen Mohammed Abdo

“…The simulation tool used for testing the algorithm is WorkflowSim. We tested averages of execution time span of the proposed algorithm for 10 running times with 200-1000 tasks in 50 or 100 VMs. …”
Get full text
Get full text

Multi objective bee colony optimization framework for grid job scheduling by Alyaseri, Sana, Ku-Mahamud, Ku Ruhana

“…Grid computing is the infrastructure that involves a large number of resources like computers, networks and databases which are owned by many organizations.Job scheduling problem is one of the key issues because of high heterogeneous and dynamic nature of resources and applications in the grid computing environment.Bee colony approach has been used to solve this problem because it can be easily adapted to the grid scheduling environment.The bee algorithms have shown encouraging results in terms of time and co st.In this paper a framework for multi objective bee colony optimization is proposed to schedule batch jobs to available resources where the number of jobs is greater than the number of resources.Pareto analysis and k-means analysis are integrated in the bee colony optimization algorithm to facilitate the scheduling of jobs to resources.…”
Get full text
Get full text
Get full text

Innovative crossover and mutation in a genetic algorithm based approach to a campus bus driver scheduling problem with break consideration and embedded overtime by Ramli, Razamin, Ibrahim, Haslinda, Lim, Tze Shung

Get full text
Get full text
Get full text

Security analysis of data transmission in an IoT based platform for telemedicine by Olanrewaju, Rashidah Funke, Amuda, Idowu Rahaman, Hassan Abdalla Hashim, Aisha

“…The sharing of confidential personal data such as medical data continues to take place regularly across the globe; it is therefore crucial to protect data from unauthorized access by adversaries. One of the algorithms that is commonly used due to its exemplary security and use in extensive applications is the advanced encryption standard (AES) algorithm. …”
Get full text
Get full text
Get full text

Comparison Between the Bees Algorithm and Genetic Algorithm Model in Manpower Allocation on Cell Loading Problem by AlMahasneh, Hossam Sayel

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

Bee foraging behaviour techniques for grid scheduling problem by Alyaseri, Sana, Ku-Mahamud, Ku Ruhana

“…Grid computing is the infrastructure that involves a large number of resources like computers, networks and databases which are owned by many organizations.These resources are collected together to make a huge computing power.Job scheduling problem is one of the key issues in grid computing and failing to look into grid scheduling results in uncompleted view of the grid computing.Achieving optimized performance of grid system, and matching application requirements with available computing resources, are the objectives of grid job scheduling.Bee colony approaches are more adaptive to grid scheduling due to high heterogeneous and dynamic nature of resources and applications in grid.These algorithms have shown encouraging results in terms of time and cost.This paper presents some resent research activities inspired by bee foraging behavior for grid job scheduling especially ABC and BCO approaches.Different original studies related to this area are briefly described along with their comparisons against them and results.The review summary of their derived algorithms and research efforts is done.…”
Get full text
Get full text
Get full text

Dynamic replica replacement strategy in data grid by Soosai, Alexis M., Abdullah, Azizol, Othman, Mohamed, Latip, Rohaya, Sulaiman, Md. Nasir, Ibrahim, Hamidah

“…Data replication strategy is widely adopted for large scale data-intensive applications in distributed network such as data grid. …”
Get full text
Get full text
Get full text

A realtime Runner Help Me mobile application using geolocation technique / Nurul Amierah Abd Rahman by Abd Rahman, Nurul Amierah

“…Afterward, the runner will pick random number or based on the job without having specific algorithm to charge the customer. …”
Get full text
Get full text

Multi-objective scheduling of MapReduce jobs in big data processing by Hashem, Ibrahim Abaker Targio, Anuar, Nor Badrul, Marjani, Mohsen, Gani, Abdullah, Sangaiah, Arun Kumar, Sakariyah, Adewole Kayode

Get full text
Get full text