Search Results - (( java simulation optimization algorithm ) OR ( using allocation cloud 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. …”

Implementation of locust inspired scheduling algorithm with huge number of servers for energy efficiency in a cloud datacenter by Azhar, Nur Huwaina

“…Cloudsim is used as Discrete Event Simulation tool and Java as coding language to evaluate LACE algorithm. …”
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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.…”
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Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation by Zhanuzak, Raiymbek, Ala'anzy, Mohammed Alaa, Othman, Mohamed, Algarni, Abdulmohsen

“…This paper presents an Enhanced Dynamic Load Balancing (EDLB) algorithm designed to optimise task scheduling and resource allocation in cloud environments. …”
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An improved dynamic load balancing for virtualmachines in cloud computing using hybrid bat and bee colony algorithms by Ullah, Arif

“…The proposed HBAC algorithm was tested and compared with other stateof-the-art algorithms on 200 to 2000 even tasks by using CloudSim on standard workload format (SWF) data sets file size (200kb and 400kb). …”
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Locust- inspired meta-heuristic algorithm for optimising cloud computing performance by Fadhil, Mohammed Alaa

“…The problem is modelled as a set of events that locates an appropriate VM on which to allocate the cloudlet. The proposed algorithm’s efficiency is evaluated using the CloudSim toolkit and a synthetic dataset. …”
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Impatient job scheduling under cloud computing by Mahdi, Nawfal A.

“…The proposed algorithm was transplanted in an adopted scheduling algorithm and tested using simu-lation with a synthetic dataset. …”
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Modified workflow scheduling using hybrid PSO-GA algorithm in cloud computing by Oke, Omotayo Patrick

“…A Hybrid GA-PSO algorithm is suggested in this paper to effectively allocate duties. …”
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Improving energy consumption in cloud computing datacenters using a combination of energy-aware resource allocation and scheduling mechanism by Khalil Abd., Sura

“…By designing a scheduling technique, cloud resources can be allocated efficiently to reduce the energy consumption of the cloud datacenter. …”
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Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail by Ismail, Mohd Badrulhisham

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Hybrid Henry Gas-Harris Hawks comprehensive-opposition algorithm for task scheduling in cloud computing by Omran Alkaam, Nora, Md Sultan, Abu Bakar, Hussin, Masnida, Yatim Sharif, Khaironi

“…The suggested technique was tested using CloudSim on the NASA, HPC2N, and Synthetic datasets. …”
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm by Muhammad Syahril Mohamad Sainal

“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. …”
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Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

“…This Study proposes task scheduling in cloud computing using a hybrid genetic algorithm, and bald eagle search proposed to solve the task scheduling problem. …”
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Energy and performance efficient resource allocation for cloud-based data centers by Akhter, Nasrin

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Task scheduling in cloud computing environment using hybrid of genetic algorithm and naked mole rat algorithm (GA-NMRA) by Mohammad Ozaniezie Onasis

“…This research proposes task scheduling in cloud computing using a hybrid genetic algorithm and naked mole rat algorithm to solve the task scheduling problem. …”
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Development of deep reinforcement learning based resource allocation techniques in cloud radio access network by Amjad, Iqbal

“…This thesis proposes three DRLbased resource allocation algorithms that optimize the CRAN performance in terms of energy efficiency (EE), spec tral efficiency (SE), and total power consumption. …”
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Impatient task mapping in elastic cloud using genetic algorithm by Mehdi, Nawfal A., Mamat, Ali, Ibrahim, Hamidah, K. Subramaniam, Shamala

“…Cloudsim simulator was used to test the proposed algorithm with real datasets collected as a cloud benchmark. …”
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Performance evaluation of load balancing algorithm for virtual machine in data centre in cloud computing by Parmesivan, Yuganes, Hasan, Sazlinah, Muhammed, Abdullah

“…Cloud computing has become biggest buzz in the computer era these days.It runs entire operating systems on the cloud and doeverything on cloud to store data off-site.Cloud computing is primarily based on grid computing, but it’s a new computational model.Cloud computing has emerged into a new opportunity to further enhance way of hosting data centre and provide services.The primary substance of cloud computing is to deal the computing power,storage,different sort of stages and services which assigned tothe external users on demand through the internet.Task scheduling in cloud computing is vital role optimisation and effective dynamic resource allocation for load balancing.In cloud, the issue focused is under utilisation and over utilisation of the resources to distribute workload of multiple network links for example,when cloud clients try to access and send request tothe same cloud server while the other cloud server remain idle at that moment, leads to the unbalanced of workload on cloud data centers.Thus, load balancing is to assign tasks to the individual cloud data centers of the shared system so that no single cloud data centers is overloaded or under loaded.A Hybrid approach of Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm is combined in order to get effective response time.The proposed hybrid algorithm has been experimented by using CloudSim simulator.The result shows that the hybrid load balancing algorithm improves the cloud system performance by reducing the response time compared to the Honey Bee (HB) and Particle Swarm Optimisation (PSO) load balancing algorithm.…”
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Dynamics resource allocation via virtual machine for cloud computing / Mohd Badrulhisham Ismail by Ismail, Mohd Badrulhisham

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Fuzzy logic-based algorithm resource scheduling for improving the reliability of cloud computing by Zavvar, Mohammad, Rezaei, Meysam, Garavand, Shole, Ramezani, Farhad

“…Cloud computing is an important infrastructure for distributed systems with the main objective of reducing the use of resources. …”
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