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Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm

Shafi'i Muhammad Abdulhamid, Muhammad Shafie Abd Latiff, Gaddafi Abdul-Salaam, Syed Hamid Hussain Madni, M. Sohel Rahman
2016 PLoS ONE  
Cloud computing system is a huge cluster of interconnected servers residing in a datacenter and dynamically provisioned to clients on-demand via a front-end interface.  ...  Scientific applications scheduling in the cloud computing environment is identified as NP-hard problem due to the dynamic nature of heterogeneous resources.  ...  The parameter values of the ACO are based on [29, 50] , while the parameter values for the GA are based on [24, 51] . The parameter settings for the GBLCA are based on [14] .  ... 
doi:10.1371/journal.pone.0158102 pmid:27384239 pmcid:PMC4934704 fatcat:ladq7syx45hbjglfbzk7yvt5de

Current Perspective in Task Scheduling Techniques in Cloud Computing: A Review

Jyoti Thaman, Manpreet Singh
2016 International Journal in Foundations of Computer Science & Technology  
This paper presents a review on scheduling proposals in cloud environment.  ...  Several techniques have been invented and tested by research community for generation of optimal schedules in cloud computing.  ...  resource in Cloud Computing infrastructure.  ... 
doi:10.5121/ijfcst.2016.6106 fatcat:zlpikdkjgffjppjlfd7xwy2peu

Data Storing in Multitenant Clouds using Split and Merge Method

Aswini. S, Prasanna. S
2018 International Journal of Trend in Scientific Research and Development  
Resource Accounting of Shared IT Resources technique that distributes the excess dynamic local workload evenly across all the nodes.  ...  The comparative simulation study shows that the proposed dynamic scheme gives better performance in terms of task scheduling on cube based multiprocessor networks. III.  ...  Cloud computing is a type of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand.  ... 
doi:10.31142/ijtsrd9609 fatcat:bsh6q62q6fd5recwaro47tgfxm

QoS-Based Service-Time Scheduling in the IoT-Edge Cloud

Briytone Mutichiro, Minh-Ngoc Tran, Young-Han Kim
2021 Sensors  
The effectiveness of our scheduling model is demonstrated through implementation on KubeEdge, a container orchestration platform based on Kubernetes.  ...  This study aims to address these restrictions by proposing a mechanism that improves the cluster resource utilization and Quality of Service (QoS) in an edge cloud cluster in terms of service time.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21175797 pmid:34502688 pmcid:PMC8434349 fatcat:hsbz5kcgsjcbfitxmwmrz3jzwe

DESIGN AND IMPLEMENTATION OF IMPROVED CENTRAL LOAD BALANCING ALGORITHM IN CLOUD ENVIRONMENT

Simranjeet kaur
2018 International Journal of Advanced Research in Computer Science  
With the changes and advancement in technology Cloud Computing is playing a pivotal role in field of Technology with a remarkable growth.  ...  The proposal of the central balancer to balance the load on the cloud is introduced and weigh against existing load balancing methods .The foremost intention of these efforts is to initiate as well as  ...  deal of time on the mechanics of programming by the mode of a clone toolkit.  ... 
doi:10.26483/ijarcs.v9i2.5587 fatcat:mcvq2ntqunai7elmigyffukksi

An ACO-inspired algorithm for minimizing weighted flowtime in cloud-based parameter sweep experiments

Cristian Mateos, Elina Pacini, Carlos García Garino
2013 Advances in Engineering Software  
Recently, Cloud schedulers based on bio-inspired techniques -which work well in approximating problems with little input information-have been proposed.  ...  We present a new Cloud scheduler based on Ant Colony Optimization, the most popular bio-inspired technique, which also exploits well-known notions from operating systems theory.  ...  Acknowledgments We thank the anonymous referees for their helpful comments to improve the theoretical background and quality of this paper.  ... 
doi:10.1016/j.advengsoft.2012.11.011 fatcat:4gd2rrgd25eqvdsyqqhlbrwibu

A Hybrid Multi-level Statistical Load Balancer-Based Parameters Estimation Model in Realtime Cloud Computing Environment

Gutta Sridevi, Midhunchakkravarthy
2020 Ingénierie des Systèmes d'Information  
As the size of the cloud-based applications and its tasks are increasing exponentially, it is necessary to estimate the load balancing metrics in the real-time cloud computing environments.  ...  Also, these models require high computational memory and time on large number of tasks.  ...  [8] testified to MapReduce programming for efficient job handling in cloud computing. They concentrated on the study of trade-off between cost of success and cost of optimisation.  ... 
doi:10.18280/isi.250607 fatcat:zdog2ebz4vhqxdcyrao2jsakdm

A Holistic Approach for Collaborative Workload Execution in Volunteer Clouds

Stefano Sebastio, Michele Amoretti, Alberto Lluch Lafuente, Antonio Scala
2018 ACM Transactions on Modeling and Computer Simulation  
Volunteer clouds support both computing-and storage-oriented cloud-based applications.  ...  One of the greatest challenges in the cloud computing domain is the e cient use of resources, while guaranteeing the ful llment of SLAs.  ...  Moreover, we plan to investigate novel mechanisms based on heterogeneous ants (i.e., ants having di erent behaviors), as well as to study variants of the basic spatial computing based on the information  ... 
doi:10.1145/3155336 fatcat:n2f43r34azdblkrdenr3eus6ga

Genetic-based optimization in Fog Computing: current trends and research opportunities [article]

Carlos Guerrero, Isaac Lera, Carlos Juiz
2022 arXiv   pre-print
Genetic-based optimization is commonly used in distributed systems; however, the differentiating features of fog computing require new designs, studies, and experimentation.  ...  The heterogeneity and wider distribution of fog devices are the key differences between cloud and fog infrastructure.  ...  Jobs are responsible for preprocessing this data to reduce the size of the transmitted data to the cloud level. The nodes on which these jobs run will have a direct influence on system performance.  ... 
arXiv:2112.01958v2 fatcat:qvfwmlhov5d6jcsjvhsvsgcqza

MCCVA: A New Approach Using SVM and Kmeans for Load Balancing on Cloud

Hieu Le Ngoc, Trang Nguyen Thi Huyen, Xuan Phi Nguyen, Cong Hung Tran
2020 International Journal on Cloud Computing Services and Architecture  
However, managing resources and scheduling tasks in virtualized data centres on the cloud are challenging tasks.  ...  In this paper, we propose an algorithm to reduce the processing time (makespan) on cloud computing, helping the load balancing work more efficiency.  ...  ACKNOWLEDGEMENTS Sincerely thank the Saigon University and Post & Telecommunication Institute of Technology which facilitates the provision of figures for this research paper.  ... 
doi:10.5121/ijccsa.2020.10301 fatcat:xmnjaubk7jgo5m4fdmxm2cfk7i

Security Measurement in Industrial IoT with Cloud Computing Perspective: Taxonomy, Issues, and Future Directions

Sahar Shah, Mahnoor Khan, Ahmad Almogren, Ihsan Ali, Lianwen Deng, Heng Luo, Muazzam A. Khan, Shah Nazir
2020 Scientific Programming  
Also, different classifications are made for cloud computing security on the basis of different cloud components that are used to secure the cloud models.  ...  Many surveys have been carried out in cloud security and privacy. The existing survey papers do not specify the classifications on the basis of cloud computing components.  ...  In this algorithm, each chromosome is utilized to show the schedule of a set of jobs on many computers. e gene is used to show the relation between jobs and computers.  ... 
doi:10.1155/2020/8871315 fatcat:z7shzh55lnai5m4s5pygr7u4oq

Survey of Memory Management Techniques for HPC and Cloud Computing

Anna Pupykina, Giovanni Agosta
2019 IEEE Access  
In this context, a viable scenario is that of multiple applications, with different QoS levels, coexisting on the same deeply heterogeneous HPC infrastructure and sharing resources.  ...  INDEX TERMS Clouds, high performance computing, memory management, resource management.  ...  Recent studies on scheduling in the Cloud were analysed from the MM techniques point of view.  ... 
doi:10.1109/access.2019.2954169 fatcat:hwtpltrdrffqdjdofhr3shjkla

Enhancing Cloud Performance Using File Format Classifications

Muhammad Junaid, Adnan Sohail, Monagi H. Alkinani, Adeel Ahmed, Mehmood Ahmed, Faisal Rehman
2022 Computers Materials & Continua  
The adopted approach is based on SVM one to many classification models of machine learning that performs the classifications of various data format types in the cloud with best accuracy.  ...  Metaheuristic approaches in cloud computing have shown significant results due to their multi-objective advantages.  ...  Rekha et al. proposed an ETA-GA model for job scheduling in cloud computing to reduce task completion time, increased throughput, and reduced makespan [64] .  ... 
doi:10.32604/cmc.2022.019962 fatcat:tmcv3r7pxbbobcegxowrav777e

Energy vs. QoX Network- and Cloud Services Management [chapter]

Bego Blanco, Fidel Liberal, Pasi Lassila, Samuli Aalto, Javier Sainz, Marco Gribaudo, Barbara Pernici
2018 Lecture Notes in Computer Science  
Network Performance (NP)-and more recently Quality of Service/Experience/anything (QoS/QoE/QoX)-based network management techniques focus on the maximization of associated Key Performance Indicators (KPIs  ...  Such mechanisms are usually constrained by certain thresholds of other system design parameters. e.g., typically, cost.  ...  Then, it is further approached by Lagrangian methods and can be decomposed into a single-job price-based parametrized optimization problem.  ... 
doi:10.1007/978-3-319-90415-3_10 fatcat:vrgspbts5nbkzj7ounhsw7ndj4

Parallel metaheuristics: recent advances and new trends

Enrique Alba, Gabriel Luque, Sergio Nesmachnow
2012 International Transactions in Operational Research  
We aim to discuss here on the state of the art, in a summarized manner, to provide a solution to deal with some of the growing topics.  ...  These topics include the utilization of classic parallel models in recent platforms (such as grid/cloud architectures and GPU/APU).  ...  Acknowledgements This work has been partially funded by the Spanish Ministry of Science and Innovation and FEDER under contract TIN2008-06491-C04-01 (the MSTAR project) and TIN2011-28194 (the RoadME project  ... 
doi:10.1111/j.1475-3995.2012.00862.x fatcat:7eqilt2zwbeyhfst5btn6ssvga
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