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Secure Scientific Applications Scheduling Technique for Cloud Computing Environment Using Global League Championship Algorithm
2016
PLoS ONE
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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
2016
International Journal in Foundations of Computer Science & Technology
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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
2018
International Journal of Trend in Scientific Research and Development
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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
2021
Sensors
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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
2018
International Journal of Advanced Research in Computer Science
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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
2013
Advances in Engineering Software
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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
2020
Ingénierie des Systèmes d'Information
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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
2018
ACM Transactions on Modeling and Computer Simulation
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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]
2022
arXiv
pre-print
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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
2020
International Journal on Cloud Computing Services and Architecture
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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
2020
Scientific Programming
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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
2019
IEEE Access
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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
2022
Computers Materials & Continua
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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]
2018
Lecture Notes in Computer Science
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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
2012
International Transactions in Operational Research
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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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