scholarly journals A Hybrid Optimization Algorithm for Enhanced Web Services with QoS Measures in Cloud Computing.

2021 ◽  
Author(s):  
L Thenmozhi ◽  
N. Chandrakala
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Web Services ◽  
Optimization Algorithm ◽  
Optimization Techniques ◽  
Bald Eagle ◽  
Hybrid Optimization ◽  
Hybrid Optimization Algorithm ◽  
The Web

Abstract In the Environment of Big-Data analytics in world-wide, the cloud web-services were deployed in internet and Intranet domains. Moreover cloud computing possess the privileges and acquired rapid development, faces the trust complexities, privacy concepts and security issues which allows to implement the QoS measures in the optimization techniques in the web services selection. The study focusses on selection of component services and employing the efficient algorithm with end to end Quality of measures. The Data diversification and the service characteristics would decline the accuracy level of the measures. In this study a novel Qos measure web-services algorithm implemented the weight attributes and the subjective attributes. This study employs the novel hybrid-optimization algorithm in gaining the privileges of the search randomised-attributes and the implementation of IWO-invasive-weed algorithm. This study also focusses on the Calculation of Quality-of-service measures on the weights of the web-services attributes. Many researches have placed the Implementation of nature inspired concept for the optimization complexities in Big Data and thus employing Eagle-Perching Algorithm in the efficiency enhancement of cloud web-services. The evolution of BES- Bald Eagle-Search were utilized as the nature inspired approach would drive as the efficient technique for optimisation issues which imitates the bald-eagles behaviour. The results have been demonstrated the comparison of the performance metrics with the existing approaches to evaluate the proposed methodology.

scholarly journals Optimal workflow scheduling in cloud computing based on hybrid bacterial evolutionary and bees mating optimization algorithm

2021 ◽  
Vol 12 (3) ◽  
pp. 4762-4775
Author(s):  
Dinesh Kumar, Dr Sunil Kumar
Keyword(s):  
Cloud Computing ◽  
Optimization Algorithm ◽  
Service Providers ◽  
Computer Hardware ◽  
Hybrid Optimization ◽  
Workflow Scheduling ◽  
Distributed Resources ◽  
Computing Technique ◽  
Hybrid Optimization Algorithm ◽  
And Performance

Distributed computing is the most recent developing pattern in disseminated processing that conveys equipment framework and programming applications as administrations. The clients can devour these administrations dependent on a SLA which characterizes their required QoS parameters. By using the cloud computing technique it is possible to reduce the investment on various resources like computer hardware and software. The application or processes that are hosted and executed using clouds consist of set of tasks and it is considered that this task will form the workflow. Therefore scheduling the task is considered as a major issue as resource usage has to be maximized without affecting the services that are facilitated by the cloud. In order to execute different virtual machine application of the tasks are assigned and it is termed as enterprise arranging. In the scheduling process the inter-dependent tasks are mapped and managed in the distributed resources. For additional improvement, this paper proposes a hybrid optimization algorithm for workflow scheduling (HOWS) in cloud environment. In the proposed algorithm the first contribution is the bees mating optimization (BMO) algorithm used to share physical infrastructure to enable multiple service providers to optimize scheduling. The second contribution in the proposed algorithm is the bacterial evolutionary algorithm used to flexible access of the resources in order to optimize the network resources. By combining the hybrid optimization algorithm provides the better improvement in terms of task scheduling and optimal resource allocation. The result and performance analysis shows that the proposed technique performs very efficient in terms of energy efficiency and scalability without compromising security. The performance is obtained using cloudSim tool

scholarly journals Hybrid Optimization Driven RideNN for Software Reusability Estimation

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Ramu Vankudoth ◽  
◽  
Dr.Shireesha P ◽  
Keyword(s):  
Neural Network ◽  
Optimization Algorithm ◽  
Hybrid Optimization ◽  
Software Components ◽  
Estimation Model ◽  
Hybrid Optimization Algorithm ◽  
Software Reusability ◽  
Prime Concern ◽  
Over Time

Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the Measuring the software reusability has become a prime concern in maintaining the quality of the software. Several techniques use software related metrics and measure the reusability factor of the software, but still face a lot of challenges. This work develops the software reusability estimation model for efficiently measuring the quality of the software components over time. Here, the Rider based Neural Network has been used along with the hybrid optimization algorithm for defining the reusability factor. Initially, nine software related metrics are extracted from the software. Then, a holoentropy based log function identifies the normalized metric function and provides it to the proposed Cat Swarm Rider Optimization based Neural Network (C-RideNN) algorithm for the software reusability estimation. The proposed C-RideNN algorithm uses the existing Cat Swarm Optimization (CSO) along with the Rider Neural Network (RideNN) for the training purpose. Experimentation results of the proposed C-RideNN are evaluated based on metrics, such as Magnitude of Absolute Error (MAE), Mean Magnitude of the Relative Error (MMRE), and Standard Error of the Mean (SEM). The simulation results reveal that the proposed C-RideNN algorithm has improved performance with 0.0570 as MAE, 0.0145 as MMRE, and 0.6133 as SEM.

Workflow Scheduling for Scientific Application in Homogeneous Cloud Environment

2017 ◽  
Vol 7 (7) ◽  
pp. 137
Author(s):  
. Monika ◽  
Pardeep Kumar ◽  
Sanjay Tyagi
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Large Data ◽  
Workflow Scheduling ◽  
Cloud Environment ◽  
Computing Environment ◽  
Scientific Application ◽  
Cloud Computing Environment ◽  
Flow Of Information

In Cloud computing environment QoS i.e. Quality-of-Service and cost is the key element that to be take care of. As, today in the era of big data, the data must be handled properly while satisfying the request. In such case, while handling request of large data or for scientific applications request, flow of information must be sustained. In this paper, a brief introduction of workflow scheduling is given and also a detailed survey of various scheduling algorithms is performed using various parameter.

Web Services Architecture Model to Support Distributed Systems

2019 ◽  
Vol 54 (6) ◽  
Author(s):  
Sawsan Ali Hamid ◽  
Rana Alauldeen Abdalrahman ◽  
Inam Abdullah Lafta ◽  
Israa Al Barazanchi
Keyword(s):  
Web Services ◽  
Web Service ◽  
Distributed System ◽  
Modern Technology ◽  
Service Description ◽  
Architecture Model ◽  
Software Applications ◽  
Evolving Model ◽  
The Web

Recently, web services have presented a new and evolving model for constructing the distributed system. The meteoric growth of the Web over the last few years proves the efficacy of using simple protocols over the Internet as the basis for a large number of web services and applications. Web service is a modern technology of web, which can be defined as software applications with a programmatic interface based on Internet protocol. Web services became common in the applications of the web by the help of Universal, Description, Discovery and Integration; Web Service Description Language and Simple Object Access Protocol. The architecture of web services refers to a collection of conceptual components in which common sets of standard can be defined among interoperating components. Nevertheless, the existing Web service's architecture is not impervious to some challenges, such as security problems, and the quality of services. Against this backdrop, the present study will provide an overview of these issues. Therefore, it aims to propose web services architecture model to support distributed system in terms of application and issues.

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