2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)最新文献

Multi-Objective Hybrid Optimization based Dynamic Resource Management Scheme for Cloud Computing Environments 基于多目标混合优化的云计算环境下动态资源管理方案

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987760

Jaspal Singh, Major Singh Goraya

{"title":"Multi-Objective Hybrid Optimization based Dynamic Resource Management Scheme for Cloud Computing Environments","authors":"Jaspal Singh, Major Singh Goraya","doi":"10.1109/ICSSIT46314.2019.8987760","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987760","url":null,"abstract":"Nowadays, the field of Cloud Computing has particularly been becoming an emerging paradigm to deliver services over the internet. The cloud data center needs a set of virtualized resources for providing cloud infrastructure services based on user's demand. The need for optimal resource management turns into a vital issue in cloud data center to reduce the level of resource wastage and Service Level Agreement (SLA) violation. Meta heuristics algorithms are well suitable to resolve this issue which comes under NP-hard problem. The paper, proposes a Multi-Objective Hybrid fruit fly Optimization (MOHFO) based scheme for SLA aware dynamic resource management in cloud data center. The Bald Eagle Search (BES) optimization behaviour is adopted to enhance the searching ability for fruit fly optimization algorithm. The proposed scheme follows a dynamic virtual machine (VM) deployment and consolidation scheme to obtain a trade-off among SLA violation and resource wastage. The proposed scheme is simulated on Cloudsim with different data centre configurations and experimental results are evaluated based on QoS metrics. Moreover, the proposed MOHFO scheme is evaluated and compared with other optimization schemes with respect to resource wastage, energy consumption, communication cost and number of migrations performed in order to provide QoS aware optimal resource provisioning in cloud computing.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115667497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Boosting Projection Neural Features for Semantic Similar Clustered Documents in Cloud 云中语义相似聚类文档的增强投影神经特征

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987838

B. Vinothini, N. Gnanambigai, P. Dinadayalan

{"title":"Boosting Projection Neural Features for Semantic Similar Clustered Documents in Cloud","authors":"B. Vinothini, N. Gnanambigai, P. Dinadayalan","doi":"10.1109/ICSSIT46314.2019.8987838","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987838","url":null,"abstract":"Cloud computing has emerged as real world technology over the Internet. Due to the development of big data with high dimensionality, data storage possibility over cloud has created large scope in recent times. Document clustering is the fundamental topic that turned into an indispensable component in many areas like cloud computing. Document clustering partitions the document into significant classes or groups for retrieving the relevant document. Many researchers used the factorization methods and ontologies for internal and external knowledge based document clustering. However, existing methods failed to provide the semantic feature construction and leads to the information loss while covering all the ideas in documents. In order to address these problems, different document clustering techniques in cloud has been reviewed in this paper. In addition to that Document clustering by Entropy-based Boosting with Projection Neural Feature (EB-PNF) method is presented. The proposed method involves two stages. They are, similar document identification based on semantic similarity score, feature extraction which includes the extraction of both single and multi-label features based on the precision, recall and computational complexity to prove that EB-PNF method produces high-quality clusters comparable to the state-of-the-art methods.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124368970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reconfiguration of Solar Photovoltaic Panels for Water Pumping Applications 水泵应用的太阳能光伏板的重新配置

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987887

Sravankumar Jogunuri, V. Mehra, D. Vyas

引用次数: 0

Sine-Cosine Algorithm Based PID Controller Design For Interacting Three-Tank System With Linear Resistance Elements 基于正弦余弦算法的线性电阻元件交互三缸系统PID控制器设计

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987746

Anmol Verma, H. Monga, V. Singh

引用次数: 3

Classification of Trained Input Images using Neural Networks 使用神经网络的训练输入图像分类

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987824

N. Sundari, D. Anandhavalli, K. Dhivyalakshmi, S. Reshma

引用次数: 1

A Novel Algorithm for Missing Data Imputation on Machine Learning 一种基于机器学习的缺失数据补全算法

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987895

G. Madhu, B Lalith Bharadwaj, G. Nagachandrika, K. Vardhan

{"title":"A Novel Algorithm for Missing Data Imputation on Machine Learning","authors":"G. Madhu, B Lalith Bharadwaj, G. Nagachandrika, K. Vardhan","doi":"10.1109/ICSSIT46314.2019.8987895","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987895","url":null,"abstract":"Missing data value plays a significant role in medical research and its presence causes an adverse effect on machine learning and AI models which leads to the wrong insights for decision making. Past few decades, researchers have developed and applied various imputation approaches to real-world applications. In addition, imputation methods help us to build effective models to discover hidden patterns in medical applications that can provide insightful outcomes for better decision-making. In this paper, a new approach is proposed to impute the missing data value using XGBoost (eXtreme Gradient Boosting) of ensemble learning method for continuous attributes in medical datasets. The proposed methods are continuous type attribute imputations for continuous and discrete data attributes. In this approach, we impute each missing data attribute value by predicting its data value from non-missing data attributes. The experiments are conducted on benchmark medical datasets missing values ranging from 1.98% to 50.65% and compared with iterative imputation, KNN imputation, and missForest imputation. In our study, we observe that missXGBoost can successfully handle missing data attributes of continuous types of attributes and it outperforms other imputation methods.","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128772672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Security for Digital Image and Text Message with Steganography and Watermarking Technique 基于隐写和水印技术的数字图像和文本信息安全

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987933

Sunil K. Patidar, Saima Khan, S. Singh

引用次数: 1

Simulation and Implementation of BPSK Modulator and Demodulator System on Spartan-3E FPGA BPSK调解调系统在Spartan-3E FPGA上的仿真与实现

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987788

A.K. Thasleem Sulthana

引用次数: 0

A Review of Deep Learning with Recurrent Neural Network 递归神经网络深度学习研究综述

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987837

M. Kaur, Aakash Mohta

引用次数: 25

Dynamic Workflow Scheduling Approach for Minimizing the Response Time Using An Efficient Workflow Scheduler in Cloud Computing 云计算中使用高效工作流调度程序最小化响应时间的动态工作流调度方法

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT) Pub Date : 2019-11-01 DOI: 10.1109/ICSSIT46314.2019.8987804

G. J. Mirobi, L. Arockiam

{"title":"Dynamic Workflow Scheduling Approach for Minimizing the Response Time Using An Efficient Workflow Scheduler in Cloud Computing","authors":"G. J. Mirobi, L. Arockiam","doi":"10.1109/ICSSIT46314.2019.8987804","DOIUrl":"https://doi.org/10.1109/ICSSIT46314.2019.8987804","url":null,"abstract":"The cloud computing system complies the customer to access data and programs outside of the user's computing environment. Rather than storing the user's data and software on the user's personal computer or server, it is stored in the cloud. These cloud services comprise of applications, email, databases and file services. To access the cloud services, the requests are given as workflow. A workflow is a series of steps comprised of achieving a well-defined objective in a cloud environment. These steps are in a specific order to enhance the execution process and ensure efficiency. The main issue in executing the workflows is the uncertainty of the request process period and response period. The existing algorithms are not suitable to handle the above-mentioned issue. An efficient workflow scheduler is necessary to schedule the requests, select the requests and map the selected tasks to the appropriate VMs for handling their execution procedure while satisfying all dependencies, constraints and objective functions. The goal of the proposed workflow scheduler is to offer cloud services in a quite short time. The workflow scheduler is used to provide the cloud services with minimum process time and response time as defined in the Service Level Agreement (SLA).","PeriodicalId":330309,"journal":{"name":"2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)","volume":"270 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123371403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0