Int. J. Auton. Comput.最新文献

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Distributed system configuration management using Markov logic networks 使用马尔可夫逻辑网络的分布式系统配置管理
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2016.10002938
R. Schauer, A. Joshi
{"title":"Distributed system configuration management using Markov logic networks","authors":"R. Schauer, A. Joshi","doi":"10.1504/IJAC.2016.10002938","DOIUrl":"https://doi.org/10.1504/IJAC.2016.10002938","url":null,"abstract":"Large-scale distributed systems are playing an ever increasing role in computational research, modelling and simulation, information processing, and application hosting, via traditional high performance computing, cloud and data intensive systems. The continuous management of such systems is a critical consideration when focusing on reliability, availability, and security. As the size and complexity of these systems continue to grow, it becomes increasingly difficult to track the multitude of parameters required to ensure optimal performance from the system, especially in those systems that have been built through expansion over time as heterogeneous architectures and not as a single homogeneous platform. In this paper, we discuss the use of Markov logic networks, in a distributed multi-agent system to provide an effective means of managing these parameters. We showcase an example for analysis, providing a comparative illustration of how this approach is resolving differences between various system nodes after identifying potential configuration issues.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124941068","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
A survey on load balancing algorithms in cloud computing 云计算中负载均衡算法的研究进展
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2017.10010817
R. Khan, Mohammad Oqail Ahmad
{"title":"A survey on load balancing algorithms in cloud computing","authors":"R. Khan, Mohammad Oqail Ahmad","doi":"10.1504/IJAC.2017.10010817","DOIUrl":"https://doi.org/10.1504/IJAC.2017.10010817","url":null,"abstract":"Cloud computing is a rising technology, which offers various online services like data storage, application and infrastructure on pay per used fashion that provides access in location independent manner. These services offer significant benefits for both consumer and producer. For optimal utilisation of resources, researchers from both academia and industry focus their efforts towards on cloud computing services. To achieve this target, numerous challenges have to be faced, out of which, load balancing is a centric issue in cloud computing environment which requires distribution of work load in a fairly manner across all the nodes. In this paper, a rich collection of algorithms has been surveyed and presented with detailed classification of algorithms based on different metrics such as reaction time, resource utilisation and energy efficiency and so on. Moreover, the merits, demerits, implementation tool and scope of implementation of each algorithm have been presented. The different implementation tools ...","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128254253","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: 2
Service priority queuing model-based internet of things middleware for load balancing among fog computing centres 基于服务优先级排队模型的物联网中间件,用于雾计算中心之间的负载平衡
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2020.10037093
Dilip Rathod, G. Chowdhary
{"title":"Service priority queuing model-based internet of things middleware for load balancing among fog computing centres","authors":"Dilip Rathod, G. Chowdhary","doi":"10.1504/IJAC.2020.10037093","DOIUrl":"https://doi.org/10.1504/IJAC.2020.10037093","url":null,"abstract":"","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127335453","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
Load balancing of fog computing centre and its security using elliptic curve cryptography 雾计算中心的负载均衡及其椭圆曲线加密的安全性
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2020.10037095
Yogita Pagar, Dilip Rathod, G. Chowdhary
{"title":"Load balancing of fog computing centre and its security using elliptic curve cryptography","authors":"Yogita Pagar, Dilip Rathod, G. Chowdhary","doi":"10.1504/IJAC.2020.10037095","DOIUrl":"https://doi.org/10.1504/IJAC.2020.10037095","url":null,"abstract":"","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"28 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128779299","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
Design of high speed multistream free space optics link under clear weather conditions 晴空条件下高速多流自由空间光学链路设计
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2020.10037090
Shantanu S. Jagdale, B. Iyer, S. Nalbalwar, S. Deosarkar
{"title":"Design of high speed multistream free space optics link under clear weather conditions","authors":"Shantanu S. Jagdale, B. Iyer, S. Nalbalwar, S. Deosarkar","doi":"10.1504/IJAC.2020.10037090","DOIUrl":"https://doi.org/10.1504/IJAC.2020.10037090","url":null,"abstract":"","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131269101","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: 1
An approach towards hybrid feature selection for detection of DDoS attack 一种用于DDoS攻击检测的混合特征选择方法
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2020.10037104
Anuja Patil, D. Kshirsagar
{"title":"An approach towards hybrid feature selection for detection of DDoS attack","authors":"Anuja Patil, D. Kshirsagar","doi":"10.1504/IJAC.2020.10037104","DOIUrl":"https://doi.org/10.1504/IJAC.2020.10037104","url":null,"abstract":"","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"387 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122879337","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
A load prediction model for SDN controllers SDN控制器的负荷预测模型
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2017.10010843
Kshira Sagar Sahoo, Mayank Tiwary, B. Sahoo
{"title":"A load prediction model for SDN controllers","authors":"Kshira Sagar Sahoo, Mayank Tiwary, B. Sahoo","doi":"10.1504/IJAC.2017.10010843","DOIUrl":"https://doi.org/10.1504/IJAC.2017.10010843","url":null,"abstract":"Separation of the control plane from data plane and keeping the decision making activities into a centralised system called controller is the key idea behind software defined networks. The controllers take the control decisions for OpenFlow enabled devices from a higher abstraction of the network. In this work, we propose a control layer architecture, which considers the local area network and wide area network traffic independently. The objective of this work is to predict the load for WAN controllers through the LAN controller by considering PACKET_IN as the load. After a certain threshold value, the controller's response time for processing the PACKET_INs increases substantially because of excess CPU utilisation. The delay in response from controller affects the initial packets of the flow passing through the network device and thus affects the QoS of the network. Hence, the proposed technique addresses this problem and reduces the delay in response substantially.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132976105","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: 2
Improved cyberbully detection techniques using multiple correlation coefficient from forum corpus 利用论坛语料的多重相关系数改进网络欺凌检测技术
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2018.097620
J. I. Sheeba, S. Devaneyan, Prathyusha Tata
{"title":"Improved cyberbully detection techniques using multiple correlation coefficient from forum corpus","authors":"J. I. Sheeba, S. Devaneyan, Prathyusha Tata","doi":"10.1504/IJAC.2018.097620","DOIUrl":"https://doi.org/10.1504/IJAC.2018.097620","url":null,"abstract":"Today, there are many prominent online sites where people share their experiences regarding crimes and anti-social behaviour. In this regard, a major unaddressed and even unidentified problem that is experienced in the social network websites is cyberbully. This proposed framework primarily targets the cyberbullying in the crime investigation forum since a high degree of cyberbully is common in crime forums. In this paper, a highly furnished representational framework is proposed that is specific to cyberbully detection using hybrid techniques (multiple correlation coefficient - MCC and support vector machine - SVM). The bag of words are given individual weights to examine their correlations using MCC algorithm before feeding them into a linear SVM classifier that identifies and classifies the cyberbully words. The efficiency of the system developed can be enhanced by analysing the evaluation metrics and the dataset validation metrics.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132656340","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: 1
A comparative analysis of metaheuristic-based clustering schemes for improving the network lifetime in flying ad hoc networks 基于元启发式的聚类优化飞行自组网网络生存期的比较分析
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2020.10037089
Meghna Goswami, Kundan Kumar, R. Arya
{"title":"A comparative analysis of metaheuristic-based clustering schemes for improving the network lifetime in flying ad hoc networks","authors":"Meghna Goswami, Kundan Kumar, R. Arya","doi":"10.1504/IJAC.2020.10037089","DOIUrl":"https://doi.org/10.1504/IJAC.2020.10037089","url":null,"abstract":"","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129538837","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
Soft computing optimisation study of fuzzy parametric uncertain system for real time process control 实时过程控制中模糊参数不确定系统的软计算优化研究
Int. J. Auton. Comput. Pub Date : 1900-01-01 DOI: 10.1504/IJAC.2018.097619
A. Patil, Rajan H. Chile
{"title":"Soft computing optimisation study of fuzzy parametric uncertain system for real time process control","authors":"A. Patil, Rajan H. Chile","doi":"10.1504/IJAC.2018.097619","DOIUrl":"https://doi.org/10.1504/IJAC.2018.097619","url":null,"abstract":"This paper deals with analysis and design of optimal robust controller for fuzzy parametric uncertain system using soft computing techniques. Fuzzy system is used to handle the uncertainty in the system. The response of fuzzy systems depends on tuning of fuzzy system parameters. Optimisation in designing of fuzzy membership function improves system response. These optimisation algorithms may have their own advantages and limitations. The proposed methodology uses different evolutionary algorithms to optimise the fuzzy membership function. A comparative study is done for modern non-traditional optimisation algorithms in improving the controller response. An optimal control design is used to obtain the control law. The system is converted into state space controllable canonical form with the α-cut property of fuzzy. Kharitonov theorem is used for fuzzy polynomial and stability analysis is done by using the Lyapunov-Popov method. The proposed method is applied to a real time process control.","PeriodicalId":374882,"journal":{"name":"Int. J. Auton. Comput.","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116382386","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
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