{"title":"A REVIEW ON SPIDER ROBOTIC SYSTEM","authors":"M. Çavaş, Muhammad Baballe Ahmad","doi":"10.17781/p002604","DOIUrl":"https://doi.org/10.17781/p002604","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"41 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":"130120745","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}
M. Hussin, Nor Azura Husin Noris Mohd. Norowi Raja Azlina Raja Mahmood
Cloud computing becomes a powerful trend in the development of ICT services. It allows dynamic resource scaling from infinite resource pool for supporting Cloud users. Such scenario leads to necessity of larger size of computing infrastructure and increases processing power. Demand on the cloud computing is continually growth that makes it changes to scope of green cloud computing. It aims to reduce energy consumption in Cloud computing while maintaining a better performance. However, there is lack of performance metric that analyzing trade-off between energy consumption and performance. Considering high volume of mixed users’ requirements and diversity of services offered; an appropriate performance model for achieving better balance between Cloud performance and energy consumption is needed. In this work, we focus on green Cloud Computing through scheduling optimization model. Specifically, we investigate a relationship between performance metrics that chosen in scheduling approaches with energy consumption for energy efficiency. Through such relationship, we develop an energy-based performance model that provides a clear picture on parameter selection in scheduling for effective energy management. We believed that better understanding on how to model the scheduling performance will lead to green Cloud computing.
{"title":"A performance optimization model of task scheduling towards green cloud computing","authors":"M. Hussin, Nor Azura Husin Noris Mohd. Norowi Raja Azlina Raja Mahmood","doi":"10.17781/P002026","DOIUrl":"https://doi.org/10.17781/P002026","url":null,"abstract":"Cloud computing becomes a powerful trend in the development of ICT services. It allows dynamic resource scaling from infinite resource pool for supporting Cloud users. Such scenario leads to necessity of larger size of computing infrastructure and increases processing power. Demand on the cloud computing is continually growth that makes it changes to scope of green cloud computing. It aims to reduce energy consumption in Cloud computing while maintaining a better performance. However, there is lack of performance metric that analyzing trade-off between energy consumption and performance. Considering high volume of mixed users’ requirements and diversity of services offered; an appropriate performance model for achieving better balance between Cloud performance and energy consumption is needed. In this work, we focus on green Cloud Computing through scheduling optimization model. Specifically, we investigate a relationship between performance metrics that chosen in scheduling approaches with energy consumption for energy efficiency. Through such relationship, we develop an energy-based performance model that provides a clear picture on parameter selection in scheduling for effective energy management. We believed that better understanding on how to model the scheduling performance will lead to green Cloud computing.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"546 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":"116243694","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}
In this paper, we investigate the effectiveness of Thread Weight Readjustment Scheduler (TWRS) for multitasking operating systems from the view point of fairness. Fairness is one of the most important criteria in designing any operating system scheduler. TWRS is a proportional share CPU scheduler designed explicitly for scheduling multithreaded processes depending on weight readjustment. We show that weight readjustment enables existing scheduler to significantly reduce, but not eliminate, the unfair in its allocations. TWRS preallocates certain amount of CPU time to each thread of the running multi-threaded processes. The scheduler was implemented and evaluated under specific hardware and software environment. We implement our scheduler in the Linux kernel and demonstrate its efficacy through an experimental evaluation. According to our evaluation results, our scheduler is promising to optimize some scheduling criteria, fairness in this context. We conclude from our results that TWRS is practical and desirable for general-purpose operating systems.
{"title":"EFFECT OF THREAD WEIGHT READJUSTMENT SCHEDULER ON FAIRNESS IN MULTITASKING OS","authors":"S. Mostafa, S. Kusakabe","doi":"10.17781/P0018","DOIUrl":"https://doi.org/10.17781/P0018","url":null,"abstract":"In this paper, we investigate the effectiveness of Thread Weight Readjustment Scheduler (TWRS) for multitasking operating systems from the view point of fairness. Fairness is one of the most important criteria in designing any operating system scheduler. TWRS is a proportional share CPU scheduler designed explicitly for scheduling multithreaded processes depending on weight readjustment. We show that weight readjustment enables existing scheduler to significantly reduce, but not eliminate, the unfair in its allocations. TWRS preallocates certain amount of CPU time to each thread of the running multi-threaded processes. The scheduler was implemented and evaluated under specific hardware and software environment. We implement our scheduler in the Linux kernel and demonstrate its efficacy through an experimental evaluation. According to our evaluation results, our scheduler is promising to optimize some scheduling criteria, fairness in this context. We conclude from our results that TWRS is practical and desirable for general-purpose operating systems.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","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":"125905430","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}
{"title":"A Finger-Mounted Haptic Device with Plane Interface","authors":"M. Yoda, H. Imamura","doi":"10.17781/P002377","DOIUrl":"https://doi.org/10.17781/P002377","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"43 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":"115103264","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}
The goal of the article was to examine the relationship between the content of text documents published on the Internet and the direction of movement of stock prices on the Prague Stock Exchange. The relationship was modeled by text classification. As data were used news articles and discussion posts on Czech websites and the value of the PX stock index and stock price of company CEZ. Document’s class (plus/minus/constant) was determined by the relative price change that happened between the publication date of a document and the next working day. We achieved a high accuracy of 75% for classification of discussion posts, however the classification accuracy for news articles was about 60%. We tried both binary (documents with constant class were discarded) and ternary classification – the former was in all cases more successful.
{"title":"Examining Stock Price Movements on Prague Stock Exchange Using Text Classification","authors":"Jonás Petrovský, Frantisek Darena Pavel Netolický","doi":"10.17781/P002293","DOIUrl":"https://doi.org/10.17781/P002293","url":null,"abstract":"The goal of the article was to examine the relationship between the content of text documents published on the Internet and the direction of movement of stock prices on the Prague Stock Exchange. The relationship was modeled by text classification. As data were used news articles and discussion posts on Czech websites and the value of the PX stock index and stock price of company CEZ. Document’s class (plus/minus/constant) was determined by the relative price change that happened between the publication date of a document and the next working day. We achieved a high accuracy of 75% for classification of discussion posts, however the classification accuracy for news articles was about 60%. We tried both binary (documents with constant class were discarded) and ternary classification – the former was in all cases more successful.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"42 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":"129621410","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}
Multimedia streaming is the evergreen technology brings quality on-demand and live media content to the end consumer. Streaming enables the users to view real time multimedia content on-the-go at anywhere, any time. The quality of service is a major concern in the increasing network traffic and high demand in media bit rate streaming. An adaptive streaming technique provides innovation compare to the conventional streaming models by dynamically selecting the media bit rate based on the network variation and processing capability to ensure the best quality of service. However traditional environment streaming service suffers with network delay, low quality performance and high cost. With the aid of Cloud, streaming delivers the content at the edges with very minimal delays on pay-for-use model. In this paper, we focus on the comprehensive analysis of various cloud based streaming methods with underlying architecture and compare the performance of cloud based streaming with conventional streaming model. The experiment results shows that cloud based streaming delivery outperforms in terms of throughput, packet delivery and effective use of the network bandwidth under similar network conditions.
{"title":"NETWORK PERFORMANCE ANALYSIS OF CLOUD BASED MULTIMEDIA STREAMING SERVICE","authors":"S. Kesavan, J. Jayakumar","doi":"10.17781/P0015","DOIUrl":"https://doi.org/10.17781/P0015","url":null,"abstract":"Multimedia streaming is the evergreen technology brings quality on-demand and live media content to the end consumer. Streaming enables the users to view real time multimedia content on-the-go at anywhere, any time. The quality of service is a major concern in the increasing network traffic and high demand in media bit rate streaming. An adaptive streaming technique provides innovation compare to the conventional streaming models by dynamically selecting the media bit rate based on the network variation and processing capability to ensure the best quality of service. However traditional environment streaming service suffers with network delay, low quality performance and high cost. With the aid of Cloud, streaming delivers the content at the edges with very minimal delays on pay-for-use model. In this paper, we focus on the comprehensive analysis of various cloud based streaming methods with underlying architecture and compare the performance of cloud based streaming with conventional streaming model. The experiment results shows that cloud based streaming delivery outperforms in terms of throughput, packet delivery and effective use of the network bandwidth under similar network conditions.","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"11 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":"124935431","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}
{"title":"A REVIEW ADVANCEMENT OF SECURITY ALARM SYSTEM USING INTERNET OF THINGS (IoT)","authors":"M. Çavaş, Muhammad Baballe Ahmad","doi":"10.17781/p002617","DOIUrl":"https://doi.org/10.17781/p002617","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","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":"122609087","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}
Masashi Sugimoto, MasasHiroya Yashiro, Kazuma Nishimura, S. Tsuzuki, K. Kurashige
{"title":"A Study for Improvement for Reinforcement Learning based on Knowledge\u0000Sharing Method — Adaptability to a situation of intermingled of complete and incomplete perception under an maze—","authors":"Masashi Sugimoto, MasasHiroya Yashiro, Kazuma Nishimura, S. Tsuzuki, K. Kurashige","doi":"10.17781/p002629","DOIUrl":"https://doi.org/10.17781/p002629","url":null,"abstract":"","PeriodicalId":211757,"journal":{"name":"International journal of new computer architectures and their applications","volume":"272 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":"122767246","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}