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Survey on Workflow Scheduling of Scientific Processes using Cloud Technology 2

Survey on Workflow Scheduling of Scientific Processes using ...

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2nd IEEE international conference on contemporary computing and informatics (IC3I)

作者： Rani, B. Kezia Babu, A. Vinaya JNTU Hyderabad Coll Engn Dept Comp Sci & Engn Hyderabad Andhra Pradesh India Stanley Coll Engn & Technol Women Dept Comp Sci & Engn Hyderabad Andhra Pradesh India

ISBN: (纸本)9781509052561

Scientific and research applications, Big data applications work on huge data sets and often comprise of several tasks depending on the application. To execute these applications, Cloud technology is best suitable because of the scalability and elasticity features along with pay according to the usage of Cloud resources. Resource Allocation in a cloud is a significant area in Cloud computing as the cloud is a collection of software and hardware resources and the resources in the cloud are allocated to the users on a pay for what you use model. It is important to allocate resources in an efficient manner to reduce the cost for user, satisfy the SLA, and cater to the requirements of more number of users. Scheduling and optimization play an important role in resource utilization, faster execution and minimizing the cost incurred in executing these applications. This paper presents the survey on the research done in this area along with the criteria and algorithms selected.

关键词： Cloud computing Workflow Scheduling Optimization Resource Allocation Hybrid Cloud Execution Cost Execution Time Deadlines

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Cognitive informatics: Towards future generation computers that think and feel

Cognitive informatics: Towards future generation computers t...

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5th IEEE international conference on Cognitive informatics (ICCI 2006)

作者： Wang, Yingxu Univ Calgary Schulich Sch Engn Dept Elect & Comp Engn Int Ctr Cognit Informat ICfCI Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781424404759

This keynote lecture presents a set of the latest advances in Cognitive informatics (Cl) that leads to the design and implementation of future generation computers known as the cognitive computers that are capable of thinking and feeling. The theory and philosophy behind the next generation computers and computing technologies are Cl. The theoretical framework of Cl may be classified as an entire set of cognitive functions and processes of the brain and an enriched set of descriptive mathematics. the cognitive computers are created for cognitive and perceptible concept/knowledge processing based on contemporary mathematics such as Concept Algebra, Real-Time Process Algebra, and System Algebra. Because the cognitive computers implement the fundamental cognitive processes of the natural intelligence such as the learning, thinking, formal inference, and perception processes, they are novel information processing systems that think and feel. The cognitive computers are centered by the parallel inference engine and perception engine that implement autonomic learning/reasoning and perception mechanisms based on descriptive mathematics.

关键词： cognitive informatics descriptive mathematics computer architectures autonomic computing agent systems cognitive models cognitive processes natural intelligence neural informatics

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Optimizing Virtual Machine Placement in Cloud computing Environments: A Comparative Study and Novel Approach 7

Optimizing Virtual Machine Placement in Cloud Computing Envi...

引用

7th international conference on contemporary computing and informatics, IC3I 2024

作者： Rana, Tuba Amir Rawat, Pradeep Singh Singh, Akshay Thapliyal, Unnati Dit University School of Computing Uttarakhand Dehradun India

ISBN: (纸本)9798350350067

Cloud computing has emerged as a transformative paradigm in the realm of information technology, offering scalable and on-demand access to computing resources over the internet. Effective resource management is crucial in cloud environments to ensure optimal performance, minimize energy consumption, and meet service level agreements (SLAs). This paper presents a comprehensive study of various resource optimization techniques in cloud computing, including DVFS, IQRMC, MADMU. Through extensive simulations and analysis, we evaluate the performance of these techniques in terms of resource utilization, energy efficiency, no. of VM migrations, execution time, stimulation time, and SLA adherence. Furthermore, we propose a novel VM placement algorithm, First Fit, and compare its effectiveness with existing approaches. The findings of this study provide valuable insights into the optimization of resource management in cloud computing environments and contribute to the ongoing research in this field. © 2024 IEEE.

关键词： Cloud computing Energy Efficiency Resource Optimization Virtual Machine Workload Management

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Social computing: Its Evolving Definition and Modeling in the Context of Collective Intelligence

Social Computing: Its Evolving Definition and Modeling in th...

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ASE international conference on Social informatics (Socialinformatics)

作者： Masunaga, Yoshifumi Aoyama Gakuin Univ Sch Social Informat Sagamihara Kanagawa 2525258 Japan

ISBN: (纸本)9780769550152;9781479902347

"Social computing" is a keyword in contemporary society. However, if we ask anew what the term social computing means, we realize that its definition, meaning and modeling have not necessarily been clarified. This paper first investigates when questions are raised about "social computing." We find that the oldest Wikipedia article on social computing was written on January 21, 2005. However, it is found that a major rewrite was done on October 17, 2007, which caused a great change in its definition. It seems that the reason for this change is the idea of collective intelligence that has been popularized in James Surowiecki's book, The Wisdom of Crowds. In order to examine how the concept of social computing is accepted by and has infiltrated the web society, we performed an analysis of the search engine results page (SERP) using Google, specifying the search keyword as "social computing." This paper investigates a formal model of social computing, which is described in contrast with the traditional computing scheme. Based on this model, we investigate the relationship between social computing and computer science, and we conclude that the Wikipedia article on social computing that states "social computing is a general term for an area of computer science ..." is inaccurate.

关键词： social computing collective intelligence the wisdom of crowd definition of social computing formal model of social computing Wikipedia Google information-intensive society web 2.0 web society computer science

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Security requirements extraction and classification: A survey 3

Security requirements extraction and classification: A surve...

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3rd international conference on contemporary computing and informatics, IC3I 2018

作者： Kadebu, Prudence Thada, Vikas Chiurunge, Panashe Amity University Gurgaon Aset Pachgaon Manesar Haryana122413 India Zimbabwe Centre for High Performance Computing 630 Churchill Avenue Mount Pleasant Harare Zimbabwe

ISBN: (纸本)9781538668948

Security Requirements Engineering is a very important process in the Software Development Life Cycle (SDLC) with Security Engineering being given profound attention in the development of software. It is imperative to build security within a software product. This ensures that software that is deployed is secure and can withstand attack. The research work explores Security Requirements extraction and classification techniques and application of Machine to the process. Techniques such as Naïve Bayes Classifier, K-NN, Support Vector Machine (SVM), ANN among others have been applied to the various tasks embedded in the process. This research will pave a way to techniques that can aid in the process of Security Requirements extraction and classification. © 2018 IEEE.

关键词： Extraction

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Addressing security challenges in industrial augmented reality systems 15

Addressing security challenges in industrial augmented reali...

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15th IEEE international conference on Industrial informatics (INDIN)

作者： Langfinger, Michael Schneider, Michael Stricker, Didier Schotten, Hans D. Bosch Rexroth AG Res & Dev Lohr Germany TU Kaiserslautern German Res Ctr Artificial Intelligence DFKI Augmented Vis Dept Kaiserslautern Germany TU Kaiserslautern German Res Ctr Artificial Intelligence DFKI Intelligent Networks Dept Kaiserslautern Germany

ISBN: (纸本)9781538608371

In context of Industry 4.0 Augmented Reality (AR) is frequently mentioned as the upcoming interface technology for human-machine communication and collaboration. Many prototypes have already arisen in both the consumer market and in the industrial sector. According to numerous experts it will take only few years until AR will reach the maturity level to be deployed in productive applications. Especially for industrial usage it is required to assess security risks and challenges this new technology implicates. Thereby we focus on plant operators, Original Equipment Manufacturers (OEMs) and component vendors as stakeholders. Starting from several industrial AR use cases and the structure of contemporary AR applications, in this paper we identify security assets worthy of protection and derive the corresponding security goals. Afterwards we elaborate the threats industrial AR applications are exposed to and develop an edge computing architecture for future AR applications which encompasses various measures to reduce security risks for our stakeholders.

关键词： Augmented reality Distributed computing Edge computing Industry 4.0 Security Smart industry Wireless networking

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An Intelligent Intrusion Detection System Based on Ontology 6

An Intelligent Intrusion Detection System Based on Ontology

引用

6th international conference on contemporary computing and informatics, IC3I 2023

作者： Saxena, Ashendra Kumar Preethi, D. College of Computing Science and Information Technology Teerthanker Mahaveer University Uttar Pradesh Moradabad India University Karnataka Bangalore India

ISBN: (纸本)9798350304480

As the scope of wireless sensor networks and its applications are expanding, it also increases the risk of accessing networks by intruders. In this paper, a system to detect intrusion in the network using the concept of ontology has been proposed. It is termed as an intelligent system as it involves construction of ontology and the relationship between sensor nodes in the network has been maintained. The performance of the proposed system is measured with existing detection system having parameters- live nodes, sensor nodes, and patrol nodes, hop and energy (in joules). The evaluation metrics being used are attack estimation rate (AER), false positive rate (FPR) and Accuracy. © 2023 IEEE.

关键词： Intrusion detection system Ontology Sensor nodes and patrol nodes

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Evaluating Current Cloud Security Challenges and IAAS Optimization 7

Evaluating Current Cloud Security Challenges and IAAS Optimi...

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7th international conference on contemporary computing and informatics, IC3I 2024

作者： Charu Mathur, Sandeep Sengar, Alok Singh Noida International University School of Science Uttar Pradesh Greater Noida India Aset Amity University Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

Cloud computing has revolutionized the way organizations manage and utilize computing resources, offering flexibility, scalability, and cost-effectiveness. The move to cloud settings has, however, also raised new security concerns that need to be taken into consideration. This research paper assesses the security risks that Infrastructure as a Service (IaaS) cloud settings now face and investigates possible optimisation techniques to strengthen security posture. This paper explores a number of cloud security topics, such as network security, identity and access control, data protection, and compliance issues. It also examines at how dynamic communication protocols help strengthen security and reduce vulnerabilities. This paper seeks to offer useful insights and recommendations for organisations looking to optimise their IaaS security and maximise the advantages of cloud computing while minimising risks. It does this by analysing current industry trends, best practices, and cutting-edge technology. © 2024 IEEE.

关键词： Cloud security

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AI, IoT and Cloud computing Based Smart Agriculture 5

AI, IoT and Cloud Computing Based Smart Agriculture

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5th international conference on contemporary computing and informatics, IC3I 2022

作者： Baghel, Shaktija Singh Rawat, Poonam Singh, Rajesh Akram, Shaik Vaseem Pandey, Shweta Baghel, Aishwaryvikram Singh Uttaranchal University Law College of Dehradun Dehradun India Uttaranchal University UIT Division of Research & Innvovation Dehradun India

ISBN: (纸本)9798350398267

The burgeoning population of the world is directly proportional to the quantity of food produced in agricultural fields. Considering the emerging challenges in climatic conditions and inefficient agricultural production. It is imperative to smart our agricultural practises. One of the ways to achieve this, is with the implementation of AI with IoT and Cloud computing techniques. It is very pertinent to equip our agricultural practises with the AI with IoT and cloud computing techniques so as to magnify the qualitative and quantitative food production and aid the world population. This review paper provides a brief overview of implantation of AI with IoT and cloud computing techniques in the agriculture practices which in turn will make the agricultural practises smart and efficiently equipped to meet the growing food production requirements. © 2022 IEEE.

关键词： Cloud computing

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Towards a Fuzzy Logical Algebra (FLA) for Formal Inferences in Cognitive computing and Cognitive Robotics 14

Towards a Fuzzy Logical Algebra (FLA) for Formal Inferences ...

引用

14th IEEE international conference on Cognitive informatics and Cognitive computing (ICCI*CC)

作者： Wang, Yingxu Univ Calgary Int Inst Cognit Informat & Cognit Comp ICIC 2500 Univ Dr NW Calgary AB T2N 1N4 Canada Univ Calgary Lab Computat Intelligence & Software Sci Dept Elect & Comp Engn Schulich Sch Engn Calgary AB T2N 1N4 Canada Univ Calgary Hotchkiss Brain Inst Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781467372909

The fuzzy and algebraic treatment of the hyperstructured logical variables and complex logical expressions are centric in inference methodologies of many contemporary disciplines such as cognitive infonnatics, cognitive computing, computational linguistics, cognitive semantics, causal inferences, computing with words, cognitive robotics, and computational intelligence. This paper presents a denotational mathematics of fuzzy logical algebra and a formal theory for cognitive inference systems. Fuzzy logical propositions are formally modeled based on fuzzy logical expressions and variables. An algebraic structure of extended fuzzy logic is created by a set of algebraic operators on formal fuzzy propositions. Fuzzy logical algebra provides a denotational mathematical means for algebraic manipulations of fuzzy logical expressions. A set of insightful and interesting properties of fuzzy logical algebra is revealed.

关键词： Cognitive informatics fuzzy logical algebra denotational mathematics cognitive linguistics semantic algebra formal semantics dialectics cognitive computing computational linguistics semantic computing cognitive systems

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