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共 1401 条记录，以下是131-140 订阅

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Innovative paradigm of smart development: cloud and IoT 2

Innovative paradigm of smart development: Cloud and IoT

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2nd international conference on Data, engineering and Applications, IDEA 2020

作者： Mangal, Anu Pandey, Sapna Rohit, Gourav Jain, Isha UIT-RGPV Department of Electronics and Communication Engineering Bhopal India

ISBN: (纸本)9781728157184

This IoT is the smart connection between things and devices for the betterment of economic growth and sustainable development. cloud computing is the evolution of parallel processing, parallel computing, matrix computing and paperless technological advancement which put forward the world to turn over a new leaf of development. This paper illustrates the interconnection between IoT and cloud, their interoperability and how they can mutually between each other. IoT diversifies the range of cloud and on the other hand cloud's huge storage capability can prove highly advantageous to IoT. Hence IoT and cloud go hand-in-hand for mutual benefits and effectiveness. This paper demonstrates evolution of cloud and IoT, their integration, infrastructure and applications. Also, challenges faced by IoT and cloud and their possible solutions are discussed at the end. © 2020 IEEE.

关键词： Economics

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Real-Time Edge computing Services for Internet of Things-based cloud Networks 2

Real-Time Edge Computing Services for Internet of Things-bas...

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2nd international conference on Artificial Intelligence and Machine Learning Applications, AIMLA 2024

作者： Srivastava, Manish Sunil, M.P. Marandi, Arun Kumar Vivekananda Global University Department of Electrical Engineering Jaipur India School of Engineering and Technology Department of Electronics and Communication Engineering Karnataka Bangalore India ARKA JAIN University Department of Computer Science & IT Jharkhand Jamshedpur India

ISBN: (纸本)9798350349221

The Internet of Things (IoT) has enabled the development of the real-time edge computing institute for distributed cloud networks. This technology makes it possible for devices connected to the cloud to process elevens and respond to problems or requests in a timely manner. Edge computing provides a distributed, low-latency platform for elevens processing at the edge of the network, closer to the point where elevens bestial collected. Spill a result, this reduces the cost associated with cloud-based services while also minimizing the latency, ensuring fast and reliable responsiveness. Furthermore, edge computing provides a verging for performing complex analytics and machine learning tasks at the edge of the cloud network, reducing the burden on cloud-based institute. This allows distributed cloud networks to scale easily, with reliability and scalability maintained through edge computing. © 2024 IEEE.

关键词： Edge computing

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A cloud Data Center Optimization Approach Using Dynamic Data Interchanges

A Cloud Data Center Optimization Approach Using Dynamic Data...

引用

2nd IEEE international conference on cloud Networking (cloudNet)

作者： Rappos, Efstratios Robert, Stephan Riedi, Rudolf H. Univ Appl Sci Western Switzerland Inst Informat & Commun Technol Haute Ecole Ingn & Geston Canton Vaud CH-1401 Yverdon Switzerland Univ Appl Sci Western Switzerland Ecole Ingenieurs & Architectes Fribourg Dept Telecommun CH-1705 Fribourg Switzerland

ISBN: (纸本)9781479905683

distributed data center architectures have been recently developed for a more efficient and economical storage of data. In many models of distributed storage, the aim is to store the data in such a way so that the storage costs are minimized and increased redundancy requirements are maintained. However, many approaches do not fully consider issues relating to delivering the data to the end user and the associated costs that this creates. We present an integer programming optimization model for determining the optimal allocation of data components among a network of cloud data servers in such a way that the total costs of additional storage, estimated data retrieval costs and network delay penalties is minimized. The method is suitable for periodic dynamic reconfiguration of the cloud data servers, so that the when localized data request spikes occur the data can be moved to a closer or cheaper data server for cost reduction and increased efficiency.

关键词： cache storage grid computing mathematical programming

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On the migration of the scientific code Dyana from SMPs to clusters of PCs and on to the grid

On the migration of the scientific code Dyana from SMPs to c...

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2nd IEEE/ACM international Symposium on Cluster computing and the grid

作者： Taufer, M Stricker, T Roos, G Güntert, P ETH Zentrum Dept Comp Sci CH-8092 Zurich Switzerland

ISBN: (纸本)0769515827

Dyana is a molecular biology code used in the study of infectious prion proteins. Like many, other scientific codes, Dyana was migrated successfully from vector supercomputers to some more cost-effective cluster of commodity PCs. A further migration to a widely distributed grid computing platform looks very tempting because many of these platforms promise the use of nearly free compute-cycles on the Internet. Not all codes are equally suited for all platforms. Even embarrassingly parallel codes might require a significant re-engineering effort for a migration from one platform to another A better understanding of the performance characteristics of a code is required before a migration is attempted. To address this problem, we present a systematic method to study the viability of a code migration from one platform to another, before it is actually undertaken. We construct an analytic performance model of the application. We use the previous migration from SMPs to commodity clusters of PCs to validate and calibrate the model. Finally, we extrapolate the performance of Dyana widely distributed computing on the grid and we suggest optimizations in the process of migration. Our general model predicts that Dyana can efficiently use up to 42000 processors with its current workload and is therefore well suited for grid computing on the Internet.

关键词： performance evaluation and modeling computation-intensive applications widely distributed supercomputing migration of scientific codes software engineering grid architectures

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cloud-based parallel Suffix Array Construction based on MPI

Cloud-based Parallel Suffix Array Construction based on MPI

引用

2nd Middle East conference on Biomedical engineering (MECBME)

作者： Abdelhadi, Ahmed Kandil, A. H. Abouelhoda, Mohamed Cairo Univ Fac Engn Syst & Biomed Engn Dept Giza 12211 Egypt Nile Univ Ctr Informat Sci Giza Egypt

ISBN: (纸本)9781479947997

Massive amount of genomics data are being produced nowadays by Next Generation Sequencing machines. The suffix array is currently the best choice for indexing genomics data, because of its efficiency and large number of applications. In this paper, we address the problem of constructing the suffix array on computer cluster in the cloud. We present a solution that automates the establishment of a computer cluster in a cloud and automatically constructs the suffix array in a distributed fashion over the cluster nodes. This has the advantage of encapsulating all set-up details and execution of the algorithm. The distributed nature of the algorithm we use overcomes the problem that arises when the user wishes, due to cost issues, to use low memory machines in the cloud. Our experiments show that our implementation scales well with the increasing number of processors. The cloud cost is affordable and it provides a cost effective solution.

关键词： Suffix Array distributed computing cloud computing

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Deterministic 1-2 Skip List in distributed System

Deterministic 1-2 Skip List in Distributed System

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2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Mandal, Subhrangsu Chakraborty, Sandip Karmakar, Sushanta Indian Inst Technol Guwahati Dept Comp Sci & Engn Gauhati Assam India

ISBN: (纸本)9781467329255;9781467329224

Searching data efficiently in distributed applications like peer-to-peer system is a challenging task due to the random distribution of data among several participating nodes. Efficient data structures are designed and implemented to reduce the complexity of data searching in such an environment. In this paper a data structure called deterministic 1-2. skip list has been proposed as a solution for search problems In distributed environment. The data structure has three main operations viz. search, insert, and delete. The detailed description of the insertion, deletion and search operations are given in this paper. It is found that the message complexity of the insertion, deletion and search algorithm is O(logn) where n is the total number of nodes in the skip-list.

关键词： Data structures

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A Survey of Security Concerns, Mechanisms and Testing in cloud Environment 2

A Survey of Security Concerns, Mechanisms and Testing in Clo...

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2nd international conference on Electronics, Communication and Aerospace Technology, ICECA 2018

作者： Pillutla, Harikrishna Arjunan, Amuthan Department of Computer Science and Engineering Pondicherry Engineering College Pondicherry India

ISBN: (纸本)9781538609651

distributed computing is a form of computing in which a group of independent systems are connected to a computer network. cloud computing is one of the emerging domain in the field of Computer Science. With the help of cloud computing, the computing services can be delivered over the internet. Before the advent of cloud computing, the business applications were found to be complicated, expensive and the software and hardware requirements of these applications were daunting. These issues were resolved in cloud computing since the hardware and software are maintained by the cloud vendors. Another advantage of using cloud computing is that it follows pay-per-use technology which means that the user only pays for the resources he/ she consumes. The main goal of the security principles in cloud computing is to ensure that the Confidentiality, Integrity, and Availability of the data are preserved. This paper presents an extensive survey of the security threats;its countermeasures and testing that are available in cloud computing. © 2018 IEEE.

关键词： Application programs

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cloud computing Digital Forensic challenges 2

Cloud Computing Digital Forensic challenges

引用

2nd international conference on Electronics, Communication and Aerospace Technology, ICECA 2018

作者： Neware, Rahul Khan, Amreen Computer Science and Engineering G. H. Raisoni College of Engineering Nagpur India

ISBN: (纸本)9781538609651

cloud computing is ubiquitous and very recent trend in computer technology. Everyday inventions carried out in cloud computing. cloud computing is developed to overcome and solve the traditional computer system problems by resource pooling capability, Elasticity, Self and on-demand services, low cost for accessing, Quality of service etc. By providing this features cloud computing is very famous but there are various cloud computing security issues like data breach, integrity, data confidentiality etc are arises and this all are challenges to the Digital forensic to collect evidences for such attacks in cloud environment where are the things are distributed. This paper gives various digital forensic challenges while collecting evidence of attack in cloud computing. © 2018 IEEE.

关键词： Virtualization

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Detection of Intrusion Using Evolutionary Soft computing Techniques

Detection of Intrusion Using Evolutionary Soft Computing Tec...

引用

2nd IEEE international conference on parallel, distributed and grid computing (PDGC)

作者： Arya, Akansha Yadav, Aruna Kumar, Sanjeev Krishna Inst Engn & Technol Dept Comp Sci & Engn Ghaziabad India

ISBN: (纸本)9781467329255;9781467329224

An intrusion detection system has the ability to detect known as well as unknown attacks. Conventionally, IDS uses association rules and simple partitioning scheme to handle quantitative data. Fuzzy partitioning scheme found to overcome the problem of vagueness of boundary and association rules are also replaced with fuzzy class association rules. Evolutionary algorithms do global search in order to discover new interesting classification rules. GNP is found better than other evolutionary algorithms due to its structure. This paper describes how evolutionary computing technologies are better to build a classifier with minimum number of class association rules and maximizing accuracy of classified patterns in intrusion detection problem.

关键词： Data Mining Evolutionary Computation Fuzzy Classification rules IDS

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Establishing the state of the art knowledge domain of cloud computing 2nd

Establishing the state of the art knowledge domain of cloud ...

引用

2nd international conference on Communication and Computer engineering, ICOCOE 2015

作者： Khalid, Madiha Yousaf, Muhammad Murtaza Iftikhar, Yousra Fatima, Noreen Punjab University College of Information Technology University of the Punjab Lahore Pakistan Oxford University Press Oxford United Kingdom i2c Inc Lahore Pakistan

ISBN: (纸本)9783319245829

cloud is an inflection point for customers to transit the burden of infrastructure and platform management to a service provider. There is virtual centralization in cloud computing. This paper provides the state of the art knowledge domain of cloud to developers and researchers. It gives a brief overview of cloud computing and how it relates with grid, cluster, distributed, parallel and GPU computing. We have surveyed different cloud deployment models and essential characteristics of cloud that are required to build cloud architecture. A state of the art study is presented that explores several cloud architectures including discussion of applications, platforms and shared infrastructure of cloud that unveils the sharing mechanism of physical services, networking capabilities and storage. Furthermore, this study covers the primary business service models for instance Infrastructure as a Service (IaaS), Platform as a service (PaaS) and software as a service (SaaS) with vendors of each layer. On the other hand some issues of clouds are also highlighted such as availability of cloud and challenges which include issues regarding security, lack of standards, privacy and location concerns. We analyze several cloud architectures on multiple performance measuring parameters such as scalability, security, cost, performance, reliability, maintenance, and mobile accessibility. © Springer international Publishing Switzerland 2016.

关键词： cloud computing architecture

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