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检索条件"任意字段=2nd International Conference on Distributed Computing and Internet Technology, ICDCIT 2005"

共 386 条记录，以下是61-70 订阅

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2020 2nd international conference on Embedded and distributed Systems, EDiS 2020

2020 2nd International Conference on Embedded and Distribute...

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2nd international conference on Embedded and distributed Systems, EDiS 2020

ISBN: (纸本)9781728175034

The proceedings contain 30 papers. The topics discussed include: versatile software framework for the monitoring and control of distributed computing systems;a new levy flight trajectory-based grasshopper optimization algorithm for multi-objective optimization problems;quality of context in the internet of things: parameters and models;the impact of products exchange in multi-levels multi-products distribution network;multiuser access via OFDMA technology in high density IEEE 802.11ax WLANs: a survey;and dynamic clustering approach for run-time applications mapping on NoC-based multi/many-core systems.

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On high-precision measurement of network performance in grid environments

On high-precision measurement of network performance in grid...

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2nd IASTED international Multi-conference on Automation, Control, and Information technology

作者： Siemens, E Grimm, C Univ Hannover Reg Sci Comp Ctr Lower Saxony D-30167 Hannover Germany

ISBN: (纸本)0889864926

In this paper we present our approach of a distributed environment for high-precision and high bitrate network measurements. These measurements can be performed on a standard PC system without changes in the kernel of the operating system. Unique features of our system are support of measurements in a distributed manner as well as using different packet sampling models for measurement data flows. In addition, bounds of measurement accuracy on non real-time operation systems as well as a proof of concept are drawn. The shown measurement approach is essentially suited for estimating quality of Grid and realtime multimedia applications in the internet.

关键词： end-to-end network performance one-way elay (OWD) measurement measurement accuracy real-time applications grid computing

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Protection and Utilization of Personal Information in the Context of Big Data 2

Protection and Utilization of Personal Information in the Co...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Jiang, Yu Ye, Jun Zhang, Zhengqi Hainan University Key Laboratory of Internet Information Retrieval of Hainan Province School of Cyberspace Security Haikou China Shanwei Institute of Technology Shanwei China Key Laboratory of Internet Information Retrieval of Hainan Province Haikou China

ISBN: (纸本)9798350347456

With the innovation of technology, the amount of data has doubled and people have entered the era of big data. As one of the important resources, the economic and social value of data is increasing, but in the process of sharing, processing, circulation, and use of data, how to achieve a balance between the protection and utilization has become a key issue affecting national security today. Firstly, this paper presents the significance of this research based on the analysis of high-profile cases in recent years;Secondly, the current situation at national and international will be analyzed in two directions;national legislation and technical research;Thirdly, a summary of current problems. Finally, solutions are proposed on how to achieve the protection and use of personal information. © 2023 IEEE.

关键词： Big data

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Offloading Methodologies for Energy consumption in Mobile Edge computing 2

Offloading Methodologies for Energy consumption in Mobile Ed...

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2nd international conference on Smart Electronics and Communication, ICOSEC 2021

作者： Saranya, G. Sasikala, E. SRM Institute of Science and Technology Department of Computer Science and Engineering Ramapuram Chennai India SRM Institute of Science and Technology Department of Computer Science and Engineering Kattankulathur Chennai India

ISBN: (纸本)9781665433686

Edge computing is a pioneering network that allows enterprises to clear out from the constraints exploited by standard cloud computing services. Despite the fact that public cloud continues to play a vital role in modern network engineering, the fascinating possibilities offered by internet of Things devices, which can process information near the source, are prompting companies to rethink their IT services. This architecture was spawned by the fact that most devices near the edge lacked the processing power and storage space to analyze or process the data they collected. To overcome this issue, Offloading computations in MEC (mobile edge computing) is needed. Particularly, the types of offloading such as partial offloading, full offloading and distributed offloading may be applied to save energy and speed up the computation process. It includes various techniques like game theory approach, DNN based offloading etc. The computation offloading decision can be made based on tasks allocated for the processing to enhance results of the edge computing systems. The objective of this review will be improving the computation offloading where it will increase the operational performance of the edge devices to the greater extent. © 2021 IEEE.

关键词： computation offloading

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On the Application of Privacy computing in the Field of National Cyberspace Security 2

On the Application of Privacy Computing in the Field of Nati...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Zhou, Ying Ye, Jun Zhang, Zhengqi Hainan University Key Laboratory of Internet Information Retrieval of Hainan Province School of Cyberspace Security Haikou China Shanwei Institute of Technology Shanwei China Key Laboratory of Internet Information Retrieval of Hainan Province Haikou China

ISBN: (纸本)9798350347456

Privacy computing technology means the collection of technologies that realize data analysis and calculation under the premise of protecting the data itself from external leakage, in order to realize the transformation and release of data value. Privacy computing is applied in different fields such as finance and medical care to assist the technological innovation of the industry. With the continuous virtualization of the cyber world, national cyberspace security has become the focus of development, and the country needs to mine data and establish a market for data elements, and the security of data has become a top priority. In this study, we analyze the present situation of the development of privacy computing technology, including the development status of secure multi-party computing technology, federal learning technology, and trusted execution environment technology, and explore the feasibility of applying privacy computing technology to the national cyberspace security field based on the application of privacy computing technology in several fields, which ensures the reliability of data in the process of data element market circulation, under the Data Security Act With the strong support of the Data Security Act, it is the future development trend to study the integration of a multi-functional new privacy computing technology with the national spatial security field, which is also a strong guarantee to promote people's privacy security and national stability. © 2023 IEEE.

关键词： Metadata

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Nature Inspired Load Balancing Algorithms- A Review 2

Nature Inspired Load Balancing Algorithms- A Review

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2nd international conference on Power Energy Environment and Intelligent Control, PEEIC 2019

作者： Khanam, Shaheen Hasan, Muzammil MMMUT Department of Computer Science and Engineering Gorakhpur India

ISBN: (纸本)9781728117935

Cloud computing is a new paradigm for distributed large scale computing over internet. It is a constantly developing technology providing innovative drift in computing using virtualization of resources. Thus, along with having many advantages there remain some critical concerns that are needed to be resolved to develop the dependability and consistency of cloud. With the introduction of newer applications results in constant increase of load on the cloud servers. Due to this increase in the load, efficient utilization of the resources becomes difficult and as a result it becomes necessary to introduce the concept of load balancing. The principal objective of load balancing includes distribution of the load equally among various nodes of distributed computing environment such that these nodes are neither overloaded nor under loaded resulting in proper resource utilization and improved response time. In this paper we have done a comprehensive summary of load balancing algorithms available for cloud computing which are inspired by natural phenomenon for resolving the issues associated with the load balancing. © 2019 IEEE.

关键词： Cloud computing

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A Hybrid Clock Synchronization Architecture for Many-core Cluster System Based on GPS and IEEE 1588 2

A Hybrid Clock Synchronization Architecture for Many-core Cl...

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2nd IEEE international conference on Computer and Communications (ICCC)

作者： Gao, Fang Huang, Zhangqin Wang, Shulong Wang, Zheng Beijing Univ Technol Beijing Beijing Adv Innovat Ctr Future Internet Technol Beijing Peoples R China Beijing Univ Technol Beijing Beijing Engn Res Ctr IoT Software & Syst Beijing Peoples R China

ISBN: (纸本)9781467390262

Time consistency of each node and each core is one of the kernel problems that must be addressed to promote the development of many-core cluster system that keeps the distributed system in step, and it is the basis of performance evaluation. In this study, a new model of hybrid time synchronization architecture was established to improve the precision of internal clock synchronization of a many-core cluster and the accuracy of time. First, some clock synchronization method was compared for clock synchronization model decision. Second, a high precision time acquire method based on was explored. Third, a hybrid clock synchronization and time acquire architecture on cluster system was designed to enhance the time precision and internal clock consistency. Finally, the architecture was implemented on a Zynq SoC and Epiphany many-core processor combined platform. An experiment was conducted to evaluate the precision and accuracy of this architecture. The result shows that the hybrid architecture achieved a higher level time precision and internal clock consistency than common clock synchronization method like NTP. And result demonstrates the promising application of the proposed architecture in study many-core cluster system and in supplying reliable time reference for the evaluation of distributed system performance.

关键词： time synchronization distributed computing high performance embedded computing IEEE 1588 NTP

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A distributed Security Protocol Designed for the Context of internet of Things 18

A Distributed Security Protocol Designed for the Context of ...

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2nd international conference on Future Networks and distributed Systems (ICFndS)

作者： Laouid, Abdelkader AlShaikh, Muath Lalem, Farid Bounceur, Ahcene Euler, Reinhardt Bezoui, Madani Aissaoua, Habib Tari, Abdelkamel Univ El Oued El Oued Algeria Univ Western Brittany UBO Lab STICC UMR CNRS 6285 Brest France Univ Boumerdes Dept Math Boumerdes Algeria Univ Setif Dept Comp Sci Setif Algeria Univ Bejaia Bejaia Algeria

ISBN: (纸本)9781450364287

In the field of internet of Things (IoT), many encryption protocols for distributed wireless communication technology have been proposed for use in various applications such as monitoring, healthcare, product management, workplace, home support and surveillance [1]. An IoT system can be looked at as a highly dynamic distributed and networked system composed of a large number of smart devices. In fact, such connected devices suffer from the limitation of resources in terms of computing, energy, bandwidth and storage. Hence, IoT application scenarios require methods to adapt to highly diverse contexts with different available resources and possibly dynamic environments. In this paper, we address these issues by proposing an efficient technique for data protection in the context of IoT. A distributed network architecture is used, where each node is in charge to deliver and/or forward data. The aim is to use efficient operations to protect the exchanged data. The proposed technique ensures the exchanged data to be effectively and securely controlled with a low overhead compared to the classical approaches. The proposed protocol shows its efficiency in terms of overhead, speed, energy and security measurements.

关键词： IoT distributed algorithms Security

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Optimal Task Scheduling in Cloud computing Environment: Meta Heuristic Approaches 2

Optimal Task Scheduling in Cloud Computing Environment: Meta...

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2nd international conference on Electrical Information and Communication technology (EICT 2015)

作者： Mandal, Tripti Acharyya, Sriyankar West Bengal Univ Technol Comp Sci & Engn Kolkata W Bengal India

ISBN: (纸本)9781467392570

Cloud computing is the latest continuation of parallel computing, distributed computing and grid computing. In this system, user can make use of different services like storage, servers and other applications. Cloud resources are not only used by numerous users but are also dynamically redistributed on demand. Requested services are delivered to user's computers and devices through the internet. The fundamental issue in cloud computing system is related to task scheduling where a scheduler finds an optimal solution in cost-effective manner. Task scheduling issue is mainly focus on to find the best or optimal resources in order to minimize the total processing time of Virtual Machines (VMs). Cloud task scheduling is an NP-hard problem. The focus is on increasing the efficient use of the shared resources. A number of meta-heuristic algorithms have been implemented to solve this issue. In this work three meta-heuristic techniques such as Simulated Annealing, Firefly Algorithm and Cuckoo Search Algorithm have been implemented to find an optimal solution. The main goal of these algorithms is to minimize the overall processing time of the VMs which execute a set of tasks. The experimental result shows that Firefly Algorithm (FFA) performs better than Simulated Annealing and Cuckoo Search Algorithm.

关键词： Cloud computing Task Scheduling Simulated Annealing Firefly Algorithm Cuckoo Search Algorithm

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Detecting IoT Attacks using Multi-Layer Data Through Machine Learning 2

Detecting IoT Attacks using Multi-Layer Data Through Machine...

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2nd international conference on distributed computing and High Performance computing (DCHPC)

作者： Alam, Hina Yaqub, Muhammad Shaharyar Nadir, Ibrahim Univ Management & Technol Lahore Pakistan Lahore Univ Management Sci Lahore Pakistan Natl Univ Comp & Emerging Sci Lahore Pakistan

ISBN: (纸本)9781665496728

internet of Things (IoT) devices is being used in countless network applications. However, due to their insecure nature, the wide adoption of these devices has also increased the possibility of cyber-attacks. There is a need for a robust security mechanism to detect and safeguard against numerous threats. Machine Learning (ML) techniques have been used to detect attacks on different networking layers but training only the network, transport, or link-layer data has proven to be inadequate. Thus, opening paths for attackers to take control and penetrate the networks. Leveraging from this inadequacy, we have employed Machine Learning technology to detect attacks on IoT devices using the application, transport, and network layer data. In particular, we have focused on feature extraction of Application layer data to identify nefariousness in packets. Furthermore, for packet classification, we are also extracting features from the network layer and transport layer. Our simulation results have promised accuracy of 88% and 92% using different ML algorithms. We have also identified possible future work that can be used to validate the solution.

关键词： IoT internet artificial intelligence machine learning pcap datagram network traffic packet malware malicious benign

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