找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Autonomic Computing in Cloud Resource Management in Industry 4.0; Tanupriya Choudhury,Bhupesh Kumar Dewangan,Nguyen Book 2021 Springer Na

[復(fù)制鏈接]
樓主: gratuity
31#
發(fā)表于 2025-3-26 23:09:19 | 只看該作者
A Holistic Approach: Issues and Challengesin Autonomic Computation Toward Industry 4.0,4.0 such as (1) interoperability of data in open ecosystems, (2) autonomous decision-making capabilities, (3) efficient design to promise safety and sustainability, and (4) market risks and vulnerability associated with the malicious attacks.
32#
發(fā)表于 2025-3-27 03:09:06 | 只看該作者
33#
發(fā)表于 2025-3-27 09:16:57 | 只看該作者
Classification of Various Scheduling Approaches for Resource Management System in Cloud Computing,arious apparatuses and test systems accessible for research in the booking are likewise talked about. The diverse ideal techniques for distributing the resources utilized by the significant cloud suppliers in the business are canvassed in detail. With the approach of fourth modern unrest, numerous n
34#
發(fā)表于 2025-3-27 12:38:43 | 只看該作者
35#
發(fā)表于 2025-3-27 13:44:44 | 只看該作者
36#
發(fā)表于 2025-3-27 19:59:12 | 只看該作者
Self-Protection Approach for Cloud Computing,curement of cloud services. These issues such as privacy, network security, and so on, will give rise to cybercrime. In India, there is no devoted regulatory framework, lack of privacy laws, inadequate data security, and so on, to maintain the same. The author will discuss (1) concept of cloud secur
37#
發(fā)表于 2025-3-27 23:46:02 | 只看該作者
Elastic Security for Autonomic Computing Using Intelligent Algorithm,ly applied to cloud environments. It is essential to secure the resources in cloud computing using cryptography operations as well as the key that secures the resources. The chapter addresses how key management is playing an important role in providing security of the cloud. The chapter mentions how
38#
發(fā)表于 2025-3-28 05:35:37 | 只看該作者
39#
發(fā)表于 2025-3-28 10:05:17 | 只看該作者
Towards Industry 4.0 Through Cloud Resource Management,rmance parameters assures the efficient management of resources. The chapter enlightens the concept of resource management in cloud computing within Industry 4.0. Different RM techniques, along with associated challenges, advantages, disadvantages, and performance parameters have been explained in d
40#
發(fā)表于 2025-3-28 11:58:21 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-5 04:37
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
牟定县| 鄯善县| 葵青区| 云龙县| 上高县| 冀州市| 锦州市| 鹤壁市| 正阳县| 平武县| 邯郸县| 积石山| 道真| 沙河市| 昭苏县| 延长县| 灵璧县| 金坛市| 同仁县| 安塞县| 长沙县| 奈曼旗| 南川市| 晋江市| 容城县| 叙永县| 潍坊市| 河津市| 涿州市| 南澳县| 句容市| 鹿泉市| 沙坪坝区| 克东县| 定日县| 江都市| 崇义县| 精河县| 景东| 芮城县| 门源|