scholarly journals The IVI Cloud Computing Life Cycle

2013 ◽  
pp. 183-199 ◽  
Author(s):  
Gerard Conway ◽  
Edward Curry
Keyword(s):  
Cloud Computing ◽  
Life Cycle

A Green Software Development Life Cycle for Cloud Computing

2013 ◽  
Vol 15 (1) ◽  
pp. 28-34 ◽  
Author(s):  
Nitin Singh Chauhan ◽  
Ashutosh Saxena
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
Software Development ◽  
Development Life Cycle ◽  
Green Software ◽  
Software Development Life Cycle

Social Network Service for Scientists Difficulties Facing E-Publishing over Cloud Computing

2016 ◽  
Vol 7 (3) ◽  
pp. 10-20 ◽  
Author(s):  
Evon M. O. Abu-Taieh
Keyword(s):  
Cloud Computing ◽  
Social Network ◽  
Life Cycle ◽  
Search Engines ◽  
University Ranking ◽  
Network Service ◽  
Social Network Service ◽  
H Index ◽  
The Third ◽  
Research Document

This paper illustrated the difficulties facing e-publishing over cloud computing pertaining to social network service for scientists from three axioms: the life cycle of the research document, an explanation of what a researcher juggles during the course of the production of the document related to research. Then this paper discussed discovering study of the researcher knowledge pertaining to both social network service for scientists, scholarly search engines and citation indices. The first axiom reflected the life cycle of the research paper and how each phase affects and influences the next phase. The second axiom showed the researcher worries and the different tasks that a scholar juggles: research financial support, institutional laws and regulations, time & money, legality and copy rights, language barrier, tech savvy, web metrics & university ranking. The third axiom was a discovering study that explored the weakness of the scholar pertaining to his/her knowledge about citation indices. Scholar's knowledge of social network service for scientists and citation indices like: ResearchGate, Google scholar, and academia.edu, Zotero, Coins, and figshare. CiteSeerX, getCITED, MyScienceWork, Mendeley; In addition, citation indices pertaining to Social network service for scientists and scholar search engines: i10-index, h- index, SCI, SSCI, and RG score.

scholarly journals Big data technology in construction

2019 ◽  
Vol 97 ◽  
pp. 01032 ◽  
Author(s):  
Nikolay Garyaev ◽  
Venera Garyaeva
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Life Cycle ◽  
Construction Industry ◽  
Smart Cities ◽  
Entire Life ◽  
Entire Life Cycle ◽  
Intelligent Buildings ◽  
Big Data Technology

The article presents the results of the analysis of the use of large amounts of data in the construction industry, new trends such as BIM, IOT, cloud computing, intelligent buildings and smart cities with great prospects for application. These problems are related to the presence of huge amounts of data produced by the construction industry during the entire life cycle of a building, which are not fully used for optimizing processes and making decisions in construction.

Product Life Cycle-Oriented Cloud Process Management Research

2011 ◽  
Vol 120 ◽  
pp. 456-459 ◽  
Author(s):  
Li Sun ◽  
Jian Min Fan ◽  
Zi Qin Ma ◽  
Xiu Lun Wang ◽  
Hao Tan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
Product Life Cycle ◽  
Process Management ◽  
Cloud Manufacturing ◽  
Product Life ◽  
Knowledge Based ◽  
Network Process ◽  
Service Oriented ◽  
Cloud Process

Based on the philosophy of cloud computing and cloud manufacturing, cloud process management, a new intelligently network process management model, is proposed. And it is service-oriented, highly efficient, and knowledge-based. On the base of the study of contemporary process management, cloud computing, and cloud manufacturing, product life cycle-oriented cloud process management is researched with the survey of a large state-owned enterprise. The cloud process management is initially defined. The structure model of cloud process management is expounded. And the application mode of product life cycle-oriented cloud process management is initially put forward. These establish the foundation for further research.

scholarly journals Optimalisasi Web Server Menggunakan System Failover Clustering Berbasis Cloud Computing

1970 ◽  
Vol 3 (2) ◽  
pp. 35-42
Author(s):  
Muhajirin
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
Web Server ◽  
Network Development ◽  
Development Life Cycle

Salah satu penyebab kegalan server  melayanani client adalah karena hanya  satu server sebagai pusat data yang melayani berbagai permintaan data dari komputer client. Penelitian ini bertujuan merancang dan mengimplementasikan System Failover Clustering berbasis Cloud Computing Pada Web Server. Data ini diperoleh melalui Penelitian Lapangan, Penelitian Pustaka dan Wawancara. Data itu dianalisis dengan menggunakan metode Network Development Life Cycle. Hasil penelitian ini menunjukkan bahwa server yang dibangun menggunakan System Failover Clustering cukup signifikan dari segi availability dan skalabilitas apabila terjadi failure/downtime pada server yang sedang aktif maka layanan akan berpindah ke server pasif kemudian berubah menjadi server aktif sehingga akses/permintaan koneksi dari client tidak terputus. Kemudian dari segi keamanan data, resiko kehilangan data dapat ditiadakan karena semua data tersimpan pada kedua server.

scholarly journals Cloud Requirement and Cloud Analysis

2012 ◽  
Vol 2 (1) ◽  
pp. 28-31
Author(s):  
Gurdev Singh ◽  
Harmandeep Singh ◽  
Amandeep Singh
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
Autonomic Computing ◽  
Volunteer Computing ◽  
Implementation Phase ◽  
Development Life Cycle ◽  
Cloud Development ◽  
The One ◽  
Cloud Implementation ◽  
Basic Content

Cloud computing is model which uses combine concept of software-as-a-service and œutility computing ,provide convenient and on-demand services to requested end users. Cloud Engineering is a discipline that uses combination of the business and technology thinking for purposes of engineering a cloud. The structure and principles of cloud engineering plays an important role for the engineering of usable and economic cloud. The cloud development life cycle (CDLC) is the one of the component in structure of cloud engineering with Base, Tools & Techniques and Management components. CDLC is the iterated life cycle model for development, deployment and delivery of cloud. CDLC consists of six phases that are flexible, isolated executable and having feedback. The work on this paper focuses on the Understanding Requirement and Analysis phase of the CDLC. This paper lists and discusses the basic, content and operational requirements for the engineering of economic cloud. It also discuses feasibility checks for the requirements. Analysis part of this phase does the analysis of their cloud computing solution with another available computing solution such as grid computing, volunteer computing, utility computing, autonomic computing, client-server model and peer to peer model; and also does cloud planning for cloud implementation phase

High-Performance Cloud Computing for Managing the Life Cycle of Oil and Gas Fields

2018 ◽  
pp. 1093-1098 ◽  
Author(s):  
Vladimir Yu. Turchaninov ◽  
Sergey O. Kosenkov ◽  
Oleg I. Samovarov ◽  
Oleg P. Tchij ◽  
Iakov S. Korovin ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Life Cycle ◽  
High Performance ◽  
Oil And Gas ◽  
Oil And Gas Fields ◽  
Gas Fields

scholarly journals Digital transformation—life cycle assessment of digital services, multifunctional devices and cloud computing

2020 ◽  
Vol 25 (10) ◽  
pp. 2093-2098 ◽  
Author(s):  
René Itten ◽  
Roland Hischier ◽  
Anders S. G. Andrae ◽  
Jan C. T. Bieser ◽  
Livia Cabernard ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Life Cycle Assessment ◽  
Life Cycle ◽  
Digital Transformation ◽  
Digital Services ◽  
Multifunctional Devices
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