نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مهندسی کامپیوتر، واحد آبادان، دانشگاه آزاد اسلامی، آبادان، ایران
2 گروه مدیریت بازرگانی، واحد آبادان، دانشگاه آزاد اسلامی، آبادان، ایران
3 استادیار گروه مدیریت، دانشکده علوم انسانی ، واحد نجف آباد، دانشگاه آزاد اسلامی ، نجف آباد، ایران
چکیده
شکست‌های آبشاری یکی از مهم‌ترین چالش‌ها و مخاطرات کسب‌وکارهای ابری است که می-تواند به‌طور زنجیروار به بخش‌های دیگر سیستم آسیب برساند و منجر به فروپاشی کل سیستم شود. هدف این پژوهش بررسی عوامل مختلف مرتبط با شکست‌های آبشاری در مدل‌های کسب‌وکار ابری و معرفی رویکردهای مناسب برای پیش‌بینی، جلوگیری و مدیریت این نوع شکست‌ها است. در این پژوهش، از روش مرور ادبیات با استفاده از پردازش زبان طبیعی برای جمع‌آوری اطلاعات و تحلیل موضوع استفاده شده است. منابع مورد استفاده شامل مقالات علمی معتبر درزمینه فناوری اطلاعات و کسب‌وکار از سال 2015 تا 2024 از دیتاست‌های IEEE Xplore، Google Scholar و arXiv بود که 23 مقاله با روش‌های پردازش زبان طبیعی مورد بررسی قرار گرفت. استفاده از تکنیک‌های پیشرفته NLP، امکان ارزیابی دقیق‌تر و تحلیل عمیق‌تر عوامل مرتبط با شکست‌های آبشاری را فراهم می‌کند. همچنین، ریشه‌یابی خطاها و تدوین نقشه راه عملی برای مدیریت بهتر آن ها، به کسب‌وکارها امکان می‌دهد تا بهبود و بهره‌وری در محیط ابری خود را تسهیل کرده و مسیری پایدارتر را در پیش گیرند. این مراحل نه‌تنها به افزایش کیفیت و کارایی خدمات ابری کمک می‌کنند، بلکه هزینه‌ها و زمان مورد نیاز برای رفع مشکلات را نیز به‌شدت کاهش می‌دهند. عوامل مختلف مرتبط با شکست‌های آبشاری در مدل‌های کسب‌وکار ابری به‌طور مفصل بررسی شده است. این عوامل شامل مشکلات فنی، مشکلات مدیریتی و مشکلات بازاریابی است. همچنین، رویکردهای مختلف برای پیش‌بینی، جلوگیری و مدیریت این نوع شکست‌ها معرفی شده است.
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
The strategy of Stabilizing Cloud Business Models: A Practical Guide Based on the Identification and Analysis of Cascading Failures
نویسندگان [English]
- Maryam Nooraei abadeh 1
- Soheila Zarin jouy alvar 2
- Soraya Bakhtiari bastaki 3
1 Professor, Department of Business Administration, Payam Noor University, Tehran, IranM_azami@pnu.ac.ir Corresponding Author: Assistant
2 Department of Business Management, Abadan branch, Islamic Azad University, Abadan, Iran
3 Assistant Professor Department of Management Faculty of Humanities Najaf Abad Branch, Islamic Azad University, Najaf Abad, Iran
چکیده [English]
In the digital age where changes are happening at an increasing speed, businesses are steadily moving to cloud models. New business models have many advantages, but at the same time, they are accompanied by new risks and challenges. Waterfall failures are one of the most important challenges that can have many negative consequences for businesses. Cascading failures refer to the occurrence of an unfortunate event in one part of the cloud business model, which can cause chain damage to other parts of the system and lead to the collapse of the entire system. By using appropriate approaches, the probability of these types of failures can be reduced, and if they do occur, they can be quickly identified and eliminated. The purpose of this article is to examine various factors related to waterfall failures in cloud business models and introduction of suitable approaches for forecasting is the prevention and management of these types of failures. In this article, the literature review method using natural language processing is used to collect information and analyze the topic. The sources used included scientific articles in the field of information technology and business from 2015 to 2024 from the IEEE Xplore, Google Scholar, and arXiv datasets, and 23 articles were analyzed with natural language processing methods. The use of advanced NLP techniques also adds a valuable addition to this process and allows for a more accurate assessment and deeper analysis of the factors associated with cascading failures. Also, rooting out errors and formulating a practical roadmap for their better management allows businesses to facilitate improvement and productivity in their cloud environment and take a more sustainable path. These steps not only help to increase the quality and efficiency of cloud services, but also greatly reduce the costs and time required to fix problems. Various factors related to waterfall failures in cloud business models have been examined in detail. These factors include technical problems, management problems and marketing problems. Also, different approaches for predicting, preventing and managing these types of failures have been introduced.
Introduction
Waterfall failures are one of the most important challenges that can have many negative consequences for businesses. Cascading failures refer to the occurrence of an unfortunate event in one part of the cloud business model, which can cause chain damage to other parts of the system and lead to the collapse of the entire system. By using appropriate approaches, the probability of these types of failures can be reduced, and if they do occur, they can be quickly identified and eliminated. The purpose of this article is to examine various factors related to waterfall failures in cloud business models and introduction of suitable approaches for forecasting is the prevention and management of these types of failures. In this article, the literature review method using natural language processing is used to collect information and analyze the topic. The sources used include scientific articles, research studies and reports of reputable organizations in the field of information technology and business, which have been analyzed with natural language processing methods. The use of advanced NLP techniques also adds a valuable addition to this process and allows for a more accurate assessment and deeper analysis of the factors associated with cascading failures. Also, rooting out errors and formulating a practical roadmap for their better management allows businesses to facilitate improvement and productivity in their cloud environment and take a more sustainable path. These steps not only help to increase the quality and efficiency of cloud services, but also greatly reduce the costs and time required to fix problems. Various factors related to waterfall failures in cloud business models have been examined in detail. These factors include technical problems, management problems and marketing problems. Also, different approaches for predicting, preventing and managing these types of failures have been introduced. The stages of this research to investigate the factors of cascading failures in cloud business models are as follows:
Examining the factors of cascading failures: In this step, various factors that lead to the occurrence of cascading failures in cloud business models are identified and investigated. It includes the examination of technical, operational, managerial and organizational factors, which are more important in cloud environments.
Error rooting: In this step, the rooting of errors in cloud business models is discussed. It is possible to accurately analyze errors and determine their sources and causes, including problems related to infrastructure, software, resource management, security, and other factors.
Presentation of error management methodology: In this phase, a suitable methodology is presented to manage errors in the cloud business. This methodology includes processes, methods and tools used to identify, track, evaluate and fix errors in cloud business models.
Providing a qualitative model for the analysis of cascading failures: In this step, we present a qualitative model for analyzing cascading failures in cloud business models. This model includes various factors that can lead to cascading failures in cloud business models, and provides methods and solutions to prevent and manage these failures.
Compilation of a practical road map for managing cascading failures in cloud business: In this section, the formulation of strategies, goals and expectations from the road map, as well as the selection of suitable solutions to reduce the probability and negative effects of cascading failures, are discussed.
By using a qualitative model, it is possible to provide a more accurate methodology for managing errors and solving problems in the cloud business model, and make a significant improvement in the performance and stability of the cloud business model. Also, by considering the priority features according to the qualitative model, there were significant improvements in the performance and sustainable use of the cloud business model. These improvements can include improving efficiency, increasing reliability, increasing security, and maintaining compliance with changes and customer needs.
Literature Review
The emergence of Industry 4.0 and related technologies (cyber-physical systems, Internet of Things, cloud computing and big data) creates the potential for SMEs stakeholders to compete in a highly competitive global market (Argyroudis et al., 2022). However, as machines, devices, services, and software become heterogeneous and hyperconnected along the cyber supply chain, SMB stakeholders must better understand the potential threats associated with this new business landscape (Rogers, 2023). Bull's (2021) research provides a glimpse of small and medium businesses from the perspective of cyber threats related to key technologies that have become prerequisites for entering this new industrial revolution and cyber supply chain.
Research objective
The aim of this research is to investigate various factors related to waterfall failures in cloud business models and to introduce appropriate approaches for predicting, preventing and managing these types of failures.
Methodology
The stages of this research to investigate the factors of cascading failures in cloud business models, are:
Examining the factors of cascading failures.
Rooting errors.
Presentation of error management methodology.
Presenting a qualitative model of cascade failure analysis.
Developing a practical roadmap for managing cascade failures in cloud business.
Conclusion
Today, the use of online cloud data storage as a solution to preserve data and ensure continuous access to it by individuals and organizations is increasing day by day; But to provide this service, cloud providers need to provide equipment, infrastructure, strong human resources and high potential to prevent and manage cascading failures to ensure security and continuous availability. In fact, every second of data center downtime can damage reputation and revenue. Also, cloud storage as a backup solution, recovery and data rescue service is essential in the industry for a long time. Cascading business failures refer to a series of interconnected failures in a company that can lead to a chain reaction of negative consequences. These failures can start with a single issue, but quickly spread throughout the organization, affecting different aspects of its operations, potentially leading to business failure.
Keywords: Cascading Failures, Business Models, Cloud Models, Prediction.
کلیدواژه‌ها [English]
- cascading failures
- business models
- cloud models
- prediction
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