security in cloud computing thesis

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Security in Cloud Computing (Exploring the Evolution and Future of Cloud Cryptography)

• Masters Thesis
• Arian, Omid
• Ebrahimi, Mahdi
• McIlhenny, Robert
• Karamian, Vahe
• Computer Science
• California State University, Northridge
• Dissertations, Academic -- CSUN -- Computer Science.
• Cryptography
• Cloud Computing
• New Technologies
• http://hdl.handle.net/20.500.12680/qb98mn66k
• by Omid Arian

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Home > Graduate College > Theses > 919

Masters Theses

Security and privacy in cloud computing.

Ramakrishnan Krishnan

Date of Award

Spring 2017

Degree Name

Master of Science

Computer Science

First Advisor

Dr. Leszek T. Lilien

Second Advisor

Dr. John Kapenga

Third Advisor

Dr. Ikhlas Abdul Qader

Cloud, cloud security, cloud privacy, intertwined security and privacy, cloud based services

Access Setting

Masters Thesis-Open Access

Cloud computing (CC) gained a widespread acceptance as a paradigm of computing. The main aim of CC is to reduce the need for customers' investment in new hardware or software by offering flexible cloud services, with a user reaping the benefits of the pay per use approach. CC demands addressing many security and privacy issues : both problems (vulnerabilities, threats, and attacks) and solutions (controls). The thesis discusses all these classes of problems and solutions, categorizing them as either security-related issues, privacy-related issues, or intertwined security and privacy issues. The main contributions of the thesis are twofold: first, using the above categorization of the issues; and second, the literature review of the security and privacy issues in CC within the categorization framework. The major lessons learned during this research include confirmation of the decisive role that security and privacy solutions play and will continue to play in adopting CC by customers; understanding numerous vulnerabilities, threats, and attacks; and identifying controls for these problems. In addition, the sheer number of references to trust (in both problems and solutions), demonstrated a significant role of trust in CC.

Recommended Citation

Krishnan, Ramakrishnan, "Security and Privacy in Cloud Computing" (2017). Masters Theses . 919. https://scholarworks.wmich.edu/masters_theses/919

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Securing Cloud Computing Using Access Control Systems: A Comprehensive Review

• Conference paper
• First Online: 26 June 2024
• Cite this conference paper

• Alaa J. Mohammed 12 &
• Saja J. Mohammed 12  

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1036))

Included in the following conference series:

• International Conference on Forthcoming Networks and Sustainability in the AIoT Era

13 Accesses

Access control management systems play a crucial role in the infrastructure of cloud computing, relying on providing and managing access to computer resources. These systems employ strict access control procedures to guarantee the security and privacy of data. Service providers have the authority to establish and implement access policies, giving individuals and entities certain permissions. This entails confirming user identities, assigning the proper rights, and keeping an eye on activity via tracking and evaluating. An overview of the access control concept is given in this study, with an emphasis on role-based access control. It provides a thorough explanation of this kind of access control system and presents a few recent examples of how this idea is being used in successful works.

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Acknowledgements

The authors are very grateful to the University of Mosul/College of Computer Science and Mathematics for their facilities, which helped improve the quality of this work.

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Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, 41002, Mosul, Iraq

Alaa J. Mohammed & Saja J. Mohammed

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Department of Computer Engineering, Istanbul Sabahattin Zaim University, Istanbul, Türkiye

Jawad Rasheed

Council for Scientific and Industrial Research (CSIR), Pretoria, South Africa

Adnan M. Abu-Mahfouz

School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast, Belfast, UK

Muhammad Fahim

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Mohammed, A.J., Mohammed, S.J. (2024). Securing Cloud Computing Using Access Control Systems: A Comprehensive Review. In: Rasheed, J., Abu-Mahfouz, A.M., Fahim, M. (eds) Forthcoming Networks and Sustainability in the AIoT Era. FoNeS-AIoT 2024. Lecture Notes in Networks and Systems, vol 1036. Springer, Cham. https://doi.org/10.1007/978-3-031-62881-8_9

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Thesis for MS (Computer Science) DEFINING AN EFFECTIVE SECURITY POLICY FOR COMPANIES USING CLOUD COMPUTING

Cloud computing offers a variety of services like computational platform, computational power, storage and applications by means of the web. The cloud services have brought business supporting technology that attracts different companies around the globe. Despite the fact that Cloud computing has been deployed and utilized in part of the world, security in the cloud computing is still in its outset. These days hearing cyber-attacks news became familiar. Companies around in the globe experience different security incident, in which sensitive, protected or confidential information is seen, copied, transmitted, stolen, or lost by people who are not authorized to do so. Hence, with an expanding number of companies resorting to use cloud services, it is very important defining an effective security policy in order to secure the information. The aim of this study is to define an effective security policy for companies using cloud computing. Many companies already have security policies in place to protect their data. However, especially in a cloud situation, policy are neither likely to be up to date nor likely to be effective, due to the constant change in attack threats. Security threats and vulnerability have been giving credit to attackers to access the information of different users. First, this study identifies security challenges, companies need to guard against it in order to define an effective security policy with the corresponding existing solutions. Through the study 31 security challenges identified which companies need to aware of it and take into account when they set the companies security goals. The identified security challenges categorized into management and technical challenges. The management security challenges discussed, where the company often go wrong while technical challenges presented the security challenges related to cloud technology. Second, one of the main contributions of this study is a security policy model. The proposed security policy model can help the organization to address security challenges effectively in security policy. The model contains five elements Security Goals, Policies, Security Mechanisms, Security Requirements and Security Challenges. Security challenges addressed in security policy by passing through the steps exist in the security policy model. This will be a continuous process that must continue infinitely due to the ever changing nature of the Security Challenges. Generally,the model is used to define an effective security policy that to ensure organizations assets protected and as well the desired security goals of the company are meet.

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Cloud computing has recently emerged as new computing paradigm which basically aims to provide customized, reliable, dynamic services over the internet. Cost and security are influential issues to deploy cloud computing in large enterprise. Privacy and security are very important issues in terms of user trust and legal compliance. Information Security (IS) metrics are best tool used to measure the efficiency, performance, effectiveness and impact of the security constraints. It is very hard issue to get maximum benefits from Information security metrics in cloud computing. The aim of this paper is to discuss security issues of cloud computing, and propose basic building blocks of information security metrics framework for cloud computing. This framework helps cloud users to create information security metrics, analyze cloud threats, processing on cloud threats to mitigate them and threat assessment.

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—Cloud computing is a new development of grid, parallel, and distributed computing with visualization techniques. It is changing the IT industry in a prominent way. Cloud computing has grown due to its advantages like storage capacity, resources pooling and multi-tenancy. On the other hand, the cloud is an open environment and since all the services are offered over the Internet, there is a great deal of uncertainty about security and privacy at various levels. This paper aims to address security and privacy issues threatening the cloud computing adoption by end users. Cloud providers are mindful of cloud security and privacy issues and are working hardly to address them. Few of these threats have been addressed, but many more threats still unsolved. This paper focused on cloud computing security and privacy threats, challenges, and issues. Furthermore, some of the countermeasures to these threats will be discussed and synthesized. Finally, possible solutions for each type of threats will be introduced before we end with conclusions and future work.

Advanced Computing: An International Journal ( ACIJ )

Advanced Computing: An International Journal ( ACIJ ) , Kashif Munir

Cloud computing is set of resources and services offered through the Internet. Cloud services are delivered from data centers located throughout the world. Cloud computing facilitates its consumers by providing virtual resources via internet. The biggest challenge in cloud computing is the security and privacy problems caused by its multi-tenancy nature and the outsourcing of infrastructure, sensitive data and critical applications. Enterprises are rapidly adopting cloud services for their businesses, measures need to be developed so that organizations can be assured of security in their businesses and can choose a suitable vendor for their computing needs. Cloud computing depends on the internet as a medium for users to access the required services at any time on pay-per-use pattern. However this technology is still in its initial stages of development, as it suffers from threats and vulnerabilities that prevent the users from trusting it. Various malicious activities from illegal users have threatened this technology such as data misuse, inflexible access control and limited monitoring. The occurrence of these threats may result into damaging or illegal access of critical and confidential data of users. In this paper we identify the most vulnerable security threats/attacks in cloud computing, which will enable both end users and vendors t o k n o w a b o u t the k e y se c ur it y threats associated with cloud computing and propose relevant solution directives to strengthen security in the Cloud environment. We also propose secure cloud architecture for organizations to strengthen the security.

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—Cloud computing enables the sharing of resources such as storage, network, applications and software through internet. Cloud users can lease multiple resources according to their requirements, and pay only for the services they use. However, despite all cloud benefits there are many security concerns related to hardware, virtualization, network, data and service providers that act as a significant barrier in the adoption of cloud in the IT industry. In this paper, we survey the top security concerns related to cloud computing. For each of these security threats we describe, i) how it can be used to exploit cloud components and its effect on cloud entities such as providers and users, and ii) the security solutions that must be taken to prevent these threats. These solutions include the security techniques from existing literature as well as the best security practices that must be followed by cloud administrators.

Madhvi Popli

Masood Shah , Abdul Salam Shah

Cloud computing has attracted users due to high speed and bandwidth of the internet. The e-commerce systems are best utilizing the cloud computing. The cloud can be accessed by a password and username and is completely dependent upon the internet. The threats to confidentiality, integrity, authentication and other vulnerabilities that are associated with the internet are also associated with cloud. The internet and cloud can be secured from threats by ensuring proper security and authorization. The channel between user and cloud server must be secured with a proper authorization mechanism. The research has been carried out and different models have been proposed by the authors to ensure the security of clouds. In this paper, we have critically analyzed the already published literature on the security and authorization of the internet and cloud.

IOSR Journals

Cloud computing is set of resources and services offered through the Internet. Cloud services are delivered from data centers located throughout the world. Cloud computing facilitates its consumers by providing virtual resources via internet. General example of cloud services is Google apps, provided by Google and Microsoft SharePoint. The rapid growth in field of " cloud computing " also increases severe security concerns. This paper aims to identify security threats in cloud computing, which will enable both end users and vendors to know about the key security threats associated with cloud computing.

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This research paper aims to explore the underlying cloud computing architectures with respect to security and auditing services. As most of the standards have not been defined yet for cloud computing, academic and industrial researchers are participating with their ideas and proofs. We have surveyed and classified the available cloud computing architectures into three categories which are 1) Architecture of Cloud Computing Security and Auditing, 2) Data Storage Security, Privacy and Auditing of Data Leakage, and 3) Security and Auditing of Malicious Acts. This taxonomy and analysis of existing cloud architectures will be helpful to address the primary issues focusing the security and auditing perspectives in future research.

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Cloud Computing: Security Issues and Research Challenges

• R. Padhy , M. Patra , +1 author Oracle India Pvt
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Towards sustainable cloud computing: load balancing with nature-inspired meta-heuristic algorithms.

1. Introduction

• Nature-inspired meta-heuristic focus: Unlike other research primarily examining traditional load-balancing solutions, this study delves further into nature-inspired meta-heuristic algorithms. This study examines the benefits, distinctive characteristics, and present use of cloud computing, providing a fresh viewpoint.
• Comparative performance evaluation: Our approach involves surveying current meta-heuristic algorithms, conducting a thorough study, and comparing their performance using actual data obtained from case studies and experiments. This technique allows us to determine which algorithms are most suited for certain cloud resource load-balancing situations we have established.
• Integration of heuristic initial solutions: Our study emphasizes the significance of using typical heuristic methods to provide initial solutions for meta-heuristics to enhance the overall optimization process. This hybrid technique has received little attention in the existing literature and represents a novel addition to the discipline.

2. Background

2.1. cloud computing characteristics, 2.2. role of load balancing in cloud computing, 2.3. load-balancing challenges, 2.4. load-balancing policies, 2.5. meta-heuristic algorithms, 2.6. classification of load-balancing algorithms, 3. meta-heuristic algorithms for cloud load balancing, 3.1. ant colony optimization algorithm, 3.2. artificial bee colony algorithm, 3.3. genetic algorithm, 3.4. particle swarm optimization algorithm, 3.5. bat algorithm, 3.6. whale optimization algorithm, 3.7. simulated annealing algorithm, 3.8. biogeography-based optimization algorithm, 3.9. firefly algorithm, 3.10. grey wolf optimizer, 4. discussion.

• Complex optimization: Load balancing in cloud computing involves distributing tasks and workloads across multiple servers or VMs to ensure efficient resource utilization and reduced response times. This task is often a complex optimization problem that requires finding optimal or near-optimal solutions. Nature-inspired algorithms provide powerful optimization techniques to tackle these challenges.
• Global search: Cloud environments can have numerous variables and constraints, making it challenging to find the best solution. Nature-inspired algorithms, such as genetic algorithms, particle swarm optimization, and ant colony optimization, are designed to perform global searches in the solution space, helping to find solutions that traditional algorithms might miss.
• Flexibility and adaptability: Nature-inspired algorithms are often designed to adapt and evolve, mimicking the ability of natural systems to adapt to changing environments. In cloud computing, workloads and resource availability can vary dynamically. These algorithms can help adapt load-balancing strategies to changing conditions effectively.
• Parallelism and scalability: Cloud environments are inherently parallel and scalable. Many nature-inspired algorithms can be easily parallelized, allowing them to leverage the distributed nature of cloud computing resources. This makes them well-suited for addressing load-balancing challenges in large-scale cloud environments.
• Multi-objective optimization: Load balancing often involves optimizing multiple objectives simultaneously, such as minimizing response time, maximizing resource utilization, and minimizing energy consumption. Nature-inspired algorithms can handle multi-objective optimization, allowing cloud administrators to find trade-offs among different goals.
• Dynamic nature: Some nature-inspired algorithms, like particle swarm optimization, mimic the behavior of particles moving through a solution space. This dynamic nature aligns well with the dynamic nature of load balancing in cloud computing, where workloads and resources change over time.
• Exploration and exploitation: Nature-inspired algorithms strike a balance between exploration (searching for new and unexplored areas of the solution space) and exploitation (refining solutions in promising regions). This is vital for finding optimal or near-optimal solutions to load-balancing problems.
• Heuristic solutions: Load-balancing problems are often NP-hard, meaning that finding an optimal solution in a reasonable amount of time is practically impossible. Nature-inspired algorithms provide heuristic solutions that can efficiently find good solutions even for highly complex and large-scale load-balancing instances.
• Domain-agnostic: Nature-inspired algorithms are generally domain-agnostic and can be applied to various problems, including load balancing in cloud computing. They can adapt to different system architectures and characteristics.
• Earliest Deadline First (EDF): Tasks are prioritized according to their deadlines, with the tasks with the earliest dates given more priority. This strategy is efficient in time-sensitive situations where fulfilling deadlines is essential.
• Least Laxity First (LLF): Similar to EDF, LLF arranges jobs according to the amount of time available before their deadlines, known as slack time or laxity. Tasks with the lowest amount of flexibility are assigned more importance, guaranteeing prompt completion.
• First-Fit Decreasing (FFD): The tasks are arranged in descending order based on their size, then assigned to the first available resource to accommodate them. This strategy optimally allocates jobs within restricted resources, minimizes fragmentation, and enhances resource use.
• Best-Fit Decreasing (BFD): Like FFD, tasks are assigned to the resource that has the lowest remaining capacity following the assignment. The objective of this strategy is to reduce the amount of unused space and enhance the efficiency of packing.
• Greedy algorithms: These algorithms use local, optimal decisions at each stage in the expectation of discovering a global optimum. For instance, a greedy load balancer may allocate each incoming job to the server with the lowest current load, with the objective of gradually achieving load balance.
• Dynamic policy selection: The scheduler assesses many policies in real time and selects the one that most effectively aligns with the present workload and system condition. This flexibility improves efficiency and the usage of resources.
• Policy portfolio: The portfolio comprises a varied range of scheduling policies, including round-robin, least-connection, and FCFS. This enables the scheduler to seamlessly transition between policies as required in order to optimize performance.

5. Open Issues and Future Directions

6. conclusions, author contributions, data availability statement, conflicts of interest.

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Li, P.; Wang, H.; Tian, G.; Fan, Z. Towards Sustainable Cloud Computing: Load Balancing with Nature-Inspired Meta-Heuristic Algorithms. Electronics 2024 , 13 , 2578. https://doi.org/10.3390/electronics13132578

Li P, Wang H, Tian G, Fan Z. Towards Sustainable Cloud Computing: Load Balancing with Nature-Inspired Meta-Heuristic Algorithms. Electronics . 2024; 13(13):2578. https://doi.org/10.3390/electronics13132578

Li, Peiyu, Hui Wang, Guo Tian, and Zhihui Fan. 2024. "Towards Sustainable Cloud Computing: Load Balancing with Nature-Inspired Meta-Heuristic Algorithms" Electronics 13, no. 13: 2578. https://doi.org/10.3390/electronics13132578

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Where Will Amazon Stock Be in 5 Years?

• Amazon has executed an impressive turnaround after suffering weakness in 2022 and 2023.
• A diverse set of businesses, along with constant innovation, should help maintain its bull run.
• Motley Fool Issues Rare “All In” Buy Alert

NASDAQ: AMZN

The tech giant has become a profit machine -- and that won't change anytime soon.

If the last few years have anything to teach us, it's to never bet against America's big tech. With shares up 104% over the previous five years, Amazon ( AMZN 1.21% ) has navigated both the COVID-19 pandemic and the 2022 inflation crisis while keeping shareholder value intact (although it was a bumpy ride). Let's explore what the next half-decade could have in store for the diversified technology conglomerate.

Reinforcing the foundation

While Amazon has successfully diversified itself into businesses ranging from cloud computing to artificial intelligence ( AI ) , its foundation remains e-commerce. In 2022, this sprawling segment had begun to underperform because of COVID-era overexpansion and high inflation, which squeezed consumer purchasing power. But now, those challenges are in the past.

Amazon's first-quarter net sales rose 13% year over year to $143.3 billion. But more importantly, its operating income surged more than threefold from $4.8 billion to $15.3 billion over the same time frame.

This transformation was partially driven by significant cost savings in North American e-commerce (where management increased operating income by 455% to $4.98 billion) and international e-commerce (where they swung from a loss of $1.25 billion to a gain of $903 million). Amazon's new decentralized fulfillment network and layoffs are transforming its bottom line, allowing it to focus on exciting new growth drivers.

Pivoting to new growth drivers

Amazon's cloud computing division, Amazon Web Services (AWS), will be the key to its future growth. Like with e-commerce, management has targeted significant layoffs here. And it has paid off, with operating profits jumping 84% to $9.4 billion.

Over the next five years, investors can expect this segment to enjoy continued growth as it benefits from increased AI-related demand -- particularly from start-ups like Anthropic, which uses its industry-leading cloud platform for storage and data management.

Amazon boasts its own custom AI training chips (Inferentia and Trainium), designed to attract clients to AWS's cloud services by offering competitive training speeds at potentially lower costs.

Image source: Getty Images.

But growth plans aren't limited to AWS. According to the Financial Times , management aims to develop a new retail channel to ship goods to American shippers directly from warehouses in China. Delivery times will be significantly longer than Amazon's typical one-to-two-day waits but will involve significant cost savings for consumers.

Unlike AWS, this new retail channel probably won't generate high-margin growth. However, it could help Amazon protect its market share from low-cost Chinese rivals like Temu (a subsidiary of PDD Holdings ) or Shein.

Is Amazon stock still a buy?

Long-term investors should always consider valuation when picking a stock because this data shows how much of your buy thesis has already been priced in by other market participants. For Amazon, a forward price-to-earnings (P/E) multiple of 43 means its shares are valued slightly higher than the Nasdaq-100 average of 31.

This looks like a fair premium to pay, considering the company's bottom-line momentum and new growth opportunities in AI technology. The stock looks likely to continue outperforming over the next five years. And it's not too late to buy.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool’s board of directors. Will Ebiefung has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Amazon. The Motley Fool has a disclosure policy .

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• Cloud and data center networking

Cloud networking sustainability strategies yield benefits

As enterprises seek ways to reduce their environmental footprints, one popular way is to migrate on-premises networking infrastructure to third-party csps..

• Paul Kirvan

The cloud can almost do it all. But the cloud is more than a way to access corporate resources. It can also help organizations achieve their goals around green and sustainable technology.

Cloud networking sustainability strategies minimize energy consumption and help reduce a company's overall carbon footprint -- especially compared with a typical on-premises infrastructure.

What is network sustainability?

IT systems, and networking in particular, consume vast amounts of energy . The internet, for example, relies on hundreds of data centers worldwide, in addition to myriad switching centers. All this infrastructure is necessary to connect businesses and consumers to websites, wireless services and each other.

Major cloud service providers (CSPs), such as AWS, Microsoft and Google, use significant amounts of energy, as do telecom carriers powering their switching offices and network data centers. But the electricity needed to power these systems comes at an environmental cost: Even as utilities generate this power, they release tons of greenhouse gases into the atmosphere.

The challenge, then, is how major service providers can continue to function as they take steps to protect the environment. They do this by deploying energy-efficient and eco-friendly infrastructure elements wherever possible.

Enterprises face the same challenge as they focus on green technology and sustainability measures to limit the environmental effects of their switching and routing devices.

What is cloud network sustainability?

Organizations that transfer their IT infrastructure to an external CSP rely on the provider's ability to stay operational. But users must prepare for risks and costs associated with cloud-based IT services.

Figure 1 depicts a typical configuration where an organization and its data center connect to multiple network services.

All networking services connect through a local telephone company or non-telecom service provider. The company must have sustainability practices and procedures in place to minimize its carbon footprint and energy usage.

By contrast, Figure 2 depicts an all-cloud configuration where the provider delivers networking services. The provider might deliver services via wireless connections or through a telecom provider, but all networking technology resides within the cloud.

When all or most networking resources reside in the cloud, it becomes less of an issue to focus on sustainability and manage an environmentally friendly infrastructure. Sustainability benefits of a cloud network infrastructure include the following:

• Cuts energy consumed by on-premises networks.
• Reduces the number of power-hungry devices.
• Enables remote work.

Cuts energy consumed by on-premises networks

As CSPs realize they use significant amounts of energy, many plan to reduce their dependence on energy provided by fossil fuels. As a result, this decreases the amount of greenhouse gases released into the atmosphere.

One way to reduce energy consumption is through the use of renewable energy sources, such as solar, geothermal and wind. Enterprise customers, meanwhile, no longer have to maintain their own on-premises systems. The need for the enterprise data center might no longer exist.

Reduces the number of power-hungry devices

Enterprises can reduce their need to purchase networking components by migrating their in-house systems to those operated by external CSPs. Endpoint devices remain on-site, but enterprises can use energy-efficient components to reduce their power consumption.

Enables remote work

When networking resides in the cloud, employees can access resources from any location, which, in turn, enables remote work. Remote work minimizes commuting and reduces travel-created emissions. In addition, remote work reduces the prevalence of energy-inefficient office equipment, HVAC systems, lighting and security systems.

Many businesses, however, have asked employees to transition from mostly remote to in-office schedules. Even with employees in the office less frequently, employers who adopt a hybrid approach must account for energy needed for equipment to support workers when they come into the office.

Businesses might want to consider a hybrid arrangement approach, with mission-critical systems located on-site and less critical assets located in a cloud.

Caveats to all-cloud networking

While enterprises might consider transitioning networking systems to a cloud platform, particularly from environment and sustainability perspectives, they face some risks with handing over networking resources to a CSP.

Caveats to all-cloud networking include the following:

• It might be expensive to adopt an all-cloud infrastructure, so CIOs need to review the associated costs carefully.
• It might not be practical to move networking services to a third party.
• CSPs could limit access to company networking resources.
• If a CSP has a technology outage , a business could lose its networking resources and potentially compromise its resiliency and reputation.
• CSPs handle systems and data security, which could expose a business to cyberattacks.
• CSP employees who manage enterprise resources might be unknown to users or might change frequently.
• User resources, especially data and apps, might reside across multiple cloud data centers.

Businesses might want to consider a hybrid arrangement approach, with mission-critical systems located on-site and less critical assets located in a cloud. From a sustainability perspective, this approach might enable users to strike a balance as they rely on cloud services in a configuration that benefits the business and remains eco-friendly.

Advances in technology give users many options to manage their technology requirements. A cloud networking sustainability strategy can yield important environmental benefits to users, but the organization should still consider its business needs.

Paul Kirvan is an independent consultant, IT auditor, technical writer, editor and educator. He has more than 25 years of experience in business continuity, disaster recovery, security, enterprise risk management, telecom and IT auditing.

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9 top cloud storage security issues and how to contain them

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Organizations have ramped up their use of communications platform as a service and APIs to expand communication channels between ...

Google will roll out new GenAI in Gmail and Docs first and then other apps throughout the year. In 2025, Google plans to ...

For successful hybrid meeting collaboration, businesses need to empower remote and on-site employees with a full suite of ...

For organizations that value convenience and UX, zero touch could be an ideal Android Enterprise enrollment method. Learn about ...

Apple has built a Private Cloud Compute server to process and then delete data sent from Apple Intelligence running on an iPhone,...

When setting up Android Enterprise devices, there are several enrollment methods IT should consider. Admins should learn how to ...

Lenovo sets itself apart from others by offering configured AI products to speed deployment and shape direction, while also ...

In today's world of security threats, it's critical to keep OSes up to date. As the end-of-life date for CentOS 7 approaches, ...

With many organizations developing or evaluating generative AI initiatives, HPE increased its commitment to the space through a ...

IT service providers are upskilling a large portion of their workforces on the emerging technology. The campaign seeks to boost ...

Early-stage companies featured at MIT Sloan's annual CIO event tap partners to speed up technology deployment and broaden their ...

Kaseya's pledge to partners promises more pricing controls and a new subscription service that lets MSPs manage and secure their ...