Academic literature on the topic 'Hyper-converged infrastructure (HCI)'

Modern data centres need security due to hyper-converged systems. Management, scalability, and cost are improved with hyper-converged infrastructure. There are risks to user safety with these perks. Hi-tech systems can be hacked because the hardware and software work together. These vulnerabilities could allow hackers to access critical systems or grab data.  Sharing virtualized work tools is another HCI issue. Hackers could use shared resources to use up HCI's resources or attack multiple Virtual Machines (VMs). Businesses must implement robust security protocols to mitigate these hazards. Patches and updates lower the risk of abuse by fixing bugs that have already been found. At rest and while it's being sent, data is secured to protect privacy. There are a number of attack paths and holes that could make HCI less secure. Ransomware attacks on HCI systems, in which criminals encrypt important data and demand payment, have gone through the roof. DoS attacks slow down and cost money because they flood HCI systems with traffic. Intrusion discovery and prevention help keep attacks to a minimum. These technologies work in real time to make antivirus software and track networks. By dividing the network into sections, malware and unauthorised users can't get too important HCI resources. Businesses that have incident response plans can fix security holes fast while their business keeps running. We need to look at the big picture to make hyper-converged systems safe. Bugs can be fixed, attackers can be taught how to get in, and good defenses can help organisations keep their HCI settings, private data, and assets safe.

Nowadays, the amount of data created by the government and public sector organizations is growing at an exponential rate. Data sharing and the interoperability of e-government systems pose technological challenges. The lack of technical interoperability prevents the successful exchange and sharing of information among public organizations. To meet this challenge, enhancing interconnection and communication between different public infrastructures is an essential condition. To optimize the provisioning of storage resources, software defined storage (SDS) solutions add flexibility and adaptability to the storage process by isolating the hardware from the software. Hyper-converged infrastructure (HCI) is an emerging set of SDS solutions that provide compute, network and storage in a single platform. This paper presents a storage HCI-based architecture to store public data from different public entities, enhance collaboration and improve technical interoperability. The relevance of this approach of e-government interoperability is to allow public organization to store their data in an efficient and flexible manner on one hand, and to participate to Morocco’s egovernment project on the other hand.

<span lang="EN-US">Nowadays, the amount of data created by the government and public sector organizations is growing at an exponential rate. Data sharing and the interoperability of e-government systems pose technological challenges. The lack of technical interoperability prevents the successful exchange and sharing of information among public organizations. To meet this challenge, enhancing interconnection and communication between different public infrastructures is an essential condition. To optimize the provisioning of storage resources, software defined storage (SDS) solutions add flexibility and adaptability to the storage process by isolating the hardware from the software. Hyper-converged infrastructure (HCI) is an emerging set of SDS solutions that provide compute, network and storage in a single platform. This paper presents a storage HCI-based architecture to store public data from different public entities, enhance collaboration and improve technical interoperability. The relevance of this approach of e-government interoperability is to allow public organization to store their data in an efficient and flexible manner on one hand, and to participate to Morocco’s e-government project on the other hand.</span>

<em>The paper discusses AI-based techniques and methods adopted to optimize data centre-based hyper-converged infrastructure; it includes the studies of Machine Learning, Deep Learning, and Reinforcement Learning methods. The survey provided investigates respective applications, benefits, and challenges using realistic case studies. Other emerging trends in edge AI and Federated Learning are discussed, pointing out AI&rsquo;s potential in bringing efficiency, scalability, and sustainability into the HCI environment.</em>

<em>This article provides a concise exploration of methods and architectural solutions for virtualizing corporate server infrastructure. Examining key technologies like server virtualization and containerization, alongside emerging approaches such as hyper-converged infrastructure and software-defined networking, the paper offers practical insights and real-world case studies. The goal is to empower IT professionals and decision-makers with the knowledge needed to optimize resource usage, enhance flexibility, and efficiently manage modern corporate IT environments.</em>

Nowadays Cloud Computing (CC) has been to a period of flourishing development in the worldwide. Hyper Converged Infrastructure (HCI) has been leading software defined datacenter of CC to a new stage. Service Oriented Architecture (SOA) in HCI CC platform provides the agile and abstract distributed IT architecture mode, and it will dramatically change the service style and efficient of software defined datacenter. The revised simplex method is used to solve the optimization question of resources schedule in SOA based HCI CC platform, and the result shows at least 25% profit promotion, while in medium or large-scale CC platform the promotion will be greater.

In today's rapidly evolving digital landscape, businesses rely heavily on efficient and reliable hardware and software solutions to maintain competitiveness and meet the demands of an increasingly connected world. Hyper-Converged Infrastructure (HCI) has evolved as a cornerstone in modern data center architecture, offering an integrated solution for compute, storage, and networking. The deployment of a highly available hyper converged appliance for containerized platforms presents unique challenges and opportunities from a human factors’ perspective. As customers embrace containerization for deploying and managing applications, it is essential to consider the human element in the design and implementation of such appliances. Designing an HCI (Hyper-Converged Infrastructure) appliance following a traditional approach is a meticulous process that often spans several months and requires the expertise of various professionals. From conceptualization to procurement to assembly and putting to production each step demands careful consideration to ensure seamless integration of hardware and software components ranging from ordering a complex mix of servers, switches, racks, PDU’s and then finding a set of software that can be installed on this infrastructure for day-to-day use and management.Once the design is finalized, acquiring the necessary equipment involves navigating complex supply chains and negotiating with multiple vendors. Manual configuration tasks such as initializing servers, setting up network connections, and configuring storage arrays demand painstaking attention to detail. Additionally, implementing monitoring appliances to ensure performance and reliability further extends the deployment timeline. Scaling the infrastructure by adding additional servers and disks introduces another layer of complexity, requiring careful planning and execution to maintain appliance integrity and performance.This paper investigates the implementation and integration considerations of Human factors concepts across various stages in commissioning an HCI appliance along with its operating and management software in a data center. We discuss how the design helps to improve usability, efficiency, productivity, error prevention, and adaptability in the installation, configuration, and operation processes. We also explore how managing a highly available hyper converged appliance that is pre-built from factory is recommended in comparison to building your own appliance how the overall design of hardware and software optimizes the user experience of getting a complex appliance into production use swiftly.