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A Novel Hyper-Converged Architecture for Power Data Centers
... The resulting virtual volume is then used by the *Container Engine* as a storage unit. Zhang et al. (2021) [39] proposed the construction of a hyperconverged data center that integrates six essential resources-computing, storage, networking, operations monitoring, and maintenance-into a unified cloud platform. The authors adopted the hypervisor-integrated approach. ...
... The resulting virtual volume is then used by the *Container Engine* as a storage unit. Zhang et al. (2021) [39] proposed the construction of a hyperconverged data center that integrates six essential resources-computing, storage, networking, operations monitoring, and maintenance-into a unified cloud platform. The authors adopted the hypervisor-integrated approach. ...
Virtual Trusted Platform Modules (vTPMs) are widely adopted in commercial cloud platforms such as VMware Cloud, Google Cloud, Microsoft Azure, and Amazon AWS. However, as software-based components, vTPMs do not provide the same security guarantees as hardware TPMs. The existing solutions attempt to mitigate this limitation by anchoring vTPMs to physical TPMs, but such approaches often face challenges in heterogeneous environments and in failure recovery or migration scenarios. Meanwhile, the evolution of data center architectures toward hyperconverged infrastructures introduces new opportunities for security mechanisms by integrating compute, storage, and networking into a single solution. This work proposes a novel mechanism to securely anchor vTPMs in hyperconverged environments. The proposed approach introduces a unified software layer capable of aggregating and managing the physical TPMs available in the data center, establishing a root of trust for vTPM anchoring. It supports scenarios where hardware TPMs are not uniformly available and enables anchoring replication for critical systems. The solution was implemented and evaluated in terms of its performance impact. The results show low computational overhead, albeit with an increase in anchoring time due to the remote anchoring process.
... On the other hand, the type of link connection used has a significant impact on both the node degree and the scale of switches required [18]. Therefore, before assessing a particular network topology, the article first explores the advantages and disadvantages of various types of links. ...
Data centers serve as the backbone for cloud computing, enterprise services, and infrastructure-based offerings. One area of ongoing research in data center networking focuses on innovating new topologies for large-scale node connectivity. These topologies must incorporate fault-tolerant and efficient routing algorithms. Consequently, the data centers network topology must dynamically adapt to ever-changing application requirements. While traditional topology designs often emphasize scalability, they are typically limited by the necessity for dedicated switches to manage server connections. The development of software technologies that differentiate server and switch roles offers a unique opportunity to reconsider design priorities, paving the way for a more balanced assessment of scalability, energy efficiency, and infrastructure costs. Moreover, certain network topologies fail to be cost-effective due to their structural intricacies, often requiring far more node connections than those that are practically necessary. To address these challenges, we introduce VacoNet: a new flexible data center network topology that organizes nodes into structurally similar clusters, interconnected by a novel physical structure algorithm. Boasting high bisection bandwidth, VacoNet delivers robust network capacity, even when encountering bottlenecks. Furthermore, to connect a given set of nodes, VacoNet uses a minimal number of cables and switches, thereby drastically reducing both infrastructure costs and energy consumption. Simulation results show that VacoNet canreduce error rates by 20% and slashe infrastructure costs by 70% compared to existing solutions. Additionally, it performs tasks 30% faster, underscoring its superior performance.
... The hyper-converged OpenStack cloud computing platform uses the distributed storage mechanism to reduce storage device overhead (Melo et al. 2018), which can save cost for the construction of simulation platform. The hyper-converged architecture achieves efficient hardware integration, flexible resource scheduling, rapid system deployment, secure and reliable data, and unified service operation and maintenance (Zhang et al. 2021), which allows for rapid and flexible system deployment. The hyper-converged system consists of distributed video collection, hierarchical video storage and read/write load balancing (Qiang et al. 2020), which allows flexibility in building course video content. ...
... The hyper-converged OpenStack cloud computing platform uses the distributed storage mechanism to reduce storage device overhead (Melo et al. 2018), which can save cost for the construction of simulation platform. The hyper-converged architecture achieves efficient hardware integration, flexible resource scheduling, rapid system deployment, secure and reliable data, and unified service operation and maintenance (Zhang et al. 2021), which allows for rapid and flexible system deployment. The hyper-converged system consists of distributed video collection, hierarchical video storage and read/write load balancing (Qiang et al. 2020), which allows flexibility in building course video content. ...
... W ITH the ubiquity of high-speed networks, virtualization technologies have become widely used in fields such as manufacturing [18], [19], [22], education [20], [21], medicine [23], [28], education [26], [27], and life information [24], [25]. Hyper-convergence (HC) technologies [1]- [3] have become the mainstream architecture to integrate virtualization platforms and storage devices effectively. Manufacturers have also released hyper-convergence infrastructures (HCIs) with certain design concepts to provide outstanding performance in various scenarios. ...
With the ubiquity of high-speed networks and cloud technologies, hyper-convergence (HC) has become commonplace and satisfies flex allocation requirements. This study compared the VMware virtual storage area network (vSAN), which has the largest market share, with Cisco HyperFlex, released by Cisco for high-level network applications, to assess the performance of various HC technologies in running virtual machines in most virtualized environments. The experiments consider the benchmark (HCIBench) to evaluate the platform’s performance. The benchmark provides objective performance scores. Thus, the performance results derived by HCIBench could be applied to discuss the appropriate scenarios for both VMware vSAN and Cisco HyperFlex. The experiments simulate common application scenarios to discover good HC platforms for real-world requirements. The VMware vSAN demonstrated more robust overall performance (about 38.18% and 22.72% improvement for IOPS and transmission speed, respectively), the HyperFlex Data Platform provided better performance wrote latency (about 20.32% improvement) when few virtual machines were used, and the write load was heavy. The difference in CPU usage between the two platforms is not too much (about 2.565%). The vSAN is recommended for general purposes, while HyperFlex performs better in areas with high write requirements (such as the data center).
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