Direct-Virtio: A New Direct Virtualized I/O Framework for NVMe SSDs

Virtualization is a core technology for cloud computing, server consolidation and multi-platform support. However, there is a concern regarding performance degradation due to the duplicated I/O stacks virtualization environments. In this paper, we propose a new I/O framework, we refer to it as Direct-Virtio, that manipulates storage directly, which makes it feasible to avoid the duplicated overhead. In addition, we devise two novel mechanisms, called vectored I/O and adaptive polling, to process multiple I/O requests collectively and to check I/O completion efficiently. Real implementation-based evaluation shows that our proposal can enhance performance for both micro and macro benchmarks.

Challenges Healthcare Management Business: ISP Innovation SMEs with Technology Virtualization and Server Consolidation

The adaptation and innovation of the healthcare business strategy during the pandemic and new normal is needed now, for Small and Medium Enterprises (SMEs) which are engaged in Internet Service Providers (ISP) especially in running their business in pandemic also face the future challenging. This study aims to prove that virtualization technology planning, virtualization technology adaptability, and server consolidation services have a positive effect on healthcare management and business, such as operational costs with an impact on more efficient of healthcare small and medium enterprises (SMEs) Internet Service Providers (ISPs) in Indonesia. The data were taken from distributing questionnaires to 77 company representative respondents with the positions of IT Manager, IT Supervisor, and CIO. Data were analyzed by SEM using Smart PLS. The results of the research obtained prove that the operational cost effectiveness of Data Center management is influenced by planning, adaptability, and application of virtualization technology for 5.0. SMES ISPs in Indonesia healthcare sector need to pay attention to new result of planning, adaptability, and implementation of server consolidation services as a determinant of operational and cost effectiveness related to business objectives and management in managing a Data Center in the pandemic, new normal and future challenges.

Server consolidation: A technique to enhance cloud data center power efficiency and overall cost of ownership

Cloud computing is a well-known technology that provides flexible, efficient, and cost-effective information technology solutions for multinationals to offer improved and enhanced quality of business services to end-users. The cloud computing paradigm is instigated from grid and parallel computing models as it uses virtualization, server consolidation, utility computing, and other computing technologies and models for providing better information technology solutions for large-scale computational data centers. The recent intensifying computational demands from multinationals enterprises have motivated the magnification for large complicated cloud data centers to handle business, monetary, Internet, and commercial applications of different enterprises. A cloud data center encompasses thousands of millions of physical server machines arranged in racks along with network, storage, and other equipment that entails an extensive amount of power to process different processes and amenities required by business firms to run their business applications. This data center infrastructure leads to different challenges like enormous power consumption, underutilization of installed equipment especially physical server machines, CO2 emission causing global warming, and so on. In this article, we highlight the data center issues in the context of Pakistan where the data center industry is facing huge power deficits and shortcomings to fulfill the power demands to provide data and operational services to business enterprises. The research investigates these challenges and provides solutions to reduce the number of installed physical server machines and their related device equipment. In this article, we proposed server consolidation technique to increase the utilization of already existing server machines and their workloads by migrating them to virtual server machines to implement green energy-efficient cloud data centers. To achieve this objective, we also introduced a novel Virtualized Task Scheduling Algorithm to manage and properly distribute the physical server machine workloads onto virtual server machines. The results are generated from a case study performed in Pakistan where the proposed server consolidation technique and virtualized task scheduling algorithm are applied on a tier-level data center. The results obtained from the case study demonstrate that there are annual power savings of 23,600 W and overall cost savings of US$78,362. The results also highlight that the utilization ratio of already existing physical server machines has increased to 30% compared to 10%, whereas the number of server machines has reduced to 50% contributing enormously toward huge power savings.