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

Electronics ◽  
2021 ◽  
Vol 10 (17) ◽  
pp. 2058
Author(s):  
Sewoog Kim ◽  
Heekwon Park ◽  
Jongmoo Choi
Keyword(s):  
Cloud Computing ◽  
Performance Degradation ◽  
Server Consolidation ◽  
Core Technology ◽  
Adaptive Polling

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.

TVGuarder

2018 ◽  
pp. 638-658
Author(s):  
Li Lin ◽  
Shuang Li ◽  
Bo Li ◽  
Jing Zhan ◽  
Yong Zhao
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Performance Degradation ◽  
Experimental Results ◽  
Important Data ◽  
Threat Model ◽  
Security Concerns

Cloud computing has a most vulnerable security concerns as virtualization. This paper presents a Trace-enable Virtualization protection framework named TVGuarder, which protects IaaS user's important data from being illegally accessed or maliciously damaged by insider attacks. A threat model is established to characterize cloud-oriented insider attacks and countermeasures are proposed in TVGuarder. First, LSM hooks in host OS kernel are leveraged to enforce that VM images could only be accessed by host virtualization service. Second, a trusted loading mechanism is proposed to prevent tampered or disguised virtualization process from being executed in Host OS. Third, a log-based back tracing mechanism is designed to record full call trace of VM operations and guarantee that only legitimate VM operations are allowed. TVGuarder has been implemented in Openstack platform and several comprehensive experiments are conducted. Experimental results show that TVGuarder can identify several important insider attacks and protect virtual machine images with only a small performance degradation.

Server Consolidation in Cloud Computing

2018 ◽  
Author(s):  
Nikos Tziritas ◽  
Saad Mustafa ◽  
Maria Koziri ◽  
Thanasis Loukopoulos ◽  
Samee U. Khan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Server Consolidation

Research on Resource Scheduling in Cloud Computing: Issues and Solutions

2014 ◽  
Vol 644-650 ◽  
pp. 1801-1804
Author(s):  
Hui Suo ◽  
He Hua Yan
Keyword(s):  
Cloud Computing ◽  
Single Point ◽  
Resource Scheduling ◽  
Rapid Response ◽  
Metadata Management ◽  
Scheduling Policies ◽  
The Core ◽  
Core Technology ◽  
Replica Management ◽  
Hadoop Platform

.Resource scheduling is the core technology to provide efficient and reliable services in cloud computing, and it is the basis of cloud computing to implement quick deploy and rapid response and save money. This article firstly introduces the research status of the resource scheduling in cloud computing including resource scheduling policies, replica technology and metadata management. Next we analyze the issues of Hadoop platform in resource scheduling including high latency, small files I/O, single point of failure and hot data. On the basis of these, the effective resource scheduling and management mechanisms are given including dynamic replica management, metadata management and horizontal scalability.

scholarly journals Efficient utilization of energy consumption in cloud environment

2018 ◽  
Vol 7 (1.7) ◽  
pp. 189
Author(s):  
G Soniya Priyatharsini ◽  
N Malarvizhi
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Data Center ◽  
Virtual Machines ◽  
Vital Role ◽  
Cloud Environment ◽  
Efficient Utilization ◽  
Server Consolidation ◽  
Resource Request

In the tremendous growth of the cloud computing, server consolidation plays a vital role. It gives more benefits also it gives the pollution towards the nature. Inspite of avoiding this, saving of energy in the data center or the cluster is more important. In this regard this paper proposes a method of which reduces the energy consumption. This is done by identifying the active physical machines and the remaining machines were kept in the sleep or off mode according to the user’s availability. Here Virtual Machines (VMs) are grouped under the particular types. Based on this type the customer’s resource request can be maintained.

scholarly journals A Hybrid Technique for Server Consolidation in Cloud Computing Environment

2020 ◽  
Vol 20 (1) ◽  
pp. 36-52
Author(s):  
C. Vijaya ◽  
P. Srinivasan
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Virtual Machine Placement ◽  
Hybrid Technique ◽  
Computing Environment ◽  
Placement Problem ◽  
Cloud Computing Environment ◽  
Server Consolidation ◽  
Memory Utilization

AbstractThe goal of data centers in the cloud computing environment is to provision the workloads and the computing resources as demanded by the users without the intervention of the providers. To achieve this, virtualization based server consolidation acts as a vital part in virtual machine placement process. Consolidating the Virtual Machines (VMs) on the Physical Machines (PMs) cuts down the unused physical servers, decreasing the energy consumption, while keeping the constraints for CPU and memory utilization. This technique also reduces the resource wastage and optimizes the available resources efficiently. Ant Colony Optimization (ACO) that is a well-known multi objective heuristic algorithm and Grey Wolf Algorithm (GWO) has been used to consolidate the servers used in the virtual machine placement problem. The proposed Fuzzy HAGA algorithm outperforms the other algorithms MMAS, ACS, FFD and Fuzzy ACS compared against it as the number of processors and memory utilization are lesser than these algorithms.

scholarly journals Load Balancing and Server Consolidation in Cloud Computing Environments: A Meta-Study

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 141868-141887 ◽  
Author(s):  
Mohammed Ala'Anzy ◽  
Mohamed Othman
Keyword(s):  
Cloud Computing ◽  
Load Balancing ◽  
Server Consolidation ◽  
Computing Environments

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

2021 ◽  
Vol 17 (3) ◽  
pp. 155014772199721
Author(s):  
Mueen Uddin ◽  
Mohammed Hamdi ◽  
Abdullah Alghamdi ◽  
Mesfer Alrizq ◽  
Mohammad Sulleman Memon ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Center ◽  
Data Centers ◽  
Scheduling Algorithm ◽  
Cloud Data Center ◽  
Server Consolidation ◽  
Cloud Data ◽  
Task Scheduling Algorithm ◽  
Cloud Data Centers

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.

Comprehensive survey on energy-aware server consolidation techniques in cloud computing

2021 ◽  
Author(s):  
Nisha Chaurasia ◽  
Mohit Kumar ◽  
Rashmi Chaudhry ◽  
Om Prakash Verma
Keyword(s):  
Cloud Computing ◽  
Energy Aware ◽  
Server Consolidation ◽  
Comprehensive Survey

E-Learning Exploration Based on Cloud Computing

2013 ◽  
Vol 333-335 ◽  
pp. 2226-2230 ◽  
Author(s):  
An Wang ◽  
Le Hui Huang
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Network Learning ◽  
Computing Model ◽  
Core Technology ◽  
Generation Network ◽  
E Learning ◽  
Network Platform ◽  
Good Learning ◽  
Positive Effect

Cloud computing is a new proposed computing model based on grid computing and the core technology of next generation network platform. It provides reliable and secure data storage, convenient web services and strong capability of calculation. In education, cloud computing will be the fundamental environment and platform of future network learning. It will have positive effect in building good learning environment, integration of resources and other aspects of e-learning.

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