Design on Framework for Dynamic Monitoring of Virtual Machines

2014 ◽  
Vol 530-531 ◽  
pp. 667-670
Author(s):  
Ke Ming Chen
Keyword(s):  
Operating System ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Dynamic Monitoring ◽  
Cloud Platform ◽  
Monitoring Framework ◽  
New Framework

In order to ensure that the cloud platform client runtime kernel virtual machine security, this paper proposes a new framework for dynamic monitoring of virtual machines, it is for the kernel rootkit attacks, study the cloud client virtual machine operating system kernel safety, presented Hyperchk virtual machine dynamic monitoring framework. This framework mainly for kernel rootkit attacks, ensure that customers running virtual machine kernel security.

A Defense Mechanism Based on Improved Allocation Strategy of VMs Co-Resident Attack in Power Cloud Platform

2020 ◽  
Vol 13 ◽  
Author(s):  
Yuancheng Li ◽  
Pan Zhang ◽  
Daoxing Li ◽  
Jing Zeng
Keyword(s):  
Virtual Machine ◽  
Simulation Experiment ◽  
Virtual Machines ◽  
Defense Mechanism ◽  
Security Threats ◽  
Allocation Strategy ◽  
Cloud Platform ◽  
Deployment Strategy ◽  
Dbscan Algorithm ◽  
Maximum Minimum

Background: Cloud platform is widely used in electric power field. Virtual machine co-resident attack is one of the major security threats to the existing power cloud platform. Objective: This paper proposes a mechanism to defend virtual machine co-resident attack on power cloud platform. Method: Our defense mechanism uses the DBSCAN algorithm to classify and output the classification results through the random forest and uses improved virtual machine deployment strategy which combines the advantages of random round robin strategy and maximum/minimum resource strategy to deploy virtual machines. Results: we made a simulation experiment on power cloud platform of State Grid and verified the effectiveness of proposed defense deployment strategy. Conclusion: After the virtual machine deployment strategy is improved, the coverage of the virtual machine is remarkably reduced which proves that our defense mechanism achieves some effect of defending the virtual machine from virtual machine co-resident attack.

scholarly journals An Anomaly Detection Algorithm of Cloud Platform Based on Self-Organizing Maps

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Jun Liu ◽  
Shuyu Chen ◽  
Zhen Zhou ◽  
Tianshu Wu
Keyword(s):  
Anomaly Detection ◽  
Virtual Machine ◽  
Large Scale ◽  
Virtual Machines ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Cloud Platform ◽  
Self Organizing Maps ◽  
Detection Speed ◽  
Self Organizing

Virtual machines (VM) on a Cloud platform can be influenced by a variety of factors which can lead to decreased performance and downtime, affecting the reliability of the Cloud platform. Traditional anomaly detection algorithms and strategies for Cloud platforms have some flaws in their accuracy of detection, detection speed, and adaptability. In this paper, a dynamic and adaptive anomaly detection algorithm based on Self-Organizing Maps (SOM) for virtual machines is proposed. A unified modeling method based on SOM to detect the machine performance within the detection region is presented, which avoids the cost of modeling a single virtual machine and enhances the detection speed and reliability of large-scale virtual machines in Cloud platform. The important parameters that affect the modeling speed are optimized in the SOM process to significantly improve the accuracy of the SOM modeling and therefore the anomaly detection accuracy of the virtual machine.

scholarly journals Virtualized DB Clustering and Server Consolidation: It’s Implementation with a Live Case Study

2010 ◽  
pp. 266-270
Author(s):  
Ram Prasad Patnaik ◽  
Dambaru Dhara Nahak
Keyword(s):  
Operating System ◽  
Virtual Machine ◽  
Operating Systems ◽  
Virtual Machines ◽  
Computer Hardware ◽  
Tool Development ◽  
Single Application ◽  
Server Consolidation ◽  
Independent Operating System

Virtualization is a technology that transforms today’s powerful computer hardware, which was designed to run a single operating system and a single application, to run multiple virtual machine having independent operating system. Many times, we observes that the server resources been underutilized. Virtualization allows us to efficiently utilize the available resources on physical machine. In virtualization environment, different virtualized machines can have different host operating system (i.e. different versions windows, Linux, Solaris etc). The most important concept to understand in virtualization is that, the virtual machines operating systems are independent from physical server operating system. This paper is an attempt to illustrate and appreciate the concept of virtualization and its implementation by using a live case study which we have implemented for one of our leading ETL tool development for a client. Case study elaborates the implementation details about Virtualized DB Clustering and Server Consolidation.

Research and Realization of I/O Monitoring Based on Xen Cloud Platform

2013 ◽  
Vol 791-793 ◽  
pp. 931-935
Author(s):  
Fa Gui Liu ◽  
Wen Yang Wang ◽  
Zhi Xiong ◽  
Jun Lin
Keyword(s):  
Mobile Technology ◽  
Virtual Machines ◽  
Operation Management ◽  
Functional Testing ◽  
Cloud Platform ◽  
Monitoring Tools ◽  
Monitoring Framework ◽  
Virtualization Technology ◽  
Client Side ◽  
It Enterprises

With the wide application of cloud platform, how to better utilize virtualization technology has become a great challenge for many IT enterprises. This paper proposed an I/O monitoring framework for XCP-based platform. Combining mobile technology, monitoring tools on both server and client side are developed respectively. Functional testing is carried out on the I/O monitoring tools, whose effectiveness and reliability are verified. The XCP-based I/O monitor platform is able to supervise the I/O of virtual machines, which provides a great way for cloud platform operation management.

scholarly journals Containerization of Server Services

2020 ◽  
Vol 3 (1) ◽  
pp. 320-330
Author(s):  
Adam Muc ◽  
Tomasz Muchowski ◽  
Albert Zawadzki ◽  
Adam Szeleziński
Keyword(s):  
Operating System ◽  
Virtual Machine ◽  
Web Application ◽  
Web Applications ◽  
Virtual Machines ◽  
Network Services ◽  
Network Configuration ◽  
Network Infrastructure ◽  
The Cost ◽  
The Way

AbstractBusinesses are increasingly confronted with server-related problems. More and more, businesses are enabling remote working and need to rely on network services. The provision of network services requires rebuilding the network infrastructure and the way employees are provided with data. Web applications and server services use common dependencies and require a specific network configuration. This often involves collisions between network ports and common dependencies’ configuration. This problem can be solved by separating the conflicting applications into different servers, but this involves the cost of maintaining several servers. Another solution may be to isolate applications with virtual machines, but this involves a significant overhead on server resources, as each virtual machine must be equipped with an operating system. An alternative to virtual machines can be application containerization, which is growing in popularity. Containerization also allows to isolate applications, but operates on the server’s native operating system. This means eliminating the overhead on server resources present in virtual machines. This article presents an example of web application containerization.

Distance Aware VM allocation process to minimize energy consumption in cloud computing

2019 ◽  
Vol 12 ◽  
Author(s):  
Gurpreet Singh ◽  
Manish Mahajan ◽  
Rajni Mohana
Keyword(s):  
Resource Allocation ◽  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Research Work ◽  
Service Level Agreement ◽  
Service Level ◽  
Physical Machine ◽  
Allocation Process

BACKGROUND: Cloud computing is considered as an on-demand service resource with the applications towards data center on pay per user basis. For allocating the resources appropriately for the satisfaction of user needs, an effective and reliable resource allocation method is required. Because of the enhanced user demand, the allocation of resources has now considered as a complex and challenging task when a physical machine is overloaded, Virtual Machines share its load by utilizing the physical machine resources. Previous studies lack in energy consumption and time management while keeping the Virtual Machine at the different server in turned on state. AIM AND OBJECTIVE: The main aim of this research work is to propose an effective resource allocation scheme for allocating the Virtual Machine from an ad hoc sub server with Virtual Machines. EXECUTION MODEL: The execution of the research has been carried out into two sections, initially, the location of Virtual Machines and Physical Machine with the server has been taken place and subsequently, the cross-validation of allocation is addressed. For the sorting of Virtual Machines, Modified Best Fit Decreasing algorithm is used and Multi-Machine Job Scheduling is used while the placement process of jobs to an appropriate host. Artificial Neural Network as a classifier, has allocated jobs to the hosts. Measures, viz. Service Level Agreement violation and energy consumption are considered and fruitful results have been obtained with a 37.7 of reduction in energy consumption and 15% improvement in Service Level Agreement violation.

KylinX

2021 ◽  
Vol 37 (1--4) ◽  
pp. 1-27
Author(s):  
Yiming Zhang ◽  
Chengfei Zhang ◽  
Yaozheng Wang ◽  
Kai Yu ◽  
Guangtao Xue ◽  
...  
Keyword(s):  
Operating System ◽  
Virtual Machine ◽  
Web Server ◽  
Experimental Results ◽  
Similar Performance ◽  
Dynamic Mapping ◽  
Memory Footprint ◽  
Dynamic Library ◽  
High Flexibility

Unikernel specializes a minimalistic LibOS and a target application into a standalone single-purpose virtual machine (VM) running on a hypervisor, which is referred to as (virtual) appliance . Compared to traditional VMs, Unikernel appliances have smaller memory footprint and lower overhead while guaranteeing the same level of isolation. On the downside, Unikernel strips off the process abstraction from its monolithic appliance and thus sacrifices flexibility, efficiency, and applicability. In this article, we examine whether there is a balance embracing the best of both Unikernel appliances (strong isolation) and processes (high flexibility/efficiency). We present KylinX, a dynamic library operating system for simplified and efficient cloud virtualization by providing the pVM (process-like VM) abstraction. A pVM takes the hypervisor as an OS and the Unikernel appliance as a process allowing both page-level and library-level dynamic mapping. At the page level, KylinX supports pVM fork plus a set of API for inter-pVM communication (IpC, which is compatible with conventional UNIX IPC). At the library level, KylinX supports shared libraries to be linked to a Unikernel appliance at runtime. KylinX enforces mapping restrictions against potential threats. We implement a prototype of KylinX by modifying MiniOS and Xen tools. Extensive experimental results show that KylinX achieves similar performance both in micro benchmarks (fork, IpC, library update, etc.) and in applications (Redis, web server, and DNS server) compared to conventional processes, while retaining the strong isolation benefit of VMs/Unikernels.

Virtual Machines Scheduling Algorithm Based on Multi-Objective Optimization in Cloud Computing

2014 ◽  
Vol 1046 ◽  
pp. 508-511
Author(s):  
Jian Rong Zhu ◽  
Yi Zhuang ◽  
Jing Li ◽  
Wei Zhu
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Virtual Machines ◽  
Scheduling Algorithm ◽  
Machine Scheduling ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Virtual Machine Scheduling ◽  
Set Up

How to reduce energy consumption while improving utility of datacenter is one of the key technologies in the cloud computing environment. In this paper, we use energy consumption and utility of data center as objective functions to set up a virtual machine scheduling model based on multi-objective optimization VMSA-MOP, and design a virtual machine scheduling algorithm based on NSGA-2 to solve the model. Experimental results show that compared with other virtual machine scheduling algorithms, our algorithm can obtain relatively optimal scheduling results.

scholarly journals eTPM: A Trusted Cloud Platform Enclave TPM Scheme Based on Intel SGX Technology

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3807 ◽  
Author(s):  
Haonan Sun ◽  
Rongyu He ◽  
Yong Zhang ◽  
Ruiyun Wang ◽  
Wai Hung Ip ◽  
...  
Keyword(s):  
Virtual Machines ◽  
Trusted Computing ◽  
Information Leakage ◽  
Research Topic ◽  
Cloud Environment ◽  
Cloud Platform ◽  
Computing Technology ◽  
Security Issues ◽  
Runtime Environment ◽  
Cloud Users

Today cloud computing is widely used in various industries. While benefiting from the services provided by the cloud, users are also faced with some security issues, such as information leakage and data tampering. Utilizing trusted computing technology to enhance the security mechanism, defined as trusted cloud, has become a hot research topic in cloud security. Currently, virtual TPM (vTPM) is commonly used in a trusted cloud to protect the integrity of the cloud environment. However, the existing vTPM scheme lacks protections of vTPM itself at a runtime environment. This paper proposed a novel scheme, which designed a new trusted cloud platform security component, ‘enclave TPM (eTPM)’ to protect cloud and employed Intel SGX to enhance the security of eTPM. The eTPM is a software component that emulates TPM functions which build trust and security in cloud and runs in ‘enclave’, an isolation memory zone introduced by SGX. eTPM can ensure its security at runtime, and protect the integrity of Virtual Machines (VM) according to user-specific policies. Finally, a prototype for the eTPM scheme was implemented, and experiment manifested its effectiveness, security, and availability.

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