Data Center, Hypervisor-based Server Virtualization & Container-based Virtualization

This assignment assesses the following Unit Learning Outcomes; students should  be able to demonstrate their achievements in following.

1. Apply socio-technical contexts in modern network applications and  management;
2. Utilise common and emerging types of middleware to design and manage  networked applications

Write a report addressing following question with the help of figures and example scenarios.

1. What is a Data Centre and discuss different operation performed in data centre, how data  centres divided in Different tiers based on what criteria’s? Give example of few famous  Australia based Data centres.
2. What is Hypervisor-Based Server Virtualization Technology, its use and explain at least  two examples of it. Also, compare both examples based on their features and limitations.
3. What is container-based virtualization and why we need it? Discuss at least two examples  of it and also, compare both examples based on their features and limitations.

Task 1

Write a report covering and detailing above applications while emphasizing on the following aspects:

• Field and Purpose of the application
• Working model of the application
• Scalability issues
• Features and Weaknesses of the application
• Socio-Technical aspects

Data Center: The data cetane is the facility which is for the housing computer systems and the other associated factors like the telecommunication and the storage systems. This includes the redundancy of the backup of the power supplies and handle the communication connections as well. There are different aspects for business continuity where the company relies on information system for running their operations.

Hypervisor based Server Virtualization Technology: It focus on the functions which leads to work on operating systems and the different applications of computer hardware. The abstraction allows that the host machine is for independent operations with virtual machine as guests that allow VM to share system computing resource like memory space.  

Container Based Virtualization: They mainly focus on virtual isolation with reliability on deploying and running the applications. The working is based on accessing the shared operating systems without virtual machines. The container technology has partitioning roots with Docker system like LXC (Linux Containers)

Data Center: The data center works on handling the operations with proper management of carrier telecommunication network. It provides the hosted applications and provide services to customers, where there are combinations defined for similar data center applications. The operations are required to balance facility and housed equipment to establish a better standardization and modularity.

Hypervisor based Server Virtualization Technology: They are used for working on physical host system with improving the underlying software utilization [1]. Here, the servers are only the host operating systems where the virtualization is based on allowing different VM instances.

Container Based Virtualization

The purpose of it to focus on the applications with approach where the layer runs on application for operating systems. They are for executing the data centers with the virtual machines in cloud. The network topology is based on handling the different challenges and working towards transforming the creation of problem with software environment developers.

Data Center: The working is based on handling the use of organization, processing, store and disseminating of the larger amount of data. The services are based on the focal points which includes air conditioning with virtual data center access that makes it for different organizations and personnel. The client and leasing organizations are working on consolidation and colocation with modern business through use of two or more data center installation with different locations [5].

Hypervisor based Server Virtualization Technology: VM working is based on the running of the machines which are presenting the guest operating system for properly managing the operating system guests.

Container Based Virtualization

They are holding the components which are important for running the desired software. The components generally include the files where the environmental variables and the dependencies are determined through hosting OS and the constrains are for accessing to the physical resources like CPU and storage. The container image files are worked upon through docker images with multiple layers that works on container execution code.

Data Center

The classification of the system is through certified Uptime Institute etc. It includes virtual ranking where the data center tier ranking includes requirements and criteria with infrastructure, levels of redundancy and uptime. It includes 4 tiers which are:

1. Tier 1: They are simple for lower levels of redundancy with larger data centers set with backup cooling system or generator. The uptime is 99.9671%
2. Tier 2: They are for the redundancy and involves backup or the cooling of system. They are 99.9741%
3. Tier 3: The are for meeting the requirements with high redundancy and uptime. It is at 99.982% [2]
4. Tier 4: This is for the involvement of great infrastructure with high redundancy and uptime at 99.995%.

Task 1: Discussion of following Aspects

The example for this is Rack bank which is in central India in SEZ

Hypervisor based Server Virtualization Technology

Type 1: Native or baremetal Hypervisors: The hypervisors run directly on hardware with managing guest operating systems. IBM development includes testing software SIMMON operating system.

Type 2: Hosted hypervisors: They are for handling conventional operations with computer programs. The guest operating systems generally runs on processing on hosts with abstract guest operating coming from the operating systems. The example is VMWare workstations, player.

Container Based Virtualization

They work on handling the Open Container Initiatives which are for the layers of file system and configurations. The specifications are for the runtime and the specification of image. This is based on handling the information that is needed to perform and launch the applications with the services in OCI containers [6]. The container engines executes the images with use of container scheduler with management of deployments. They have a higher portability with dependences that are important for the execution of code.

Data Center

The data architecture and requirements are for the cloud service providers where organization Amazon EC2 satisfied the facilities, with infrastructure, and security requirements with focus on the forms of private data center. The built-in for the Pentagon with dedicated to securing the classified data. The limitations are about the security and the metal structures that leads to problems.

Apple works on the data center network with putting companies complete command and control with infrastructure support through strategic applications [3]. The reality is about how the companies are working with data center capacity in-house and the outsourcing with considering about the corporate data center requirements that are going into facilities from the wholesale data. The problem is about the static discharge problems to damage components. Some of the famous data center solutions are Cisco, Datacom etc.

Hypervisor based Server Virtualization Technology

The features of VM is that it works on multiple user applications to run and allow the multiple operating systems to run virtual machine context [7]. The robust time sharing, and mainframe computers work with increased robustness and security.

The issues of security where containers are less secured than hypervisors. VM tends to isolate applications & OS systems, where applications get compromised with attacking single OS in the container.

Container Based Virtualization

The example of this is Amazon web services and then Dell server for the production.

In AWS, the features are that they work with properly handling the virtuated architecture through abstraction and then substituting the physical machine to it. The applications work with Dockers which are for encapsulation of the files, dependencies and the libraries which works on running on the system OS. There are issues related to the performance problems when connected to the resource contention[ 4].

In Dell: The features of container are for enhancing the flexibility and allowing to move the software applications to distribute the host operating system types. It includes the maximized efficiency with proper storage, CPU and memory. The problems are related to the isolation of the host operations where container tends to share the system with security threats that lead to harming the complete system as well.

Data Center

The data center is for working with minimizing the chances of security breach and then working towards the better telecommunication networking which is for installation of the devices in the spaces.

Hypervisor based Server Virtualization Technology

The socio-technical aspects are related to the security standards where hypervisors are then working on properly detecting of malware and intercepting other operations of OS without any anti-malware software.

Container Based Virtualization

There are multiple containers for running on single OS, where the probability is to end up the occurrences with higher single point failures. Hence, there are developers for singing the containers in a digital format [7].

Conclusion

Data Center: The data centers take hold of the information with use of resources like CPU memory, disk I/O and the network which leads to form a collection of processes as well. There are collection of processes that works with using the server hardware and operating systems, with working on handling the share of kernel resources with fully managing resources and security.

Hypervisor based Server Virtualization Technology

The instances are defined through sharing virtualized hardware resources like Linux, OS and Windows. The operating system level includes the operating system with hyper used stronger variants [8].

Container Based Virtualization

The container-based virtualization is important for the technology developers to work with different workloads and make the information technology atmosphere flexible and scalable. It includes the adopting through larger enterprises with small and medium business where the precise virtual machines are best.

References 

• Pahl, Claus, and Brian Lee. "Containers and clusters for edge cloud architectures--A technology review." In Future Internet of Things and Cloud (FiCloud), 2015 3rd International Conference on, pp. 379-386. IEEE, 2015.
• Morabito, Roberto, Jimmy Kjällman, and Miika Komu. "Hypervisors vs. lightweight virtualization: a performance comparison." In Cloud Engineering (IC2E), 2015 IEEE International Conference on, pp. 386-393. IEEE, 2015.
• Xavier, Miguel G., Marcelo V. Neves, Fabio D. Rossi, Tiago C. Ferreto, Timoteo Lange, and Cesar AF De Rose. "Performance evaluation of container-based virtualization for high performance computing environments." In Parallel, Distributed and Network-Based Processing (PDP), 2013 21st Euromicro International Conference on, pp. 233-240. IEEE, 2013.
• Joy, Ann Mary. "Performance comparison between linux containers and virtual machines." In Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in, pp. 342-346. IEEE, 2015.
• Babu, Anish, M. J. Hareesh, John Paul Martin, Sijo Cherian, and Yedhu Sastri. "System performance evaluation of para virtualization, container virtualization, and full virtualization using xen, openvz, and xenserver." In Advances in Computing and Communications (ICACC), 2014 Fourth International Conference on, pp. 247-250. IEEE, 2014.
• Engelen, Ewald, and Michael H. Grote. "Stock exchange virtualisation and the decline of second-tier financial centres—the cases of Amsterdam and Frankfurt." Journal of Economic Geography9, no. 5 (2009): 679-696.
• Verdouw, C. N., A. J. M. Beulens, and J. G. A. J. Van Der Vorst. "Virtualisation of floricultural supply chains: A review from an Internet of Things perspective." Computers and electronics in agriculture99 (2013): 160-175.
• Ren, Lei, Lin Zhang, Fei Tao, Xiaolong Zhang, Yongliang Luo, and Yabin Zhang. "A methodology towards virtualisation-based high performance simulation platform supporting multidisciplinary design of complex products." Enterprise Information Systems6, no. 3 (2012): 267-290.