The Problem Of Cloud Computing

“The VMware strategy is to help customers achieve cloud-like efficiency and operational improvements across the major IT infrastructure investment areas” (Steve Herrod, 2010). To date this strategy has involved products and services targeting complexity in datacenter infrastructure (e.g. VMware vSphere™ and VMware vCenter™ Server), desktops (e.g. VMware View™ and VMware Fusion®), and application development (e.g. SpringSource, VMware Lab Manager, and VMware Workstation). With this, Zimbra,

Schaffer, H. E., Averitt, S. F., Hoit, M. I., Peeler, A., Sills, E. D., & Vouk, M. A. (2009, July). NCSU's Virtual Computing Lab: A Cloud Computing Solution. Computer, 94-97.

Moving from physical machines to Virtual machines can be a daunting task and many companies will take into account unforeseen issues that can be mitigated but there are instances that issues will arise and there are tested and tried methods available to move from physical to Virtual machines as well as hosting your own virtualized cloud. We are going to talk about some of the deployment methods as well as how cloud computing is going to be beneficial for the organization to include traditional Computing and our own computing. Will also contrast how major companies such as Amazon and IBM perform their migration and how companies will perform the migration on their own without their help. Next we will examine a few challenges as well as security concerns that might arise due to hosting your own cloud and migrating from Legacy servers and physical servers into newer virtualize machines.

A technology deployment approach having the potential to be of assistance to global organizations to make better use of IT resources to augment performance and flexibility is rightly called Cloud computing. (Polze & Tröger, 2011) The essential automation of cloud-based technology facilitates organizations entrée to the precise computing resource and that also at a perfect time for a reasonable price. Cloud-based services, in addition to this, are packaged in a manner that explicit workloads are more effortlessly provisioned via the use of refined automation software. Dramatic enhancements in productivity are being experienced by users of these cloud services and as a result have reliable and regular access to the accurate mix of technology to decipher business problems. At the same time as these productivity expansions results from the ability of cloud computing to lift intricacy away from a single user, the benefits in terms of cost and productivity of the cloud rely on an exceedingly refined underlying infrastructure. (Forbes.com, 2015)

cloud computing permits business clients to scale here and there their asset utilization focused around requirements. A significant number of the touted additions in the cloud model originate from asset multiplexing through virtualization engineering. In this paper, we exhibit a framework that uses virtualization innovation to allot server farm assets alterably focused around provision requests and help green figuring by improving the amount of servers being used. We present the idea of "skewness" to measure the unevenness in the multi-dimensional asset use of a server. By minimizing skewness, we can join diverse sorts of workloads pleasantly and enhance the general usage of server assets. We create a set of heuristics that forestall over-burden in the framework viably while sparing vitality utilized. Follow driven recreation and trial outcomes show that our calculation accomplishes great execution.

Virtualization has rapidly grown from a technology. It used for labs and development work to a core IT infrastructure technology. Virtualization has always been a complex technology, for reducing this complexity Microsoft has founded a various virtualization products with similar-sounding yet nondescript names such as Hyper-V, App-V, and MED-V ,Microsoft User Environment Virtualization (UE-V),Remote Desktop Services, and system center Virtual Machine Manager. Each one is designed to provide a solution to a different business problem. To understand this virtualization we need to know about the Microsoft virtualization terminology and methodology.

For cloud computing systems to function optimally, the individual components of the network of computing resources must function optimally. Thus, the importance of keeping track of the performance of these components is apparent. In addition to this, the providers of the cloud service need to

Abstract: Cloud Computing as a new enterprise model has become popular to provide on-demand services to user as needed. Cloud Computing is essentially powerful computing paradigm to deliver services over the network. Computing at the scale of the Cloud system allows users to access the enormous resources on-demand. However, a user demand on resources can be various in different time and maintaining sufficient resources to meet peak resource requirements all the time can be costly. Therefore, dynamic scalability which can also be called as elasticity is a critical key point to the success of Cloud Computing environment. Dynamic resizing is a feature which allows server to resize the virtual machine to fill the new requirement of resources in a cloud environment. Though there are enormous applications hosted on cloud now a days, but the next big thing which will be focused on will be the elasticity. In this paper, an effort has been put to explain the cloud elasticity concept and how it will benefit the Cloud implementers in reducing operation cost and also to improve the system’s performance as a whole.

In the paper [3], the authors propose a way for consumers to measure the elasticity properties of different cloud platforms. The objective of the research is to help a consumer to measure and compare elasticity of cloud providers (e.g., how elastic is Amazon EC2 compared to Microsoft Azure) using the available information provided through cloud platform’s API. The authors defined the elasticity metrics based on financial penalties for over-provisioning and under-provisioning of the cloud resources. Over-provisioning is a state when a consumer is paying more than necessary for the allocated resources to support a workload while the costs for under-provisioning is the result of unacceptable latency or unmet

“Cloud Computing‟ is the next natural step in the evolution of on-demand information technology services and products. To a large extent Cloud Computing will be based on virtualized resources” [2].

There has been a massive transition from the in-house IT Infrastructure to the Cloud Computing. Many big and small organizations have already successfully migrated all of their data, operations, and other key IT functions to the leading Cloud Computing providers. According to latest research the

In the case of IaaS with this model focusing on the management virtual machines(VM). The risk is dealing with the virtual machines themselves and the data they hold. To mitigate this risk, the chief security officer (CSO) should outlay a governance framework to enable our business to put controls in place requiring how VM’s are created and spun down which would avoid uncontrolled access and cost increases. (Mark O’Neill, Vordel, SaaS, PaaS, and IaaS: A security checklist for cloud models)

The Cloud platform being the hot topic in recent days every organization are trying to move their servers and client operation to the cloud (rackspace, 2016). The main reason for the system migration to cloud platforms would be.

Cloud computing is a wide topic and many researches are focused on improving the technology and facilitating the use of the technology. One of the concepts that have evolved to felicitate the use of the Cloud technology is the Cloud services which are offered by different Cloud providers. They are mainly grouped into three categories [10] as, Infrastructure as a Service (IaaS) provides an environment for deploying, running and managing virtual machines and storage, Platform as a Service (PaaS) provides a platform for developing other applications on top of it, Software as a Service (SaaS) provides access to complete applications as a service, such as Customer Relationship Management (CRM) [11]. Due to this diversity of cloud offerings, an important challenge for customers is to discover who the exact cloud providers that can satisfy their requirements. Often, there may be trade-offs between different functional and non-functional requirements fulfilled by different cloud providers. This makes it difficult to evaluate service levels of different Cloud providers in an objective way. Therefore, it is not sufficient to

The monitoring data has a monitoring novel layered an is stratified in for main layers: the first is the physical infrastructure which covers the monitoring of physical resources involved in the private cloud from processing and storage devices to network equipment should be monitored. Second, the virtual infrastructure which covers the monitoring of virtual resources involved in the private and public cloud this increasing