My IT Blog

What is Hypervisor in Cloud Computing and its types? The hypervisor is a virtual machine monitor (VMM) that manages resources for virtual machines. The name hypervisor is suggested as it is a supervisory tool for the virtual machines. There are mainly two types of hypervisors : • Type-1: the guest Vm runs directly over the host hardware, e.g Xen, Hyper-V, VmWare ESXi • Type-2: the guest Vm runs over hardware through a host OS, e.g Kvm, Oracle virtualbox Are Type-1 Hypervisors better in performance than Type-2 Hypervisors and Why? Yes the Type-1 Hypervisors are better in performance as compared to Type-2 hypervisors because Type-1 hypervisors does not run through a host OS, they utilize all resources directly from Host hardware. In cloud implementation Type-1 hypervisors are used rather than Type-2 because Cloud servers need to run multiple OS images and it should be noted that if OS images are run on host a OS as in case of Type-2, the resources will get wasted. What are

How does cloud computing provides on-demand functionality? Cloud computing is a metaphor used for internet. It provides on-demand access to virtualized IT resources that can be shared by others or subscribed by you. It provides an easy way to provide configurable resources by taking it from a shared pool. The pool consists of networks, servers, storage, applications and services. What is the difference between scalability and elasticity? Scalability is a characteristic of cloud computing through which increasing workload can be handled by increasing in proportion the amount of resource capacity. It allows the architecture to provide on demand resources if the requirement is being raised by the traffic. Whereas, elasticity is being one of the characteristic provide the concept of commissioning and decommissioning of large amount of resource capacity dynamically. It is measured by the speed by which the resources are coming on demand and the usage of the resources. What are the

Author:     Johan  De  Gelas Page 1 Introduction First dual-core in 2005, then quad-core in 2007: the multi-core snowball is rolling. The desktop market is still trying to find out how to wield all this power; meanwhile, the server market is eagerly awaiting the octal-cores in 2009. The difference is that the server market has a real killer application, hungry for all that CPU power: virtualization. While a lot has been written about the opportunities that virtualization brings (consolidation, hosting legacy applications, resource balancing, faster provisioning...), most publications about virtualization are rather vague about the "nuts and bolts". We talked to several hypervisor architects at VMWorld 2008. In this article, we'll delve a bit deeper as we look to understand the impact of virtualization on performance. Performance? Isn't that a non-issue? Modern virtualization solutions surely do not lose more than a few percent in performance, right? We'l