There are several different techniques for adapting existing VM programs to regain control. These techniques include: Load balancing, proactive fault tolerance, and de-duplication. These are all methods that can use to help increase VM performance during the migration process.
Memory page re-transmission problem affects service downtime and total migration time
A re-transmission of a memory page can wreak havoc on the performance of your virtual machine. Not to mention the cost of network bandwidth. Luckily, there are several techniques to shave some of that pesky overhead. For example, you can load your servers, load your network, and copy some of your VM’s memory onto your new host. These methods will shave some of the hassles, and you will still be able to enjoy your VM.
The best and most practical way to do this is to deploy a specialized tool called a virtualization solution. This software provides the flexibility to migrate virtual machines from one host to another without disrupting service. The best part is that it can performed without the need for any manual intervention.
Identification of specific gaps and research challenges to improve the performance of live VM migration
Live VM migration is a function that transfers components from a source to a destination physical machine. This technique widely used in virtual cloud environments. It is the best technique for adapting existing VM programs to regain control. The function also helps in reducing power consumption and improves resource utilization. It is a good method for cloud power efficiency. However, it has several limitations. For example, it can result in performance degradation, if the link speed is not fast enough.
Several studies have explored important aspects of VM migration. These studies have included a review of real-time migration guidelines, evaluation of several different VM real-time migration technologies, and analysis of various performance metrics.
The authors identified several critical aspects in VM migration, including data transfer, application service downtime, total transmission time, and VM-to-host scalability. They also proposed a classification system of real-time VM migration methods and developed a taxonomy of VM migration approaches.
Comparison of existing work that used the de-duplication approach during migration
For large scale applications, memory consumption is a real concern. In the past, researchers have developed solutions to address the problem. One such solution is the de-duplication strategy. The idea is to identify memory pages which are similar and send them to one or more destination servers. The idea is to avoid the need to migrate the entire contents of the storage system and thereby reduce the cost of the storage system.
Similarly, there are several other approaches for adapting existing VM programs to regain control. Some of them use the same concept as mentioned above, while others are more complex. For instance, some implement a combination of a centralized VM replication and scheduling architecture, which referred to as a hybrid. Another interesting approach involves de-duplication of the virtual disk file at run time.
Adding or removing the number of VM’s, “best” strategy can able to re-balance the system in 4-15 min
Adding or removing the number of virtual machines can affect the system’s performance. This can cause network contention and downtime. Increasing the migration throughput requires more bandwidth and CPU cycles.
To address this problem, several researchers have suggested different approaches. They all focus on improving the migration performance of multiple VMs.
The most crucial parameter in VM performance is link speed. A lower link speed is inversely proportional to the total migration time. However, the speed of the link is also dependent on the VM’s workload. During the migration, a large amount of data transferred. This can negatively impact the performance of the VM and the corresponding running application.
Some of the existing approaches deal with this issue by combining VM replication and scheduling. Others propose a dynamic VM allocation methodology. Another approach involves a probabilistic prediction model. This model uses the splay tree and Least Recent Used cache algorithms to predict the upcoming migration latency.
Load balancing and proactive fault tolerance
Load balancing and proactive fault tolerance in VMware virtual machines are important factors in minimizing application downtime. These often used to balance the load on the active servers or for continuing services after a failover.
In this article, we will describe a few techniques that can implemented for this purpose. First, we will examine the pre-copy technique. This is a technique for relocating VM processes and independent instruction sets from a source server to a destination one.
The main advantage of this approach is that it reduces the adverse effects of relocating a VM on the performance of the running applications. Moreover, it can perform on both virtual and physical machines.
The other method, a fractional hybrid pre-copy migration technique, transfers a fraction of memory pages and the storage contents to the target server. The authors demonstrate that this technique can reduce the total migration time by 25% to 60%.
