In a Cloud computing environment, the workload fluctuates dynamically producing undesirable situations such as load imbalance, lower utilization or workload hotspots. In such cases, virtual machine migration is a potential solution. However, an algorithm based on a single objective (e.g. service-level agreement) is usually used to direct the migration process. On the contrary, there exist uncon...

Earlier migration in males than in females is the commonest pattern in migrating passerines and is positively related to size dimorphism and dichromatism. The early arrival of males is a costly trait that may confer reproductive advantages in terms of better territories and/or mates. Given the physiological cost of migration, early migrants are those in best condition and accordingly the preval...

At least three factors in the existing migrating systems make them less suitable in Grid systems especially when the goal is to improve the response times for individual applications separate policies for suspension and migration of executing applications employed by these migration systems, the use of pre-defined conditions for suspension and migration and the lack of knowledge of the remainin...

Load balance mechanism does the vital role in high performance computing (HPC) and energy efficient computing (EEC). An effective load balance mechanism achieves high performance resource management. Several load management platform (e.g. Openstack, Nebula and Eucaluptus) available to simulate/perform status of algorithm. Load balance manager should be able to customize the resource management ...

Distributed Systems are useful for computation and storage of large scale data at dispersed location. Distributed File System (DFS) is a subsystem of Distributed System. DFS is a means of sharing of storage space and data. Servers, Storage devices and Clients are on dispersed location in DFS. Fault tolerance and Scalability are two main features of distributed file system. Performance of DFS is...

The goal of storage management is to maximize the overall utility of the storage system by continuously tuning the amount of resources allocated to multiple independent competing applications. Due to variations in access characteristics, service level objectives, and exception events such as failures and load surges, there is a need to invoke corrective actions such as data migration to modify ...

This paper reports our experience in adding process migration to the distributed operating system Amoeba, and the results of a series of experiments to evaluate its usefulness for load balancing. After describing our design goals, we present our implementation for Amoeba, and performance figures which indicate that the speed of process migration is limited only by the throughput of the network ...

Abstrac: The proposed system has addressed issues that are imperative to Grid computing environments by introducing job migration algorithms. The proposed algorithms differ within the manner load balancing is disbursed and is shown to be cost effective in minimizing the response time on Grid environments. The algorithm is enhanced for large-scale systems to take into account the job migration v...

Green cloud data center has become a research hotspot of virtualized cloud computing architecture. And load balancing has also been one of the most important goals in cloud data centers. Since live virtual machine (VM) migration technology is widely used and studied in cloud computing, we have focused on location selection (migration policy) of live VM migration for power saving and load balanc...

The fast growing demand for computational power utilized by modern applications with rapidly changing Cloud computing technology have directed to the foundation of large-scale virtualized data centers. Such data centers consume massive amounts of electrical energy resulting in high operating costs and carbon dioxide (CO2) emissions. Dynamic consolidation of virtual machines (VMs) using Dynamic ...