Cloud computing offers a cost-effective and elastic computing paradigm that facilitates large scale data storage and analytics. By deploying virtualization technologies in the datacenter, cloud enables efficient resource management and isolation for various big data applications. Since the hotspots (i.e., overloaded machines) can degrade the performance of these applications, virtual machine mi...

Twelve adaptive image-space decomposition algorithms are presented for sort-first parallel direct volume rendering (DVR) of unstructured grids on distributed-memory architectures. The algorithms are presented under a novel taxonomy based on the dimension of the screen decomposition, the dimension of the workload arrays used in the decomposition, and the scheme used for workload-array creation a...

This report presents LoadBuilder, a distributed environment designed to provide a portable way of empirically studying the effects of various kinds of workloads in local area networks of heterogeneous workstations. This tool is especially intended to build distributed experimentations including composite workload setting, statistics collecting and performance evaluations. The statistical analys...

In many organizations, it is desirable to distribute workload as equally as possible among a group of employees or machines. This paper proposes a performance measure, that we call the Normalized Sum of Square for Workload Deviations (NSSWD), and studies the problem of how to schedule a set of n jobs on m parallel identical processors in order to minimize the NSSWD. The NSSWD criterion is relev...

In this paper, we propose a modified multi-agent system for assembly line balancing. Each worker in the assembly line is regarded as agent, and two neighboring agents exchange the information about the allocated tasks. To balance the workload, an agent having less workload sends a request message to his/her neighboring agent having more workload to exchange tasks between them. Without any centr...

Cloud computing helps to share data and provide many resources to users. Users pay only for those resources as much they used. Cloud computing stores the data and distributed resources in the open environment. The amount of data storage increases quickly in open environment. So, load balancing is a main challenge in cloud environment. Load balancing is helped to distribute the dynamic workload ...

Virtualization technology brings great conveniences to cluster and data center management. By using this technique, we can reconstruct a new computing environment quickly and easily. Compared to the traditional cluster environment, load balancing in a virtualized environment needs to address several new problems. This paper focuses on live migration strategies for load balancing in the virtuali...

The emerging technology in the area of Information technology is Cloud Computing. Cloud Computing is the term associated with the virtualization, networking, software and services offered by web. The elements involved in cloud computing are clients, datacenter and distributed server. One of the main problems in cloud computing is load balancing. Balancing the load means to distribute the worklo...

Cloud computing is very beneficial application which are sharing their resources on different node. There is a large number of user access the data. The basic principal of cloud computing are that data entering by the user is not store locally, but it store in data center on internet. The reliability of the cloud depends on how the loads are being handle. Load balancing means distributing workl...

In its generally essential structure, cloud balancing furnishes an organization with the capacity to convey requisition requests over any number of application deployments spotted in data centers and through cloud-computing suppliers. Cloud balancing takes a broader perspective of provision conveyance and applies specified limits and administration level agreements to each request. The utilizat...