As virtual machines (VMs) are used for a wider range of applications, we encounter the need to integrate virtual machine provisioning models into the current site resource management infrastructure as seamlessly as possible. To address such requirements, we describe an approach to VM management that uses the ideas of multi-level scheduling to integrate VM provisioning into existing job schedule...

Previous techniques for the management and control of optical transport networks are proving inadequate in today’s rapidly evolving multivendor environments. This article examines the issues and challenges involved in developing a standardized optical network control plane. The control of optical transport networks is decomposed into provisioning models, a circuit provisioning process based on ...

The current Cloud infrastructure services (IaaS) market employs a resource-based selling model: customers rent nodes from the provider and pay per-node per-unit-time. This selling model places the burden upon customers to predict their job resource requirements and durations. Inaccurate prediction by customers can result in over-provisioning of resources, or under-provisioning and poor job perf...

Grids enable sharing, selection and aggregation of computational resources, storage resources, and scientific instruments belonging to multiple institutions. Scientific collaborations routinely choose Grids to fulfil heavy computational requirements. Recent evidence, however shows that most Grids work in isolation, and with different utilisation levels. This thesis explores mechanisms and techn...

Accurately characterizing the resource usage of an application at various levels in the memory hierarchy has been a long-standing research problem. Existing characterization studies are either motivated by specific allocation problems (e.g., memory page allocation) or they characterize a specific memory resource (e.g., L2 cache). The studies thus far have also implicitly assumed that there is n...

In many clusters and datacenters, application frameworks are used that offer programming models such as Dryad and MapReduce, and jobs submitted to the clusters or datacenters may be targeted at specific instances of these frameworks, for example because of the presence of certain data. An important question that then arises is how to allocate resources to framework instances that may have highl...

In Virtualized Data Center (VDC), fixed allocation of virtual machines (VMs)’ resources usually make overloading or underloading condition as the workloads of the application they run have dynamic features. Underloading leads unutilized resource usages and SLA deviation is also appeared because of the overloading. Therefore, dynamic allocation of VM resource usage is necessary in order to get a...

Clouds can be used to provide on-demand capacity as a utility. Although the realization of this idea can differ among various cloud providers (from Google App Engine to Amazon EC2), the most flexible approach is the provisioning of virtualized resources as a service. These virtualization-based clouds, like Amazon EC2 or the Science Clouds (which uses the Globus Virtual Workspace Service [4]), p...

Recently, cloud computing has drawn significant attention from both industry and academia, bringing unprecedented changes to computing and information technology. The infrastructure-as-a-Service (IaaS) model offers new abilities such as the elastic provisioning and relinquishing of computing resources in response to workload fluctuations. However, because the demand for resources dynamically ch...

This paper presents ongoing research and current results on developing flexible access control infrastructure for complex resource provisioning in Gridbased collaborative applications and on-demand network services provisioning. In both cases the workflow can provide required orchestration of multiple Grid or Web services representing individual resources/services across multiple administrative...