Cloud providers can optimize resource utilization and energy consumption by finding patterns in their usage. One way of finding such patterns is to study the history of Cloud resources activity. This approach is known as Cloud provenance. Provenance can also be used to track errors and faults in Cloud services. We have developed a provenance framework for research Clouds in order to find the hi...

The adoption of the cloud computing paradigm is associated with increasing security concerns. Cloud computing service models (SaaS, PaaS and IaaS) are exposed to different security threats in each level of services. The Trusted Cloud Computing Platform (TCCP) proposes a security model that protects customers VMs at the IaaS level. In this paper, we investigate methodologies for the specificatio...

The users without sufficient computing resources habitually enjoy the Infrastructure as a Service (Iaas) from the cloud providers. The IaaS provider, in turn, achieves immense financial gains when the demand by the clients reaches a summit level. In the related scenarios, the task scheduling emerges a significant daunting challenge for the provider to offer the Quality of Service (QoS). The ear...

We present our work on modeling distributed ensembles of virtual appliances (DEVAs) on Infrastructure as a Service (IaaS) clouds. Designing solutions on IaaS providers require a good understanding of the underlying details such as the software installation or the network configuration. We propose the use of DEVAs, a modeling approach built on top of the notion of virtual appliances, that allows...

Infrastructure as a Service (IaaS) is a type of Cloud Computing service delivery model that provides compute, storage, and network resources to the consumers in an on demand manner. In IaaS cloud environment, resource allocation is one of the complex tasks due to the heterogeneous nature of cloud resources and dynamic job requirements to run the jobs. However, the IaaS cloud resource allocation...

Current cloud service offerings, i.e., Software-as-a-service (SaaS), Platform-asa-service (PaaS) and Infrastructure-as-a-service (IaaS) offerings are often provided as monolithic, one-size-fits-all solutions and give little or no room for customization. This limits the ability of Service-based Application (SBA) developers to configure and syndicate offerings from multiple SaaS, PaaS, and IaaS p...

We present the design and implementation of AppScale, an open source extension to the Google AppEngine (GAE) Platform-asa-Service (PaaS) cloud technology. Our extensions build upon the GAE SDK to facilitate distributed execution of GAE applications over virtualized cluster resources, including Infrastructure-as-a-Service (IaaS) cloud systems such as Amazon’s AWS/EC2 and Eucalyptus. AppScale pro...

Cloud computing is an emerging paradigm to provide Infrastructure as a Service (IaaS). In this paper we present NEPTUNE-IaaS, a software system able to support the whole lifecycle of IaaS provisioning in a Virtual Cluster environment. Our system allows interactive design of complex system topologies and their efficient mapping onto the available physical resources of a cluster. It also provides...

Recently cloud computing booming area and emerging trends in information communication technology domain. Resource allocation is to allocate the resource based on infrastructure as a service (IaaS) is one of the keys for large-scale Cloud applications. Therefore, performance evaluation of workload models and Cloud resource allocation and algorithms in a repeatable manner under different configu...

In Infrastructure-as-a-Service (IaaS) cloud computing, computational resources are provided to remote users in the form of leases. For a cloud user, he/she can request multiple cloud services simultaneously. In this case, parallel processing in the cloud system can improve the performance. When applying parallel processing in cloud computing, it is necessary to implement a mechanism to allocate...