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With the steady increase of offered cloud storage services, they became a popular alternative to local storage systems. Beside several benefits, the usage of cloud storage services can offer, they have also some downsides like potential vendor lock-in or unavailability. Different pricing models, storage technologies and changing storage requirements are further complicating the selection of the best...
Consumer ratings are widely used in online marketplaces—helping vendors in assessing the quality of offerings and consumers in discovery and purchase decisions. To build trust in a marketplace, which has a direct impact on sales, an accurate assessment of ratings is essential in determining the quality of offerings. This paper proposes novel extensions to consumer Rating as a Service (RaaS)—a rating...
Security is one of the key concerns of the cloud user community. Most important ask from cloud users is to provide quality of services to manage Security end-to-end. The quality of Services (QoS) for securing cloud images were proposed in the earlier papers [2][3]. However, the key concern that still remains is how to balance performance and security. In this paper, a new and an intelligent model...
Cloud Federation offers Cloud Service Providers (CSPs) the ability to lease excess capacity to other CSPs in need of temporary additional resources such as large amounts of computational and networking power, or storage capacity to meet consumer's insatiable demand requirements. This promise, not only directly contradicts the Cloud Computing principles of scalability and elasticity, but also challenges...
There are many optimization algorithms that can be used for the purpose of optimization. Those algorithms are searching the so called candidate space. Those candidates are possible solutions. We are trying to find the one that represents the best solution as possible. It is possible to use parallelization to speed up the search. We introduce in this paper an approach how to use parallelization, where...
With the advent of cloud computing systems it has become possible to provision large scale systems in a short time with little effort. The systems underpinning these cloud systems have to deal with massive amounts of data in order to function. Should an indecent occur that requires some form of forensic investigation it can be very challenging for an investigator to conduct the investigation. This...
The on-demand provisioning of services, a cloud-based extension for traditional service-oriented architectures, improves the handling of services in usage scenarios where they are only used rarely and irregularly. However, the standard process of service provisioning and de-provisioning shows still some shortcomings when applying it in real world. In this paper, we introduce a middleware-centric optimization...
The well-known gap between relative CPU speeds and storage bandwidth results in the need for new strategies for managing I/O demands. In large-scale MPI applications, collective I/O has long been an effective way to achieve higher I/O rates, but it poses two constraints. First, although overlapping collective I/O and computation represents the next logical step toward a faster time to solution, MPI's...
Cloud computing is not just a promising approach to the service provisioning: nowadays it represents the reference model in such field. Several cloud service providers have emerged as de facto standards and an increasing number of companies are choosing to migrate their business in the Cloud "ecosystem". Nevertheless, each provider adopts a particular interface to manage its services and...
We consider the scenario where a mobile device requires assistance from nearby devices to forward its computational tasks to a cloud server. We incentivize cooperation by allowing helper devices to conserve computational energy by offloading their own tasks to the source device's cloud, as compensation for the communication energy lost during task forwarding. We formulate an optimization problem with...
Aiming to problem of how to find center control site location of computer cluster to reduce the communication cost under cloud computing situation, using the method of replacing the distance function and improving update sample operator of standard RPCL(Rival Penalized Competitive Learning) algorithm, an improved RPCL algorithm is designed to handle to this problem. Though theoretical derivation,...
Resources experience dynamic load as demand fluctuates. Therefore, resource providers must estimate the appropriate amount of resources to purchase in order to meet variable user demand. With the relatively recent introduction of infrastructure-as-a-service (IaaS) clouds (e.g. Amazon EC2) resource providers may choose to outsource demand as needed. As a result, a resource provider may decide to decrease...
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