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The focus of this paper will present Charge Flow which is a workflow based approach to manage the issue of chargeback within a Cloud environment. This work has been driven by the need for both private and public cloud operators to manage their virtualized infrastructures to ensure proper accountability so that resource usage is metered, charged and billed to the respective user of the virtualized...
Thanks to the rapid advances in Internet-based applications, data acquisition and storage technologies, petabyte-sized network data collections are becoming more and more common, thus prompting the need for scalable data analysis solutions. By leveraging today's ubiquitous many-core computer architectures and the increasingly popular cloud computing paradigm, the applicability of data mining algorithms...
Using a mobile device to store sensitive data is not recommended, because of the high possibility of losing or thieving these data, although, neither using single cloud as a storage service is not proper solution for number of reasons, for instance, the data could be captured while uploaded to the cloud, and the data could be stolen from the cloud via using stolen ID. In this paper, we propose an...
This paper presents the Cloud-based Fleet Management System (FMS) which increases the operation efficiency of the mining companies. By relocating the FMS servers from the isolated mining sites to the cloud, benefits such as fast initial deployment, extended accessibility, and remote dispatching can be achieved. A prototype with WAN acceleration technology is established between Canada and Japan. It...
SaaS applications often face a vendor or technical lock-in due to PaaS provider specific specifications, like cloud management APIs. As a solution, this paper presents a novel approach for developing applications more PaaS provider independent. In particular, the approach illustrates advantages of extending JavaEE application servers with a new container that executes so called Infrastructure Java...
Companies nowadays are widely adopting cloud computing. One important problem encountered to efficiently adopt public IaaS clouds is wasting leased computational resources, which remain active if no policy is established to implement elasticity according to the demand. As a consequence, the cloud use becomes more expensive than expected, leading to higher costs that may turn the company business unattractive...
Cloud computing continues to increase in complexity due to a number of factors: (i) increasing availability of configuration options from public Cloud providers (Amazon, for instance, offers over 4000 different configuration options), and (ii) increasing variability and types of application instances that can be deployed on such platforms, such as tuning options in hyper visors that enable different...
Analytics companies develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques. Thomas Devonport in his book titled, "Competing on analytics: The new science of winning", claims that a significant proportion of high-performance companies have high analytical skills among their personnel. On the other hand, a recent...
Low resource utilization in cloud data centers can be mitigated by overbooking but this increases the risk of performance degradation. We propose a three level Quality of Service (QoS) scheme for overbooked cloud data centers to assure high performance QoS for applications that need it. We design a controller that dynamically maps virtual cores to physical cores and whenever feasible shares physical...
Industrial organizations use Energy Management Systems (EMS) to monitor, control, and optimize their energy consumption. Industrial EMS are complex and expensive systems due to the unique requirements of performance, reliability, and interoperability. Moreover, industry is facing challenges with current EMS implementations such as cross-site monitoring of energy consumption and CO2 emissions, integration...
Cloud computing has recently received considerable attention, as a promising approach for delivering ICT services by improving the utilisation of data centre resources. On the other hand, the increased usage of ICT, jointly with the increased cost of energy, make designing and managing data centres with energy efficient strategies a crucial and strategical problem. In the literature there are many...
As natural resources have become scarce and more costly throughout the past years, efficient resource management techniques such as smart grids have gained increasing importance. Smart grids enable an efficient power grid through the usage of information technologies. For example, demand forecasting based on energy consumption data provided by smart meters enables matching production and demand more...
Elasticity is a key feature of current cloud computing platforms. Dependent on their demand tenants can dynamically scale up and down their applications. To increase their revenue, cloud providers are used to over-provision their clusters, but they still have to reserve capacity to avoid that services get unresponsive and cause SLO violation during bursts. In this paper, we propose CLOUDFARM, a PaaS...
Resource provisioning in cloud computing is typically coarse-grained. For example, entire CPU cores may be allocated for periods of up to an hour. The Resource-as-a-Service cloud concept has been introduced to improve the efficiency of resource utilization in clouds. In this concept, resources are allocated in terms of CPU core fractions, with granularities of seconds. Such infrastructures could be...
Efficient utilization of physical hosts in a private cloud depends on the configuration of the virtual machines (VMs), which must precisely comply with application requirements to avoid resource wastage. To achieve this, it is necessary to build knowledge about the performance of each physical host according to the number and type of VMs to be hosted to fulfil application demands. However, such a...
With the cloud paradigm and the concept of everything as a service (XasS), our ability to leverage the potential of distributed computing resources seems greater than ever. On the other hand, data farming is a methodology based on the idea that by repeatedly running a simulation model on a vast parameter space, enough output data can be gathered to provide an meaningful insight into relations between...
Various complex cloud services have to be deployed in multiple heterogeneous clouds, due to the service requirements for particular functionalities from specific clouds. In order to control these cloud services, we need to monitor and control the various units deployed across multiple clouds, dealing with cloud-specific protocols to support an end-to-end cloud service perspective. In this paper we...
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