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Leveraging Virtual Machine (VM) technologies to host multiple Web applications on the same physical machine can improve the resource utilization and thus save a cloud provider's provisioning cost. By allocating and scheduling virtual CPU (vCPU) resources for running VMs, a hosted Web application may achieve varying performances. Thus, when facing an end user with a specific SLA (Service Level Agreement)...
QoS aware service composition necessitates an effective pricing mechanism in regulating service providers in public cloud computing environments. However, due to the fact that service providers are usually autonomous, strategic and self-motivated, it is far from trivial to deal with the pricing issues between them. In this paper we formulate a non-cooperative service pricing game to understand the...
Current Infrastructure-as-a-Service (IaaS) clouds offer both on-demand and reservation instance purchasing options. Users can combine these two options dynamically to serve time-varying demands while minimizing their instance acquisition costs. However, when future demands are unknown, it is far from trivial for cloud users to make optimal instance purchasing decisions. To deal with this problem,...
Performance analysis is crucial to the successful development of cloud computing paradigm. And it is especially important for a cloud computing center serving parallelizable application jobs, for determining a proper degree of parallelism could reduce the mean service response time and thus improve the performance of cloud computing obviously. In this paper, taking the cloud based rendering service...
Parallel application jobs account for a large population in current domain of cloud computing and Big Data processing services, whose execution time can be varied greatly with different runtime configurations. For efficiently scheduling resources and services to run parallel jobs, the ability to quickly and accurately estimate the performance of parallel applications is critical. Analytic predictive...
Mobile cloud computing is now emerging as a promising way to enlarge the capabilities of mobile devices by computation offloading. One of the critical challenges faced by the mobile cloud providers today is how to increase the profitability of their cloud services. In this paper, we deal with the problem of scheduling parallelizable computation jobs offloaded by mobile users in public cloud to maximize...
With the rapid development of IaaS market, how to efficiently trade between cloud providers and users is becoming a new challenge which attracts huge attentions from both industry and academia. Compared with traditional fixed-price model, market-oriented trading mechanism such as auction demonstrates greater promise for resource pricing and allocation in clouds due to its adaptability and flexibility...
In the case of a cloud-based remote control system such as SCADA (Supervisory Control and Data Acquisition) that enables users to collect data from cloud-connected machines deployed anywhere at any time. However, machine data models may not be updated in a timely manner after the devices are upgrades or modified. This leads to mismatches between the machine data and data models. A key obstacle of...
Today, there has been a strong demand of distributed collaboration in design and manufacturing, due to the acceleration of economic globalization and the popularity of virtual enterprises (VE) model. Because of the characteristics of cloud computing, such as elasticity and on-demand computing, it is promising to deploy and execute collaborative workflows that contain multiple tasks and services such...
With the popularity of cloud computing and SaaS, enterprises are willing to rent various cloud services and use them in their daily work. However, on-premise applications are still widely used inside enterprises. That is to say, to achieve the goal of business collaboration, a cloud service usually need to obtain business data from multiple sources, which include the relevant on-premise applications...
In manufacturing, there are many kinds of manufacturing resources, which belong to various enterprises. They are geographically distributed, morphology diversity and autonomy, which make the resource sharing and management are very complicated. In order to accommodate the requirements, large organization or enterprises has bought very expensive high performance computing infrastructures, such as supercomputing,...
In today' intensely competitive environment, traditional application systems such as ERP, lacks the autonomy and flexibility required by dynamic market. Given that, more and more companies are offering their software by Software as a Service (SaaS) application platform. Most SaaS platforms are implemented by traditional J2EE programming. This paper introduces a new well-designed SaaS application platform...
Cloud Storage is an important part of Cloud Computing, and it provides a way to achieve large scale storage architecture. And virtual storage is a strategy for Cloud Storage. A load balancing virtual storage strategy (LBVS) is proposed in this paper. The contribution of this strategy is that, it provides a large scale net data storage model and Storage as a Service model based on Cloud Storage. Three...
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