Susceptibility to diabetes in humans and nonobese diabetic (NOD) mice is believed to arise from the combined effect of multiple genetic loci, resulting in immune-mediated destruction of the insulin-secreting beta-cells. Insulin autoantibodies (IAAs) are often present in humans for years, and in NOD mice for weeks, before the onset of diabetes. We have evaluated the expression of IAAs in NOD mic...

Current Cloud solutions for Edge Computing are inefficient data-centric applications, as they focus on the IaaS/PaaS level and miss data modeling operations perspective. Consequently, opportunities lost due to cumbersome assets-agnostic processes end-to-end deployment over Cloud-to-Edge continuum. In this paper, we introduce MEDAL—an intelligent Data Fabric support Operations (DataOps) across c...

The private Cloud at the Torino INFN computing centre offers IaaS services to different scientific computing applications. The infrastructure is managed with the OpenNebula cloud controller. The main stakeholders of the facility are a grid Tier-2 site for the ALICE collaboration at LHC, an interactive analysis facility for the same experiment and a grid Tier-2 site for the BES-III collaboration...

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...

We show that distributed Infrastructure-as-aService (IaaS) compute clouds can be effectively used for the analysis of high energy physics data. We have designed a distributed cloud system that works with any application using large input data sets requiring a high throughput computing environment. The system uses IaaS-enabled science and commercial clusters in Canada and the United States. We d...

As the most basic cloud service model, Infrastructure as a Service (IaaS) has been widely used for serving the evergrowing computing demand due to the prevalence of the cloud. Using pools of hypervisors within the cloud, IaaS can support a large number of Virtual Machines (VMs) and scale services in a highly dynamic manner. However, it is well-known that the VMs in IaaS are vulnerable to co-res...

Power consumption of IaaS Cloud is growing at a rapid pace during the last decade. This leads to high operational and maintenance cost, and also reducing the profit margin of IaaS Cloud providers. Apparently profit margin depends on operational cost and revenue earned to comply with the Service Level Agreement (SLA) on the basis of achieved performance level. In this paper, we are building the ...

Infrastructure-as-a-service (IaaS) clouds are becoming widely adopted. However, as multiple tenants share the same physical resources, performance anomalies have become one of the top concerns for users. Unfortunately, performance anomaly diagnosis in the production IaaS cloud often takes a long time due to its inherent complexity and sharing nature. In this paper, we present PerfCompass, a run...

Cloud computing is an attractive computing model since it allows for resources to be provisioned according on a demand basis, i.e., cloud users can rent resources as they become necessary. With IaaS, IT services can be delivered as a subscription service, eliminating up-front costs and driving down ongoing support costs. As with managed hosting, IaaS providers keep costs low by pooling resource...