As usage of cloud computing increases, customers are mainly concerned about choosing cloud infrastructure with sufficient security. Concerns are greater in the multitenant environment on a public cloud. This paper addresses the security assessment of OpenStack open source cloud solution and virtual machine instances with different operating systems hosted in the cloud. The methodology and reali...

Network virtualization technology allows multiple logical networks or network applications to run simultaneously on the underlying physical network. The virtual network mapping is the key method to realize network virtualization. Virtual tenant network (VTN) is a new technique for construction of multi-tenant network in software definition networking (SDN) network. VTN mapping mechanism is a co...

Today’s most modern research area of computing is cloud computing due to its ability to diminish the costs associated with virtualization, high availability, dynamic resource pools and increases the efficiency of computing. But still it contains some drawbacks such as privacy, security, etc. This paper is thoroughly focused on the security of data of multi tenant model obtains from the virtuali...

We present Henge, a system to support intent-based multitenancy in modern stream processing applications. Henge supports multi-tenancy as a first-class citizen: everyone inside an organization can now submit their stream processing jobs to a single, shared, consolidated cluster. Additionally, Henge allows each tenant (job) to specify its own intents (i.e., requirements) as a Service Level Objec...

Background: SaaS (Software as a Service) is a services delivery model in Cloud Computing whose applications are remotely hosted by the service provider and available to customers on demand over the Internet. Multi-tenant Architecture (MTA) is an organizational pattern for SaaS that enables a single instance of an application to be hosted on the same hardware and accessed by multiple customers, ...

The current Cloud infrastructure services (IaaS) market employs a resource-based selling model: customers rent nodes from the provider and pay per-node per-unit-time. This selling model places the burden upon customers to predict their job resource requirements and durations. Inaccurate prediction by customers can result in over-provisioning of resources, or under-provisioning and poor job perf...