Jin-Mee Kim

Cloud service broker portal: Main entry point for multi-cloud service providers and consumers

Cloud-service-broker needs a virtual service portal between multiple cloud-service-providers and cloud-service-consumers. The cloud-service-broker portal enables the cloud-service-providers to specify available their services. In addition, the cloud-service-consumers may find the most suitable services by negotiating the agreements on the services. The cloud-service-broker as an emerging technology intermediates heterogeneous multiple cloud services for both the providers and consumers. In this paper, we suggest the web-based user interface design of the cloud-service-broker portal to support different providers and consumers.

Cluster Management in a Virtualized Server Environment

One of the most attractive topics of today is server visualization. Sever virtualization is not a new concept. However technologies and market demand are increasing the use of server virtualization amazingly. In this paper, we consider cluster management in virtualized environment to implement the virtualizing up and down model. Thus we identify some design considerations for constructing and managing cluster. And then we show architecture to support clustering of virtual nodes based on the DMTF standards.

Provisioning Virtual Infrastructure to Cloud Service Consumer in Perspective of Brokering VM Placement

From cloud computing environment, cloud service consumers may request virtual infrastructure resources and cloud service providers may provision the virtual resources e.g. virtual machines based on the diverse provisioning options. Through the cloud service broker, the cloud service consumers acquire their on-demand services instead of contacting to each cloud service provider. In order to provide VM services in on-demand infrastructure clouds, we deal with the requirements of each cloud stakeholders and metadata from the view of cloud service broker.

Design and Implementation of a Scalable Parallel C Language

This paper describes the design and implementation of a parallel C language for scalable parallel systems. The language, ParaC, enables a programmer to write flexible and efficient codes which will run on the system with various levels of parallelism. This feature is achieved by supporting parallel constructs suitable to the system environment. The compiler is implemented as a translator which generates C codes with calls to runtime libraries for parallel execution.

Design of a parallel C language for distributed systems

The performance of a distributed system depends upon the efficiency of job distribution among processing nodes, as well as that of its system architecture and operating system. The paper presents an extended C language, ParaC, that supports efficient parallel programming on distributed systems. ParaC is designed to reduce the effort of job distribution on distributed programming environments. Our design includes the description of design goals for the parallel language, the definition of a programming model and the design of ParaC constructs. The paper also addresses the detailed design issues related to translation and finally presents our prototype.