Modern health information systems can generate several exabytes of patient data, the so
called 'health big data', per year. Many health managers and experts believe that with the …

Hybrid cloud is a cost-efficient way to address the problem of insufficient resources for
meeting the peak demand of its users for a service provider, which elastically scales up or …

Efficient task scheduling is one of the major steps for effectively harnessing the potential of
cloud computing. In cloud computing, a number of tasks may need to be scheduled on …

Big data frameworks such as Spark and Hadoop are widely adopted to run analytics jobs in
both research and industry. Cloud offers affordable compute resources which are easier to …

With the growing demand and commercial availability of cloud services, the need for
comparison of their functionality against different prices and performance has arisen. A …

Task scheduling is one of the most critical issues on cloud platform. The number of users is
huge and data volume is tremendous. Requests of asset sharing and reuse become more …

Cloud Federation is a recent paradigm that helps Infrastructure as a Service (IaaS) providers
to overcome resource limitation during spikes in demand for Virtual Machines (VMs) by …

Cloud computing has found broad acceptance in both industry and research, with public
cloud offerings now often used in conjunction with privately owned infrastructure. Technical …

Scientific applications require large computing power, traditionally exceeding the amount
that is available within the premises of a single institution. Therefore, clouds can be used to …

We introduce a hybrid High Performance Computing (HPC) infrastructure architecture that
provides predictable execution of scientific applications, and scales from a single resource …