An exploratory survey of Australia's informal venture capitalists : a predicate to theory building in the context of international angel research

In Australia, as it is all over the world, finding and acquiring equity capital is one of the major problems facing entrepreneurs who are starting or growing entrepreneurial ventures. The informal venture capital market, made up of high net worth non-institutional private equity investors (or ‘business Angels’) provides risk capital directly to new and growing businesses and has been shown to be considerably more significant than institutional providers as a source of finance for entrepreneurial businesses. Building upon and comporting with Angel research undertaken overseas, this study generated and evaluated data resulting from an investigation of Australian business Angels which focused upon three primary research questions: (i) Who are Australia's Informal Venture Capitalists (Business Angels)? (ii) How do they behave? (iii) What are their investment criteria? Analysis of answers resulting from a survey of 36 carefully screened respondents produced a descriptive profile, depicted in twelve key graphs, of Australian Angels' identifying characteristics, patterns of investment behaviour and investment criteria. The study initiates Australian Angel research into the developing international continuum of formal Angel research and can serve as the generator of empirically sensible hypotheses for future research and theory development.

Angel drops stinger

and on is a short instrumental featuring a nylon stringed acoustic guitar with an echo, chorus and tap reverb added to the tail, piano, and two synth pads.

ANGEL: agent-based scheduling for real-time tasks in virtualized clouds

The success of cloud computing makes an increasing number of real-time applications such as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for real-time tasks is playing an essential role for a cloud provider to maintain its quality of service and enhance the system's performance. In this paper, we devise a novel agent-based scheduling mechanism in cloud computing environment to allocate real-time tasks and dynamically provision resources. In contrast to traditional contract net protocols, we employ a bidirectional announcement-bidding mechanism and the collaborative process consists of three phases, i.e., basic matching phase, forward announcement-bidding phase and backward announcement-bidding phase. Moreover, the elasticity is sufficiently considered while scheduling by dynamically adding virtual machines to improve schedulability. Furthermore, we design calculation rules of the bidding values in both forward and backward announcement-bidding phases and two heuristics for selecting contractors. On the basis of the bidirectional announcement-bidding mechanism, we propose an agent-based dynamic scheduling algorithm named ANGEL for real-time, independent and aperiodic tasks in clouds. Extensive experiments are conducted on CloudSim platform by injecting random synthetic workloads and the workloads from the last version of the Google cloud tracelogs to evaluate the performance of our ANGEL. The experimental results indicate that ANGEL can efficiently solve the real-time task scheduling problem in virtualized clouds.