On the role of autonomics in emerging grid ecosystems
Manish Parashar · 2009
Significant strategic investments are quickly realizing a pervasive computational infrastructure that integrates computers, networks, data archives, instruments, observatories, and embedded sensors and actuators. This in turn has the potential for enabling new paradigms and practices in computational science and engineering those that symbiotically and opportunistically combine computations, experiments, observations, and real-time information. However the ability of scientists to realize this potential is being severely hampered primarily due to the increased complexity and dynamism of the applications and the computing infrastructure. Autonomic computing has the potential to fundamentally address these challenges. In this talk, I will motivate autonomics for computational science and engineering. I will then describe research efforts at TASSL, Rutgers University as part of the NSF Center for Autonomic Computing aimed at enabling autonomic scientific and engineering applications that can address the challenges of (and benefit from) pervasive computational ecosystems.