AutoCompBD: Autonomic Computing and Big Data platforms

Florin Pop, Ciprian Dobre, Alexandru Costan
2017 Soft Computing - A Fusion of Foundations, Methodologies and Applications  
The amount of data collected or generated by ICT systems is growing exponentially (today we reached a Petabyte Era and will soon enter the ExaScale one). Processing and storing ever-larger volumes of data introduces new challenges, and consequently, we need to constantly develop new technological means to face them. Massive parallel processing platforms are the answer and are already being developed over distributed systems (i.e., over cloud or fog computing). However, the problem is that such
more » ... latforms need to support a wide variety of applications, coming with different processing requirements. Thus, self-* behavior is a must in this context, referring to self-managing characteristics of distributed computing resources, their capability to adapt to unpredictable changes while hiding intrinsic complexity to operators and users. This special issue is dedicated to dissemination and evaluation of advances in Autonomic Computing and Big Data platforms, supported by largescale distributed systems (LSDS). Autonomic Computing is facilitated by self-management capabilities that modern LSDS introduce, such as self-configuration, self-healing, self-optimization, and self-protection properties. In LSDS, an important characteristic is dependability (defined in terms B Florin Pop
doi:10.1007/s00500-017-2739-8 fatcat:lxjheel3rfdexiw3bfbwtuvqdu