
arXiv: 1802.05465
Our society is digital: industry, science, governance, and individuals depend, often transparently, on the inter-operation of large numbers of distributed computer systems. Although the society takes them almost for granted, these computer ecosystems are not available for all, may not be affordable for long, and raise numerous other research challenges. Inspired by these challenges and by our experience with distributed computer systems, we envision Massivizing Computer Systems, a domain of computer science focusing on understanding, controlling, and evolving successfully such ecosystems. Beyond establishing and growing a body of knowledge about computer ecosystems and their constituent systems, the community in this domain should also aim to educate many about design and engineering for this domain, and all people about its principles. This is a call to the entire community: there is much to discover and achieve.
FOS: Computer and information sciences, Design, Vision, Science, Cloud Computing, Datacenters, Software Engineering (cs.SE), Computer Science - Software Engineering, Engineering, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed Systems, Edge Computing, Massivizing Computer Systems, Distributed, Parallel, and Cluster Computing (cs.DC)
FOS: Computer and information sciences, Design, Vision, Science, Cloud Computing, Datacenters, Software Engineering (cs.SE), Computer Science - Software Engineering, Engineering, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed Systems, Edge Computing, Massivizing Computer Systems, Distributed, Parallel, and Cluster Computing (cs.DC)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
