A graph-based data model for API ecosystem insights
Erik Wittern, Jim Laredo, et al.
ICWS 2014
We see a trend where computing becomes a metered utility similar to how the electric grid evolved. Initially electricity was generated locally but economies of scale (and standardization) made it more efficient and economical to have utility companies managing the electric grid. Similar developments can be seen in computing where scientific grids paved the way for commercial cloud computing offerings. However, in our opinion, that evolution is far from finished and in this paper we bring forward the remaining challenges and propose a vision for the future of computing. In particular we focus on diverging trends in the costs of computing and developer time, which suggests that future computing architectures will need to optimize for developer time.
Erik Wittern, Jim Laredo, et al.
ICWS 2014
K. R. Kallapalayam Radhakrishnan, Vinod Muthusamy, et al.
Big Data 2022
Xue Han, Lianxue Hu, et al.
SCC 2020
Yara Rizk, Vatche Isahagian, et al.
BPM 2020