Name
Title | ||
|---|---|---|
Crossover Service: Deep Convergence For Pattern, Ecosystem, Environment, Quality And Value |
Abstract | ||
|---|---|---|
Crossover service is a kind of services, which can provide multi-dimension service, great user experience and high values, through deeply converging services from different industries, different organizations and different value chains. Convergence is the key challenges for crossover service application. Using Alibaba's crossover service case, this paper illustrates five challenges of the service convergence process: pattern convergence, ecosystem convergence, environment convergence, quality convergence and value convergence. In addition, we propose a technical framework addressing these technical challenges, which includes all the major theories and models, techniques and methods, and tools and platforms supporting enterprises' crossover service convergence in the modeling phase, the design phase, the running phase and the management phase. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICDCS.2018.00124 | 2018 IEEE 38TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS) |
Keywords | Field | DocType |
crossover service, crossover, convergence | Convergence (routing),User experience design,Crossover,Industrial engineering,Computer science,Market research,Distributed computing | Conference |
ISSN | Citations | PageRank |
1063-6927 | 0 | 0.34 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwei Yin | 1 | 805 | 89.86 |
| Bangpeng Zheng | 2 | 0 | 0.34 |
| Shuiguang Deng | 3 | 1072 | 83.66 |
| Yingying Wen | 4 | 86 | 10.48 |
| Meng Xi | 5 | 0 | 0.34 |
| Zhiling Luo | 6 | 38 | 8.77 |
| Ying Li | 7 | 1 | 3.39 |