Zobrazeno 1 - 10
of 494
pro vyhledávání: '"Qiang He"'
Autor:
Mohamed Abdelrazek, Yun Yang, Qiang He, Feifei Chen, John Hosking, John Grundy, Phu Lai, Guangming Cui
Publikováno v:
IEEE Transactions on Mobile Computing. 21:4263-4278
Mobile edge computing (MEC) allows edge servers to be placed at cellular base stations. App vendors like Uber and YouTube can rent computing resources and deploy latency-sensitive applications on edge servers for their users to access. Non-orthogonal
Publikováno v:
IEEE Transactions on Cloud Computing. 10:2691-2703
In the edge computing environment, app vendors can cache their data on a large number of geographically distributed edge servers to serve their users. However, those cached data are particularly vulnerable to both intentional and accidental corruptio
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:1873-1887
Publikováno v:
IEEE Transactions on Services Computing. 15:1940-1953
With an growing number of web services available on the Internet, an increasing burden is imposed on the use and management of service repository. Service clustering has been employed to facilitate a wide range of service-oriented tasks, such as serv
Publikováno v:
IEEE Transactions on Cloud Computing. 10:2178-2189
Edge Cloud Computing (ECC) provides a new paradigm for app vendors to serve their users with low latency by deploying their services on edge servers in close proximity to mobile users. From the edge infrastructure provider's perspective, a cost-effec
Publikováno v:
IEEE Transactions on Cloud Computing. 10:1701-1713
Edge computing is a new distributed computing paradigm extending the cloud computing paradigm, offering much lower end-to-end latency, as real-time, latency-sensitive applications can now be deployed on edge servers that are much closer to end-users
Autor:
Xiaoyu Xia, Mohamed Abdelrazek, John Grundy, Feifei Chen, Xiaolong Xu, Qiang He, Hai Jin, Guangming Cui
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:1144-1155
In the multi-access edge computing (MEC) environment, app vendors’ data can be cached on edge servers to ensure low-latency data retrieval. Massive users can simultaneously access edge servers with high data rates through flexible allocations of tr
Publikováno v:
IEEE Transactions on Services Computing. 15:1746-1759
Edge computing (EC) can overcome several limitations of cloud computing. In the EC environment, a service provider can deploy its application instances on edge servers to serve users with low latency. Given a limited budget K for deploying applicatio
Autor:
Christopher Leckie, Kotagiri Ramamohanarao, Qiang He, Lianyong Qi, Wanchun Dou, Zoran Salcic, Xuyun Zhang
Publikováno v:
IEEE Transactions on Big Data. 8:125-139
Scalable data processing platforms built on cloud computing becomes increasingly attractive as infrastructure for supporting big data applications. But privacy concerns are one of the major obstacles to making use of public cloud platforms. Multidime
Publikováno v:
IEEE Transactions on Services Computing. 14:1333-1344
The number of Web services on the Internet has been growing rapidly. This has made it increasingly difficult for users to find the right services from a large number of functionally equivalent candidate services. Inspecting every Web service for thei