Zobrazeno 1 - 10
of 156
pro vyhledávání: '"John Hosking"'
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. 10:1701-1713
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
Publikováno v:
IEEE Transactions on Big Data. 8:152-165
There has been a very large growth in interest in big data analytics to discover patterns and insights. A major challenge in this domain is the need to combine domain knowledge - what the data means (semantics) and what it is used for - with advanced
Publikováno v:
IEEE Transactions on Mobile Computing. :1-14
Autor:
Qiang He, Phu Lai, John Hosking, Mohamed Abdelrazek, Feifei Chen, Xiaoyu Xia, John Grundy, Yun Yang
Publikováno v:
2022 IEEE World Congress on Services (SERVICES).
Mobile Edge computing (MEC) is a new distributed computing paradigm where edge servers are deployed at, or near cellular base stations in close proximity to end-users. This offers computing resources at the edge of the network, facilitating a highly
Autor:
Phu Lai, Feifei Chen, John Grundy, Guangming Cui, Qiang He, Yun Yang, John Hosking, Mohamed Abdelrazek, Xiaoyu Xia
Publikováno v:
Future Generation Computer Systems. 112:684-694
As online services and applications are moving towards a more human-centered design, many app vendors are taking the quality of experience (QoE) increasingly seriously. End-to-end latency is a key factor that determines the QoE experienced by users,
Autor:
Qiang He, Hourieh Khalajzadeh, Meng Law, John Hosking, John Grundy, Mohamed Abdelrazek, Adil Zia, Andrew J. Simmons, Tarun Verma, Prasanna Ratnakanthan
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030700058
ENASE (Selected Papers)
ENASE (Selected Papers)
Using data analytics to improve industrial planning and operations has become increasingly popular and data scientists are more and more in demand. However, complex data analytics-based software development is challenging. It involves many new roles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f809bd0864994c680eec7de663b2273
https://doi.org/10.1007/978-3-030-70006-5_5
https://doi.org/10.1007/978-3-030-70006-5_5
Autor:
Feifei Chen, Qiang He, John Grundy, Yun Yang, Phu Lai, Mohamed Abdelrazek, Guangming Cui, John Hosking
Publikováno v:
ICDCS
As many applications and services are moving towards a more human-centered design, app vendors are taking the quality of experience (QoE) increasingly seriously. End-to-end latency is a key factor that determines the QoE experienced by users, especia
Autor:
John Grundy, Hourieh Khalajzadeh, Tarun Verma, John Hosking, Mohamed Abdelrazek, Andrew J. Simmons
Publikováno v:
MODELS Companion
We outline the key requirements for a Big Data modelling recommender tool. Our web-based tool is suitable for capturing system requirements in big data analytics applications involving diverse stakeholders. It promotes awareness of the datasets and a