Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Georgakopoulos, Dimitrios"'
Autor:
Inan, Muhammad Sakib Khan, Liao, Kewen, Shen, Haifeng, Jayaraman, Prem Prakash, Georgakopoulos, Dimitrios, Tang, Ming Jian
Internet of Things (IoT) sensor data or readings evince variations in timestamp range, sampling frequency, geographical location, unit of measurement, etc. Such presented sequence data heterogeneity makes it difficult for traditional time series clas
Externí odkaz:
http://arxiv.org/abs/2403.19996
Autor:
Banerjee, Abhik, Forkan, Abdur Rahim Mohammad, Georgakopoulos, Dimitrios, Milovac, Josip Karabotic, Jayaraman, Prem Prakash
Consistency in product quality is of critical importance in manufacturing. However, achieving a target product quality typically involves balancing a large number of manufacturing attributes. Existing manufacturing practices for dealing with such com
Externí odkaz:
http://arxiv.org/abs/2109.12964
Autor:
Fizza, Kaneez, Jayaraman, Prem Prakash, Banerjee, Abhik, Georgakopoulos, Dimitrios, Ranjan, Rajiv
Publikováno v:
IEEE Micro 21 December 2021
The unprecedented growth of Internet of Things (IoT) and its applications in areas such as Smart Agriculture compels the need to devise newer ways for evaluating the quality of such applications. While existing models for application quality focus on
Externí odkaz:
http://arxiv.org/abs/2105.02819
Autor:
Naha, Ranesh Kumar, Garg, Saurabh, Battula, Sudheer Kumar, Amin, Muhammad Bilal, Georgakopoulos, Dimitrios
Publikováno v:
Computer Networks, 216, 109240 (2022)
Fog computing is a promising computing paradigm for time-sensitive Internet of Things (IoT) applications. It helps to process data close to the users, in order to deliver faster processing outcomes than the Cloud; it also helps to reduce network traf
Externí odkaz:
http://arxiv.org/abs/2103.06385
Autor:
Naha, Ranesh Kumar, Garg, Saurabh, Georgakopoulos, Dimitrios, Jayaraman, Prem Prakash, Gao, Longxiang, Xiang, Yong, Ranjan, Rajiv
Emerging technologies like the Internet of Things (IoT) require latency-aware computation for real-time application processing. In IoT environments, connected things generate a huge amount of data, which are generally referred to as big data. Data ge
Externí odkaz:
http://arxiv.org/abs/1807.00976
Autor:
Jayaraman, Prem Prakash, Perera, Charith, Georgakopoulos, Dimitrios, Dustdar, Schahram, Thakker, Dhavalkumar, Ranjan, Rajiv
A large number of cloud middleware platforms and tools are deployed to support a variety of Internet of Things (IoT) data analytics tasks. It is a common practice that such cloud platforms are only used by its owners to achieve their primary and pred
Externí odkaz:
http://arxiv.org/abs/1606.07935
Autor:
Zeng, Xuezhi, Garg, Saurabh Kumar, Strazdins, Peter, Jayaraman, Prem, Georgakopoulos, Dimitrios, Ranjan, Rajiv
A disruptive technology that is influencing not only computing paradigm but every other business is the rise of big data. Internet of Things (IoT) applications are considered to be a major source of big data. Such IoT applications are in general supp
Externí odkaz:
http://arxiv.org/abs/1602.06488
Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
Autor:
Alhamazani, Khalid, Ranjan, Rajiv, Jayaraman, Prem Prakash, Mitra, Karan, Liu, Chang, Rabhi, Fethi, Georgakopoulos, Dimitrios, Wang, Lizhe
Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (databases, application servers and data processing frameworks) platforms with features such as elasticity, pay-per
Externí odkaz:
http://arxiv.org/abs/1502.00206
Mobile smartphones along with embedded sensors have become an efficient enabler for various mobile applications including opportunistic sensing. The hi-tech advances in smartphones are opening up a world of possibilities. This paper proposes a mobile
Externí odkaz:
http://arxiv.org/abs/1405.5867
Autor:
Perera, Charith, Jayaraman, Prem Prakash, Zaslavsky, Arkady, Christen, Peter, Georgakopoulos, Dimitrios
Publikováno v:
Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Seoul, Korea, March, 2014
Internet of Things (IoT) will comprise billions of devices that can sense, communicate, compute and potentially actuate. The data generated by the Internet of Things are valuable and have the potential to drive innovative and novel applications. The
Externí odkaz:
http://arxiv.org/abs/1312.6721