LiMPO: Lightweight mobility prediction and offloading framework using machine learning for mobile edge computing

SK Zaman, AI Jehangiri, T Maqsood, N Haq, AI Umar… - Cluster …, 2023 - Springer
Several applications have emerged with the proliferation of mobile devices to provide
communication, learning, social networking, entertainment, and community computing …

Energy-aware task allocation for multi-cloud networks

SK Mishra, S Mishra, A Alsayat, NZ Jhanjhi… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, the growth rate of Cloud computing technology is increasing exponentially,
mainly for its extraordinary services with expanding computation power, the possibility of …

Single-chip heterogeneous computing: Does the future include custom logic, FPGAs, and GPGPUs?

ES Chung, PA Milder, JC Hoe… - 2010 43rd annual IEEE …, 2010 - ieeexplore.ieee.org
To extend the exponential performance scaling of future chip multiprocessors, improving
energy efficiency has become a first-class priority. Single-chip heterogeneous computing …

An adaptive task allocation technique for green cloud computing

SK Mishra, D Puthal, B Sahoo, SK Jena… - The Journal of …, 2018 - Springer
The rapid growth of todays IT demands reflects the increased use of cloud data centers.
Reducing computational power consumption in cloud data center is one of the challenging …

Efficient embedded computing

WJ Dally, J Balfour, D Black-Shaffer, J Chen… - Computer, 2008 - ieeexplore.ieee.org
Hardwired ASICs-50X more efficient than programmable processors-sacrifice
programmability to meet the efficiency requirements of demanding embedded systems …

Active disk meets flash: A case for intelligent ssds

S Cho, C Park, H Oh, S Kim, Y Yi… - Proceedings of the 27th …, 2013 - dl.acm.org
Intelligent solid-state drives (iSSDs) allow execution of limited application functions (eg, data
filtering or aggregation) on their internal hardware resources, exploiting SSD characteristics …

Scalable power control for many-core architectures running multi-threaded applications

K Ma, X Li, M Chen, X Wang - Proceedings of the 38th annual …, 2011 - dl.acm.org
Optimizing the performance of a multi-core microprocessor within a power budget has
recently received a lot of attention. However, most existing solutions are centralized and …

Energy-efficient service allocation techniques in cloud: A survey

SK Mishra, S Sahoo, B Sahoo, SK Jena - IETE Technical Review, 2020 - Taylor & Francis
The demand for cloud computing infrastructure is increasing day by day to meet the
requirement of small and medium enterprises. The data center-centric cloud technology has …

EXOCHI: architecture and programming environment for a heterogeneous multi-core multithreaded system

PH Wang, JD Collins, GN Chinya, H Jiang… - Proceedings of the 28th …, 2007 - dl.acm.org
Future mainstream microprocessors will likely integrate specialized accelerators, such as
GPUs, onto a single die to achieve better performance and power efficiency. However, it …

[PDF][PDF] Multicore processors: challenges, opportunities, emerging trends

C Martin - Proc. Embedded World Conference, 2014 - tha.de
This paper undertakes a critical review of the cur-rent challenges in multicore processor
evolution, underlying trends and design decisions for future multicore processor …