Exploiting Non-Causal CPU-State Information for Energy-Efficient Mobile Cooperative Computing [PDF]
Scavenging the idling computation resources at the enormous number of mobile devices can provide a powerful platform for local mobile cloud computing. The vision can be realized by peer-to-peer cooperative computing between edge devices, referred to as co-computing.
arxiv
Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee [PDF]
Jianbo Du+3 more
openalex +1 more source
Resource Allocation and Computation Offloading for Wireless Powered Mobile Edge Computing. [PDF]
Chen J, Chang Z, Guo W, Guo X.
europepmc +1 more source
UDON: A case for offloading to general purpose compute on CXL memory [PDF]
Upcoming CXL-based disaggregated memory devices feature special purpose units to offload compute to near-memory. In this paper, we explore opportunities for offloading compute to general purpose cores on CXL memory devices, thereby enabling a greater utility and diversity of offload.
arxiv
Price-Based Distributed Offloading for Mobile-Edge Computing With Computation Capacity Constraints [PDF]
Mengyu Liu, Yuan Liu
openalex +1 more source
Edge computing has emerged as a promising paradigm for addressing the latency, bandwidth, and scalability challenges associated with traditional cloud-centric architectures.
Hoa Tran-Dang, Dong-Seong Kim
doaj
Contract-Optimization Approach (COA): A New Approach for Optimizing Service Caching, Computation Offloading, and Resource Allocation in Mobile Edge Computing Network. [PDF]
Sun Z, Chen G.
europepmc +1 more source
Computation Offloading in UAV-Enabled Edge Computing: A Stackelberg Game Approach. [PDF]
Yuan X, Xie Z, Tan X.
europepmc +1 more source
Blockchain-Enhanced Offloading in Mobile Edge Computing: A Systematic Review and Survey of Current Trends and Future Directions [PDF]
With the rapid growth of Internet of Things (IoT) applications, there's a big demand for more processing power and resources in devices. Mobile Edge Computing (MEC) looks promising for enhancing performance and reducing costs by offloading the computing work of IoT to MEC servers. However, the current methods for offloading have issues with privacy and
arxiv
With the rapid development of mobile communication technologies and Internet of Things (IoT) devices, Multi-Access Edge Computing (MEC) has become one of the most potential technologies for wireless communication. In MEC systems, faster and more reliable
Zhongqiang Luo, Xiang Dai
doaj