High-Level Thoughts on Integrated mmWave Communication for WLAN Solutions
Market demands for WLAN solutions supporting high throughput and low latency applications have led to the development of Integrated mmWave (IMMW). This project focuses on integrating the mmwave band with sub-7GHz links to overcome range, mobility, and reliability challenges. IMMW aims to harmonize d
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Addressing Monitoring Challenges in Hardware Offloading
Exploring the complexities of offloading monitoring tasks in hardware, this content delves into the limitations of current methods such as move_pages and IBS/PEBs-based monitoring. It highlights the need for efficient tracking mechanisms like IDLE-bit and proposes innovative solutions like Transpare
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Understanding Direct Memory Access (DMA) in Embedded Systems
Direct Memory Access (DMA) plays a crucial role in transferring large blocks of data efficiently in embedded systems. This technology allows data to be moved between peripherals and main memory without continuous processor intervention, enhancing speed and reducing CPU overhead. By offloading data t
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Techniques for Reducing Connected-Standby Energy Consumption in Mobile Devices
Mobile devices spend a significant amount of time in connected-standby mode, leading to energy inefficiency in the Deepest-Runtime-Idle-Power State (DRIPS). This study introduces Optimized DRIPS (ODRIPS) to address this issue by offloading wake-up timer events, powering off IO signals, and transferr
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SmartNIC Offloading for Distributed Applications
This presentation discusses offloading distributed applications onto SmartNICs using the iPipe framework. It explores the potential of programmable NICs to accelerate general distributed applications, characterizes multicore SmartNICs, and outlines the development and evaluation process. The study c
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COMET: Code Offload by Migrating Execution - OSDI'12 Summary
The research paper discusses COMET, a system for transparently offloading computation from mobile devices to network resources to improve performance. It outlines the goals of COMET, its design, and evaluation, focusing on distributed shared memory and bridging computation disparity through offloadi
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Enhancing Mobile-Cloud Computing with Autonomous Agents Framework
Autonomous Agents-based Mobile-Cloud Computing (MCC) refers to moving computing tasks to powerful centralized platforms in the cloud, offering advantages like extending battery life and dynamic resource provisioning. However, an inflexible split of computation between mobile and cloud platforms lead
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Framework for One-sided RDMA Multicast in Data Center Group Communications
This paper explores the implementation of one-sided RDMA multicast in data center group communications, highlighting the benefits of offloading network I/O from CPUs and unique connection parameters for efficient multicast operations. The research addresses the challenges of enabling one-sided RDMA
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Data Offload Using WLAN in Connected Vehicles
The document discusses the need for data offloading from cellular networks to WLAN in connected vehicles to address overwhelmed cellular capacity and reduce costs. It highlights the challenges and gaps in current standards like IEEE 802.11u, emphasizing the importance of Wi-Fi infrastructure for con
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Data Offload Using WLAN in Connected Vehicles
The market for connected vehicles is rapidly growing, leading to increased data consumption. This document highlights the importance of offloading data from cellular networks to WLAN in connected vehicles. Current solutions like 802.11u are insufficient, necessitating new standards to address the ch
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Efficient VM Introspection in KVM and Performance Comparison with Xen
Intrusion Detection Systems (IDS) play a crucial role in detecting attacks against servers, but attackers are finding ways to disable them. IDS offloading using virtual machines (VMs) can prevent compromise, providing enhanced security. VM Introspection (VMI) allows monitoring VMs from the outside,
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Enhancing Cloud Security Through Virtual Machine Co-Migration for IDS Offloading
Explore the innovative approach of synchronized co-migration of virtual machines for offloading Intrusion Detection Systems (IDS) in Cloud environments. This method allows IaaS providers to deploy IDS without user cooperation, enabling better monitoring and security in the cloud.
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TOM: Enabling Programmer-Transparent Near-Data Processing in GPU Systems
This paper discusses Transparent Offloading and Mapping (TOM) for enabling programmer-transparent near-data processing in GPU systems. It addresses the opportunity of processing data directly in 3D-stacked memories, the challenges involved, and introduces a new mechanism for identifying and deciding
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Practical Power Management for Enterprise Storage
Energy in data centers is a significant expense, with storage being a major consumer. The challenge lies in reducing energy consumption, especially during idle periods. Strategies like spinning down disks when not in use and offloading writes from idle volumes can help optimize power usage in enterp
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Elastic Execution with CloneCloud: Enhancing Mobile Applications
The CloneCloud system introduces elastic execution capabilities, enabling the seamless offloading of resource-intensive tasks from mobile devices to the cloud. Byung-Gon Chun, Mayur Naik, Sunghwan Ihm, Petros Maniatis, and Ashwin Patti present a flexible architecture that optimizes application perfo
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Advancements in Wearable Cognitive Assistance Technology
This presentation explores the potential of wearable technology in aiding cognitive decline, such as mild cognitive impairment and survivors of stroke. It delves into how wearable devices can continuously capture, interpret, and give guidance to users, potentially saving millions of dollars in healt
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Evolution of DPDK Vhost for VPP: Enhancing Performance and Functionality
DPDK Vhost for VPP is undergoing continuous evolution to enhance performance and functionality with features such as reconnect, live migration, offloading, and more. The integration between VPP and Vhost PMD is improving, leading to better network platform capabilities. The development efforts aim t
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Optimizing Packet Processing on Arm Architecture in OVS: A Story of Performance Enhancement and Stability
Exploring the optimization of packet processing on Arm architecture in OVS, focusing on improving performance and stability through various techniques such as offloading datapath operations, implementing efficient lookup tables, accelerating hash calculations, and addressing bottlenecks. The agenda
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