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HPCache: memory-efficient OLAP through proportional caching revisited
Analytical engines rely on in-memory data caching to avoid storage accesses and provide timely responses by kee** the most frequently accessed data...
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Content caching in mobile edge computing: a survey
As wireless communication technology continues to advance, the number of intelligent devices, such as computers, mobile phones, and iPads, is...
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Caching
When a heavy computation is done in a program, retrieval of data is slow, or the retrieved data hardly ever changes. It can be useful to apply...
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Stateless Q-learning algorithm for service caching in resource constrained edge environment
In resource constrained edge environment, multiple service providers can compete to rent the limited resources to cache their service instances on...
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Edge Service Caching
Edge computing, with service caching as a key application, is essential for reducing service response time and alleviating core network traffic...
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A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration
In the era of ubiquitous network devices, an exponential increase in content requests from user equipment (UE) calls for optimized caching strategies...
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Toward caching techniques in edge computing over SDN-IoT architecture: a review of challenges, solutions, and open issues
The Internet of Things (IoT) is a network of interconnected computing devices that link billions of devices to the Internet and take advantage of...
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Intelligent and efficient task caching for mobile edge computing
Given the problems with a centralized cloud and the emergence of ultra-low latency applications, and the needs of the Internet of Things (IoT), it...
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A joint optimization scheme of task caching and offloading for smart factories
In the application scenario of a smart factory, the computing tasks of the smart devices are intensive, and these tasks are sensitive to delay. The...
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Recommend what to cache: a simple self-supervised graph-based recommendation framework for edge caching networks
Deep Learning-based edge caching networks can accurately infer what to cache based on a user's historical content requests, thereby significantly...
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Economical revenue maximization in mobile edge caching and blockchain enabled space-air-ground integrated networks
In this paper, we study an edge caching and blockchain enabled space-air-ground integrated networking (SAGIN) network, where a low-earth-orbit (LEO)...
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Computation offloading and heterogeneous task caching in MEC-enabled vehicular networks
Given the rapid growth of business types and the characteristics of delay-sensitive tasks in vehicular networks, vehicles’ computing power is...
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An autonomous proactive content caching method in edge computing environment: a learning-based approach
Proactive content caching is a promising edge computing approach to manage network data growth. When contents are placed on caches closer to users,...
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A caching mechanism to exploit object store speed in High Energy Physics analysis
Data analysis workflows in High Energy Physics (HEP) read data written in the ROOT columnar format. Such data has traditionally been stored in files...
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A comparative study of application-level caching recommendations at the method level
Performance and scalability requirements have a fundamental role in most large-scale software applications. To satisfy such requirements, caching is...
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Leveraging Multi-rate Multicast for Content Caching and Transmission Rate Allocation in Cache-Enabled Networks
As one of the significant features in the cache-enabled networks, in-network caching improves the efficiency of content dissemination by offloading...
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Edge Caching Cooperation in NDN Scenarios for Self-organizing Networks
The paper is devoted to the issues of caching in Named Data Networks (NDN), aimed at addressing content by name and separating information from its...
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Elevating Database Performance: Current Caching and Prefetching Strategies for Online Databases in Nigeria
This study investigated caching and prefetching techniques to improve data access performance in online databases, considering factors like data...
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A Multi-Agent Deep Reinforcement Learning-Based Approach to Mobility-Aware Caching
Mobile Edge Computing (MEC) is a technology that enables on-demand the provision of computing and storage services as close to the user as possible....
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An Adaptive, Energy-Efficient DRL-Based and MCMC-Based Caching Strategy for IoT Systems
The Internet of Things (IoT) has seen remarkable growth in recent years, but the data volatility and limited energy resources in these networks pose...