Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning (ML)-centric resource management in cloud computing: A review and future directions
Cloud computing has rapidly emerged as a model for delivering Internet-based utility
computing services. Infrastructure as a Service (IaaS) is one of the most important and …
computing services. Infrastructure as a Service (IaaS) is one of the most important and …
[PDF][PDF] A taxonomy and survey of content delivery networks
AMK Pathan, R Buyya - Grid computing and distributed systems …, 2007 - hit.bme.hu
Content Delivery Networks (CDNs) have evolved to overcome the inherent limitations of the
Internet in terms of user perceived Quality of Service (QoS) when accessing Web content. A …
Internet in terms of user perceived Quality of Service (QoS) when accessing Web content. A …
Characterizing, modeling, and benchmarking {RocksDB}{Key-Value} workloads at facebook
Persistent key-value stores are widely used as building blocks in today's IT infrastructure for
managing and storing large amounts of data. However, studies of characterizing real-world …
managing and storing large amounts of data. However, studies of characterizing real-world …
A large-scale analysis of hundreds of in-memory key-value cache clusters at twitter
Modern web services use in-memory caching extensively to increase throughput and reduce
latency. There have been several workload analyses of production systems that have fueled …
latency. There have been several workload analyses of production systems that have fueled …
Batch: Machine learning inference serving on serverless platforms with adaptive batching
Serverless computing is a new pay-per-use cloud service paradigm that automates resource
scaling for stateless functions and can potentially facilitate bursty machine learning serving …
scaling for stateless functions and can potentially facilitate bursty machine learning serving …
Workload prediction using ARIMA model and its impact on cloud applications' QoS
RN Calheiros, E Masoumi, R Ranjan… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
As companies shift from desktop applications to cloud-based software as a service (SaaS)
applications deployed on public clouds, the competition for end-users by cloud providers …
applications deployed on public clouds, the competition for end-users by cloud providers …
Distributed denial of service attack detection for the Internet of Things using hybrid deep learning model
As a result of the widespread adoption of the Internet of Things, there are now hundreds of
millions of connected devices, increasing the likelihood that they may be vulnerable to …
millions of connected devices, increasing the likelihood that they may be vulnerable to …
Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
With the significant advances in Information and Communications Technology (ICT) over the
last half century, there is an increasingly perceived vision that computing will one day be the …
last half century, there is an increasingly perceived vision that computing will one day be the …
A DDoS attack detection and countermeasure scheme based on DWT and auto-encoder neural network for SDN
Abstract Software Defined Networking provides new functionalities to easily manage,
configure, and optimize network resources by introducing a clear separation between the …
configure, and optimize network resources by introducing a clear separation between the …
[PDF][PDF] The ant system: An autocatalytic optimizing process
M Dorigo, V Maniezzo, A Colorni - 1991 - academia.edu
A combination of distributed computation, positive feedback and constructive greedy
heuristic is proposed as a new approach to stochastic optimization and problem solving …
heuristic is proposed as a new approach to stochastic optimization and problem solving …