Resource management in cloud and cloud-influenced technologies for internet of things applications
R Jeyaraj, A Balasubramaniam, AK MA… - ACM Computing …, 2023 - dl.acm.org
The trend of adopting Internet of Things (IoT) in healthcare, smart cities, Industry 4.0, and so
on is increasing by means of cloud computing, which provides on-demand storage and …
on is increasing by means of cloud computing, which provides on-demand storage and …
Deep configuration performance learning: A systematic survey and taxonomy
Performance is arguably the most crucial attribute that reflects the quality of a configurable
software system. However, given the increasing scale and complexity of modern software …
software system. However, given the increasing scale and complexity of modern software …
Edge computing technology enablers: A systematic lecture study
With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …
Deep neural network and transfer learning for accurate hardware-based zero-day malware detection
In recent years, security researchers have shifted their attentions to the underlying
processors' architecture and proposed Hardware-Based Malware Detection (HMD) …
processors' architecture and proposed Hardware-Based Malware Detection (HMD) …
Exploit both {SMART} Attributes and {NAND} Flash Wear Characteristics to Effectively Forecast {SSD-based} Storage Failures in Clusters
Solid State Drives (SSDs) based on flash technology are extensively employed as high-
performance storage solutions in supercomputing data centers. However, SSD failures are …
performance storage solutions in supercomputing data centers. However, SSD failures are …
Cloak & co-locate: Adversarial railroading of resource sharing-based attacks on the cloud
The heterogeneity of resources and the diversity of applications on the cloud motivated the
need for resource provisioning systems (RPSs) to meet the users' performance requirements …
need for resource provisioning systems (RPSs) to meet the users' performance requirements …
Adversarial attacks against machine learning-based resource provisioning systems
Microarchitectural attacks, such as side-channel, exploit shared resources to leak sensitive
information. Performing microarchitectural attacks on the cloud is possible once the …
information. Performing microarchitectural attacks on the cloud is possible once the …
Breakthrough to adaptive and cost-aware hardware-assisted zero-day malware detection: A reinforcement learning-based approach
In this paper, we have identified and addressed pressing challenges associated with online
and cost-effective malware detection based on Hardware Performance Counters (HPCs) …
and cost-effective malware detection based on Hardware Performance Counters (HPCs) …
Accelerated machine learning for on-device hardware-assisted cybersecurity in edge platforms
Internet of Things (IoT) as an area of tremendous impact, potential, and growth has emerged
with the advent of smart homes, smart cities, and smart everything. In the age of IoT, edge …
with the advent of smart homes, smart cities, and smart everything. In the age of IoT, edge …
Hadoop Map Reduce Techniques: Simplified Data Processing on Large Clusters with Data Mining
S Suresh, TR Kumar, M Nagalakshmi… - … Conference on I …, 2022 - ieeexplore.ieee.org
Data mining applications have become outdated and outmoded in recent years. The use of
incremental processing to refresh mining results is a promising method. It makes use of …
incremental processing to refresh mining results is a promising method. It makes use of …