Security is of paramount importance in this new era of on-demand Cloud Computing.
Researchers have provided a survey on several intrusion detection techniques for detecting …

Executing complex, memory-intensive deep learning inference services poses a major
challenge for serverless computing frameworks, which would densely deploy and maintain …

Non-volatile memory (NVM) technologies are considered as promising candidates of the
next-generation main memory. However, the non-volatility of NVMs leads to new security …

Cloud environments host many tenants, and typically there is substantial overlap between
the application binaries and libraries executed by tenants. Thus, memory de-duplication can …

Secure information deduplication can altogether decrease the correspondence and capacity
overheads in distributed storage benefits and has potential applications in our large …

Fine-grained deduplication, which first removes identical chunks and then eliminates
redundancies between similar but non-identical chunks (ie, delta compression), could …

Due to large instruction footprints, contemporary data center applications suffer from
frequent frontend stalls. Despite being a significant contributor to these stalls, the Branch …

In cloud computing, deduplication can reduce memory footprint by eliminating redundant
pages. The responsiveness of a deduplication process to newly generated memory pages is …

Deduplication decreases the physical occupancy of files in a storage volume by removing
duplicate copies of data chunks, but creates data-sharing dependencies that complicate …

Both limited main memory size and memory interference are considered as the major
bottlenecks in virtualization environments. Memory deduplication, detecting pages with …