Many tangible and intangible objects are represented as itemsets; i.e., composition of individual items. In this paper, we address the problem of finding the embedding of such items so as to use those embeddings in tasks like missing item prediction. We ...

Extending Linux through the kernel module interface can offer immense benefits and capabilities in high performance computing (HPC). These extensions can also be more readily deployed because Linux is the common, typically only, supported OS choice ...

The house allocation problem asks for m houses to be allocated among n agents so that every agent receives exactly one house. The preferences of the agents over houses can be modeled as weak orders, of which two special cases are strict rankings and ...

Knowing which functions may execute concurrently is key to finding concurrency-related bugs. Existing tools infer the possibility of concurrency using dynamic analysis or by pairing functions that use the same locks. Code that relies on more relaxed ...

The scheduler is a critical component of the operating system (OS)and is tightly coupled with Linux. Production-level clouds often host various workloads, and these workloads require different schedulers to achieve high performance. Thus the ...

Memory disaggregation has risen in popularity in datacenters due to benefits such as higher utilization and better hardware elasticity. However, applications running on memory disaggregated clusters commonly suffer from data amplification---I/O traffic ...

Virtual memory, specifically paging, is undergoing significant innovation due to being challenged by new demands from modern workloads. Recent work has demonstrated an alternative software only design that can result in simplified hardware requirements, ...

The Android research community has long focused on building the permission specification for Android framework APIs, which can be referenced by app developers to request the necessary permissions for their apps. However, existing studies just analyze the ...

Suboptimal scheduling decisions in operating systems, networking stacks, and application runtimes are often responsible for poor application performance, including higher latency and lower throughput. These poor decisions stem from a lack of insight ...

The time complexity of support vector machines (SVMs) prohibits training on huge datasets with millions of data points. Recently, multilevel approaches to train SVMs have been developed to allow for time-efficient training on huge datasets. While ...

Neuromorphic Nanowire Networks (NWNs) are a novel class of information processing hardware devices, combining the advantage of memristive cross-point junctions and neural-like complex network topology. In addition to their low operating power, NWNs are ...

Tracing is a popular method for evaluating, investigating, and modeling the performance of today's storage systems. Tracing has become crucial with the increase in complexity of modern storage applications/systems, that are manipulating an ever-...

Tracing is a popular method for evaluating, investigating, and modeling the performance of today's storage systems. Tracing has become crucial with the increase in complexity of modern storage applications/systems, that are manipulating an ever-...

Many computer programs directly manipulate memory using unsafe pointers, which may introduce memory safety bugs. In response, past work has developed various runtime defenses, including memory safety checks, as well as mitigations like no-execute memory,...

Compared to full virtualization, containerization reduces virtualization overhead and resource usage, offers reduced deployment latency and improves reusability. For these reasons, containerization is massively used in an increasing number of ...

This paper presents a study on the practicality of operating system (OS) kernel debloating---reducing kernel code that is not needed by the target applications---in real-world systems. Despite their significant benefits regarding security (attack ...

This paper presents a study on the practicality of operating system (OS) kernel debloating---reducing kernel code that is not needed by the target applications---in real-world systems. Despite their significant benefits regarding security (attack surface ...

A rootkit is a piece of code that aims to manipulate the computer behaviour without being detected. Rootkits are mainly used to disable kernel self-protection, hide malware presence, provide a covert communication channel between malware and their ...

Stack canary is the most widely deployed defense technique against stack buffer overflow attacks. However, since its proposition, the design of stack canary has very few improvements during the past 20 years, making it vulnerable to new and sophisticated ...

This paper presents a novel algorithm for performing linearized confidence-weighted (LCW) learning on a fixed budget. LCW learning has been applied to solve online classification problems in recent years. To make better classification performance, it is ...