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Data analytics tasks are often formulated as data workflows represented as directed acyclic graphs (DAGs) of operators. The recent trend of adopting machine learning (ML) techniques in workflows results in increasingly complicated DAGs with many ...

Schedulers are a crucial component in datacenter resource management. Each scheduler offers different capabilities, and users use them through their APIs. However, there is no clear understanding of what programming abstractions they offer, nor why they ...

Datacenters are the backbone of our digital society, used by the industry, academic researchers, public institutions, etc. To manage resources, data centers make use of sophisticated schedulers. Each scheduler offers a different set of capabilities and ...

Emerging real-time multi-model ML (RTMM) workloads such as AR/VR and drone control involve dynamic behaviors in various granularity; task, model, and layers within a model. Such dynamic behaviors introduce new challenges to the system software in an ML ...

Cloud computing has become a crucial paradigm for large-scale data-intensive applications, but it also brings challenges like energy consumption, execution time, heat, and operational costs. Improving workflow scheduling in cloud environments can address ...

The verification of reachability properties of fuzzy systems is usually based on the fuzzy Kripke structure or possibilistic Kripke structure. However, fuzzy Kripke structure or possibilistic Kripke structure is not enough to describe nondeterministic and ...

Encoding and transcoding videos into multiple codecs and representations is a significant challenge that requires seconds or even days on high-performance computers depending on many technical characteristics, such as video complexity or encoding ...

Driven by the need to find alternative accelerators which can viably replace graphics processing units (GPUs) in next-generation Supercomputing systems, this paper proposes a methodology to enable agile application/hardware co-design. The application-...

Delay-sensitive multimedia streaming applications require their data to be delivered before a deadline to be useful. The data transmitted by these applications can usually be partitioned into blocks with different priorities, assigned based on the ...

Implementing a new scheduler within a real-time operating system is challenging. The transition from a theoretical scheduling policy specification to a real platform implementation requires several constraints to be taken into account. Therefore, a ...

Several network transport protocols have been developed to provide reliable connection-oriented multipath concurrent data transmission. One of their advantages is reducing end-to-end latency by redundantly transmitting data through multiple network ...

In recent years, QUIC protocol has shown great advantages for HTTPS over TCP in terms of improving handshake delay and head-of-line blocking. Multipath QUIC (MPQUIC) further opens up the opportunity to leverage path diversity for realizing various ...

In recent years, ASIC CNN Accelerators have attracted great attention among researchers for the high performance and energy efficiency. Some former works utilize the sparsity of CNN networks to improve the performance and the energy efficiency. However, ...

User-defined and system-level checkpointing have contrary properties. While user-defined checkpoints are smaller and simpler to recover, system-level checkpointing better knows the global system's state and parameters like the expected mean time to ...

An execution order of the processes in a system depends on the scheduler. Therefore, the scheduling strategy needs to be taken into account during the analysis of the system behaviors. The goal of this research is to improve the support for analyzing ...

Wireless sensor networks extends their applications as related technologies are developed. Macro-programming is a centralized approach to sensor network programming and well-performed simple applications. However, as wireless sensor networks work with ...

In native Linux systems, spinlock's implementation relies on the assumption that both the lock holder thread and lock waiter threads cannot be preempted. However, in a virtualized environment, these threads are scheduled on top of virtual CPUs (vCPU) ...

This paper addresses a study of fault-tolerant control FTC for wireless networked control systems WNCSs in industrial automatic processes. The WNCSs is composed of many subsystems, which operate with different sampling cycles. In order to meet the real-...

This work explores and advocates the use of automatic generation of local schedulers, with an application to the design of Wireless Sensors Networks (WSN). The contribution presented is a design method relying on formal tools, as well as a solution to ...

Abstract Big Data Applications with Scheduling becomes an active research area in last three years. The Hadoop framework becomes very popular and most used frameworks in a distributed data processing. Hadoop is also open source software that allows the ...