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Parallel computing is very important to accelerate the performance of software systems. Additionally, considering that a recurring challenge is to process high data volumes continuously, stream processing emerged as a paradigm and software…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-14 Adriano Vogel , Sören Henning , Esteban Perez-Wohlfeil , Otmar Ertl , Rick Rabiser

This paper continues to develop a fault tolerant extension of the sparse grid combination technique recently proposed in [B. Harding and M. Hegland, ANZIAM J., 54 (CTAC2012), pp. C394-C411]. The approach is novel for two reasons, first it…

Numerical Analysis · Mathematics 2014-04-11 Brendan Harding , Markus Hegland , Jay Larson , James Southern

Cloud computing has established itself as the support for the vast majority of emerging technologies, mainly due to the characteristic of elasticity it offers. Auto-scalers are the systems that enable this elasticity by acquiring and…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-24 Víctor Rampérez , Javier Soriano , David Lizcano , Juan A. Lara

In the uncapacitated facility location problem, given a graph, a set of demands and opening costs, it is required to find a set of facilities R, so as to minimize the sum of the cost of opening the facilities in R and the cost of assigning…

Data Structures and Algorithms · Computer Science 2010-02-03 Shiri Chechik , David Peleg

This paper examines the problem of introducing advanced forms of fault-tolerance via reconfiguration into safety-critical avionic systems. This is required to enable increased availability after fault occurrence in distributed integrated…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Michael Burke , Neil Audsley

The rapid expansion of AI inference services in the cloud necessitates a robust scalability solution to manage dynamic workloads and maintain high performance. This study proposes a comprehensive scalability optimization framework for cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-23 Yihong Jin , Ze Yang

This paper studies flexible multi-facility capacity expansion with risk aversion. In this setting, the decision maker can periodically expand the capacity of facilities given observations of uncertain demand. We model this situation as a…

Optimization and Control · Mathematics 2019-05-15 Sixiang Zhao , William B. Haskell , Michel-Alexandre Cardin

Cloud computing providers are now offering their unused resources for leasing in the spot market, which has been considered the first step towards a full-fledged market economy for computational resources. Spot instances are virtual…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-10-28 William Voorsluys , Rajkumar Buyya

Nowadays, most telecommunication services adhere to the Service Function Chain (SFC) paradigm, where network functions are implemented via software. In particular, container virtualization is becoming a popular approach to deploy network…

Networking and Internet Architecture · Computer Science 2022-08-29 Luigi De Simone , Mario Di Mauro , Roberto Natella , Fabio Postiglione

Operating a modern power grid reliably in case of SCADA/EMS failure or amid difficult times like COVID-19 pandemic is a challenging task for grid operators. In [11], a PMU-based emergency generation dispatch scheme has been proposed to help…

Physics and Society · Physics 2021-08-03 Song Zhang , Xiaochuan Luo , Eugene Litvinov

Elasticity is a form of self-adaptivity in cloud-based software systems that is typically restricted to the infrastructure layer and realized through auto-scaling. However, both reactive and proactive forms of infrastructure auto-scaling…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-10-16 Mohan Baruwal Chhetri , Abdur Rahim Mohammad Forkan , Anton V. Uzunov , Surya Nepal

A new system model reflecting the clustered structure of distributed storage is suggested to investigate bandwidth requirements for repairing failed storage nodes. Large data centers with multiple racks/disks or local networks of storage…

Information Theory · Computer Science 2017-02-14 Jy-yong Sohn , Beongjun Choi , Sung Whan Yoon , Jaekyun Moon

The cloud computing paradigm is being adopted by many organizations in different application domains as it is cost effective and offers a virtually unlimited pool of resources. Engineering critical systems can benefit from clouds in…

Software Engineering · Computer Science 2014-05-01 Sami Alajrami

In order to plan for failure recovery, the designers of cloud systems need to understand how their system can potentially fail. Unfortunately, analyzing the failure behavior of such systems can be very difficult and time-consuming, due to…

Software Engineering · Computer Science 2022-03-09 Domenico Cotroneo , Luigi De Simone , Pietro Liguori , Roberto Natella , Nematollah Bidokhti

An active approach to fault tolerance is essential for robot swarms to achieve long-term autonomy. Previous efforts have focused on responding to spontaneous electro-mechanical faults and failures. However, many faults occur gradually over…

Robotics · Computer Science 2025-10-10 James O'Keeffe

This paper addresses a central challenge of jointly considering shorter-term (e.g. hourly) and longer-term (e.g. yearly) uncertainties in power system planning with increasing penetration of renewable and storage resources. In conventional…

Systems and Control · Electrical Eng. & Systems 2021-09-13 Chao Yan , Xinbo Geng , Zhaohong Bie , Le Xie

The continuous growth of big data applications with high computational and scalability demands has resulted in increasing popularity of cloud computing. Optimizing the performance and power consumption of cloud resources is therefore…

Hardware Architecture · Computer Science 2019-10-30 Sahand Salamat , Behnam Khaleghi , Mohsen Imani , Tajana Rosing

One of the main objectives of Cloud Providers (CP) is to guarantee the Service-Level Agreement (SLA) of customers while reducing operating costs. To achieve this goal, CPs have built large-scale datacenters. This leads, however, to…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-05-18 Sidahmed Yalles , Mohamed Handaoui , Jean-Emile Dartois , Olivier Barais , Laurent d'Orazio , Jalil Boukhobza

A new system model reflecting the clustered structure of distributed storage is suggested to investigate interplay between storage overhead and repair bandwidth as storage node failures occur. Large data centers with multiple racks/disks or…

Information Theory · Computer Science 2018-05-02 Jy-yong Sohn , Beongjun Choi , Sung Whan Yoon , Jaekyun Moon

Application partitioning and code offloading are being researched extensively during the past few years. Several frameworks for code offloading have been proposed. However, fewer works attempted to address issues occurred with its…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-21 Nevin Vunka Jungum , Nawaz Mohamudally , Nimal Nissanke
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