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Workload characterization is an integral part of performance analysis of high performance computing (HPC) systems. An understanding of workload properties sheds light on resource utilization and can be used to inform performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-01-16 Nikolay A. Simakov , Joseph P. White , Robert L. DeLeon , Steven M. Gallo , Matthew D. Jones , Jeffrey T. Palmer , Benjamin Plessinger , Thomas R. Furlani

Warehouse-scale cloud datacenters co-locate workloads with different and often complementary characteristics for improved resource utilization. To better understand the challenges in managing such intricate, heterogeneous workloads while…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-08-17 Yue Cheng , Zheng Chai , Ali Anwar

Infrastructure as a service clouds hide the complexity of maintaining the physical infrastructure with a slight disadvantage: they also hide their internal working details. Should users need knowledge about these details e.g., to increase…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-03-20 Gabor Kecskemeti , Zsolt Nemeth , Attila Kertesz , Rajiv Ranjan

Hyperscalars run services across a large fleet of servers, serving billions of users worldwide. These services, however, behave differently than commonly available benchmark suites, resulting in server architectures that are not optimized…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-03 Suyash Mahar , Hao Wang , Wei Shu , Abhishek Dhanotia

We examine and bring out the architecturally significant characteristics of various virtualization and cloud oriented platforms. The impact of such characteristics on the ability of guest applications to achieve various quality attributes…

Software Engineering · Computer Science 2012-05-22 Balwinder Sodhi , T. V. Prabhakar

Cloud computing and virtualization solutions allow one to rent the virtual machines (VMs) needed to run applications on a pay-per-use basis, but rented VMs do not offer any guarantee on their performance. Cloud platforms are known to be…

Software Engineering · Computer Science 2023-09-22 Luciano Baresi , Tommaso Dolci , Giovanni Quattrocchi , Nicholas Rasi

How can applications be deployed on the cloud to achieve maximum performance? This question has become significant and challenging with the availability of a wide variety of Virtual Machines (VMs) with different performance capabilities in…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-17 Blesson Varghese , Ozgur Akgun , Ian Miguel , Long Thai , Adam Barker

Today, cloud workloads are essentially opaque to the cloud platform. Typically, the only information the platform receives is the virtual machine (VM) type and possibly a decoration to the type (e.g., the VM is evictable). Similarly,…

Cloud platforms have been focusing on reducing their carbon emissions by shifting workloads across time and locations to when and where low-carbon energy is available. Despite the prominence of this idea, prior work has only quantified the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-03-12 Thanathorn Sukprasert , Abel Souza , Noman Bashir , David Irwin , Prashant Shenoy

Cloud providers have introduced pricing models to incentivize long-term commitments of compute capacity. These long-term commitments allow the cloud providers to get guaranteed revenue for their investments in data centers and computing…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-01 Murray Stokely , Neel Nadgir , Jack Peele , Orestis Kostakis

Cloud-computing shares a common pool of resources across customers at a scale that is orders of magnitude larger than traditional multi-user systems. Constituent physical compute servers are allocated multiple "virtual machines" (VM) to…

Distributed, Parallel, and Cluster Computing · Computer Science 2010-10-19 Souvik Ghosh , Soumyadip Ghosh

Serverless computing has become a new trending paradigm in cloud computing, allowing developers to focus on the development of core application logic and rapidly construct the prototype via the composition of independent functions. With the…

Software Engineering · Computer Science 2023-02-07 Jinfeng Wen , Yi Liu , Zhenpeng Chen , Junkai Chen , Yun Ma

With the explosive growth of big data, workloads tend to get more complex and computationally demanding. Such applications are processed on distributed interconnected resources that are becoming larger in scale and computational capacity.…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-10-30 Georgios L. Stavrinides , Helen D. Karatza

Cloud computing accelerates design space exploration in logic synthesis, and parameter tuning in physical design. However, deploying EDA jobs on the cloud requires EDA teams to deeply understand the characteristics of their jobs in cloud…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-23 Abdelrahman Hosny , Sherief Reda

Since the mid 1990s, grid computing systems have emerged as an analogy for making computing power as pervasive an easily accessible as an electric power grid. Since then, grid computing systems have been shown to be able to provide very…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-29 Marco Guazzone

The state-of-art of the technology focuses on data processing to deal with massive amount of data. Cloud computing is an emerging technology, which enables one to accomplish the aforementioned objective, leading towards improved business…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-10-01 K. S. Rashmi , V. Suma , M. Vaidehi

Predicting future resource demand in Cloud Computing is essential for optimizing the trade-off between serving customers' requests efficiently and minimizing the provisioning cost. Modelling prediction uncertainty is also desirable to…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-14 Andrea Rossi , Andrea Visentin , Diego Carraro , Steven Prestwich , Kenneth N. Brown

Cloud computing represents an appealing opportunity for cost-effective deployment of HPC workloads on the best-fitting hardware. However, although cloud and on-premise HPC systems offer similar computational resources, their network…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-11-03 Daniele De Sensi , Tiziano De Matteis , Konstantin Taranov , Salvatore Di Girolamo , Tobias Rahn , Torsten Hoefler

Cloud Computing is a new trend emerging in IT environment with huge requirements of infrastructure and resources. Load Balancing is an important aspect of cloud computing environment. Efficient load balancing scheme ensures efficient…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-28 Mayanka Katyal , Atul Mishra

Todays Information Technology world is cloud-centric. Companies are intrigued to migrate their workload private cloud from on-premise Datacenter to Public cloud to take advantage of the latest innovations. It drives the business growth and…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-31 Subhadip Kumar