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HEPScore is a new CPU benchmark created to replace the HEPSPEC06 benchmark that is currently used by the WLCG for procurement, computing resource pledges and performance studies. The development of the new benchmark, based on HEP…

In a continuous deployment setting, Function-as-a-Service (FaaS) applications frequently receive updated releases, each of which can cause a performance regression. While continuous benchmarking, i.e., comparing benchmark results of the…

分布式、并行与集群计算 · 计算机科学 2024-08-20 Tim C. Rese , Nils Japke , Sebastian Koch , Tobias Pfandzelter , David Bermbach

It is very challenging part to keep safely all required data that are needed in many applications for user in cloud. Storing our data in cloud may not be fully trustworthy. Since client doesn't have copy of all stored data, he has to depend…

分布式、并行与集群计算 · 计算机科学 2011-11-11 C. Dinesh

Large-scale distributed computing infrastructures such as the Worldwide LHC Computing Grid (WLCG) require comprehensive simulation tools for evaluating performance, testing new algorithms, and optimizing resource allocation strategies.…

Cloud Computing holds the potential to eliminate the requirements for setting up of high-cost computing infrastructure for the IT-based solutions and services that the industry uses. It promises to provide a flexible IT architecture,…

密码学与安全 · 计算机科学 2013-05-22 Rohit Bhadauria , Rituparna Chaki , Nabendu Chaki , Sugata Sanyal

Considering the diverse nature of real-world distributed applications that makes it hard to identify a representative subset of distributed benchmarks, we focus on their underlying distributed algorithms. We present and characterize a new…

分布式、并行与集群计算 · 计算机科学 2013-10-11 Suyash Gupta , V. Krishna Nandivada

While edge computing is envisioned to superbly serve latency sensitive applications, the implementation-based studies benchmarking its performance are few and far between. To address this gap, we engineer a modular edge cloud computing…

网络与互联网体系结构 · 计算机科学 2020-09-02 Francisco Carpio , Marta Delgado , Admela Jukan

As the amount of data explodes rapidly, more and more corporations are using data centers to make effective decisions and gain a competitive edge. Data analysis applications play a significant role in data centers, and hence it has became…

性能 · 计算机科学 2013-07-31 Zhen Jia , Lei Wang , Jianfeng Zhan , Lixin Zhang , Chunjie Luo

The emergence of cloud computing based on virtualization technologies brings huge opportunities to host virtual resource at low cost without the need of owning any infrastructure. Virtualization technologies enable users to acquire,…

分布式、并行与集群计算 · 计算机科学 2017-03-08 Minxian Xu , Wenhong Tian , Rajkumar Buyya

Cloud computing is a recent paradigm based around the notion of delivery of resources via a service model over the Internet. Despite being a new paradigm of computation, cloud computing owes its origins to a number of previous paradigms.…

分布式、并行与集群计算 · 计算机科学 2013-06-07 Jonathan Stuart Ward , Adam Barker

Cloud computing is a Technology that has come out in the last decade and that is transforming the IT industry in huge. The Cloud computing is playing a vital role as a backbone component of the Internet of Things (IoT). In a Cloud Computing…

软件工程 · 计算机科学 2019-05-28 Dhanamma Jagli , Seema Purohit , N. Subhash Chandra

Cloud computing is the latest computing paradigm that delivers hardware and software resources as virtualized services in which users are free from the burden of worrying about the low-level system administration details. Migrating Web…

分布式、并行与集群计算 · 计算机科学 2012-03-20 Michael Menzel , Rajiv Ranjan

Given the continually increasing amount of commercial Cloud services in the market, evaluation of different services plays a significant role in cost-benefit analysis or decision making for choosing Cloud Computing. In particular, employing…

分布式、并行与集群计算 · 计算机科学 2013-02-11 Zheng Li , Liam O'Brien , He Zhang , Rainbow Cai

Applications employed in the financial services industry to capture and estimate a variety of risk metrics are underpinned by stochastic simulations which are data, memory and computationally intensive. Many of these simulations are…

分布式、并行与集群计算 · 计算机科学 2014-12-16 Blesson Varghese , Adam Barker

Point clouds are widely regarded as one of the best dataset types for urban mapping purposes. Hence, point cloud datasets are commonly investigated as benchmark types for various urban interpretation methods. Yet, few researchers have…

计算机视觉与模式识别 · 计算机科学 2023-04-17 Olaf Wysocki , Ludwig Hoegner , Uwe Stilla

Next generation technologies such as smart healthcare, self-driving cars, and smart cities require new approaches to deal with the network traffic generated by the Internet of Things (IoT) devices, as well as efficient programming models to…

分布式、并行与集群计算 · 计算机科学 2022-10-20 Quoc Lap Trieu , Bahman Javadi , Jim Basilakis , Adel N. Toosi

We present a graph processing benchmark suite with the goal of helping to standardize graph processing evaluations. Fewer differences between graph processing evaluations will make it easier to compare different research efforts and…

分布式、并行与集群计算 · 计算机科学 2017-05-18 Scott Beamer , Krste Asanović , David Patterson

In recent times cloud computing has appeared as a new model for hosting and conveying services over the Internet. This model is striking to business vendors as it eradicates the requirement for users to plan in advance, and it permits the…

分布式、并行与集群计算 · 计算机科学 2013-04-25 Sultan Ullah , Zheng Xuefeng

Fully understanding performance is a growing challenge when building next-generation cloud systems. Often these systems build on next-generation hardware, and evaluation in realistic physical testbeds is out of reach. Even when physical…

性能 · 计算机科学 2024-08-13 Jakob Görgen , Vaastav Anand , Hejing Li , Jialin Li , Antoine Kaufmann

Cloud native computing paradigm allows microservice-based applications to take advantage of cloud infrastructure in a scalable, reusable, and interoperable way. However, in a cloud native system, the vast number of configuration parameters…

分布式、并行与集群计算 · 计算机科学 2021-12-30 Michel Gokan Khan , Javid Taheri , Auday Al-Dulaimy , Andreas Kassler