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Cloud has been a computational and storage solution for many data centric organizations. The problem today those organizations are facing from the cloud is in data searching in an efficient manner. A framework is required to distribute the…

Distributed, Parallel, and Cluster Computing · Computer Science 2014-03-24 Gita Shah , Annappa , K. C. Shet

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

Disaggregated memory breaks the boundary of monolithic servers to enable memory provisioning on demand. Using network-attached memory to provide memory expansion for memory-intensive applications on compute nodes can improve the overall…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-10-04 Jacob Wahlgren , Gabin Schieffer , Maya Gokhale , Roger Pearce , Ivy Peng

To keep up with demand, servers will scale up to handle hundreds of thousands of clients simultaneously. Much of the focus of the community has been on scaling servers in terms of aggregate traffic intensity (packets transmitted per…

Networking and Internet Architecture · Computer Science 2021-06-11 Yimeng Zhao , Ahmed Saeed , Mostafa Ammar , Ellen Zegura

To match the blooming demand of generative AI workloads, GPU designers have so far been trying to pack more and more compute and memory into single complex and expensive packages. However, there is growing uncertainty about the scalability…

Hardware Architecture · Computer Science 2025-04-30 Burcu Canakci , Junyi Liu , Xingbo Wu , Nathanaël Cheriere , Paolo Costa , Sergey Legtchenko , Dushyanth Narayanan , Ant Rowstron

Federated learning enables different parties to collaboratively build a global model under the orchestration of a server while keeping the training data on clients' devices. However, performance is affected when clients have heterogeneous…

Machine Learning · Computer Science 2022-06-20 Fabiola Espinoza Castellon , Aurelien Mayoue , Jacques-Henri Sublemontier , Cedric Gouy-Pailler

One of the most vital activities to reduce energy consumption in wireless sensor networks is clustering. In clustering, one node from a group of nodes is selected to be a cluster head, which handles majority of the computation and…

Networking and Internet Architecture · Computer Science 2016-01-18 Payal Pahwa , Deepali Virmani , Akshay Kumar , Sahil , Vikas Rathi , Sunil Swami

Cluster computing was introduced to replace the superiority of super computers. Cluster computing is able to overcome the problems that cannot be effectively dealt with supercomputers. In this paper, we are going to evaluate the performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-09-15 Cinantya Paramita , Fauzi Adi Rafrastara , Usman Sudibyo , R. I. W. Agung Wibowo

Nowadays most of the cloud applications process large amount of data to provide the desired results. Data volumes to be processed by cloud applications are growing much faster than computing power. This growth demands new strategies for…

Distributed, Parallel, and Cluster Computing · Computer Science 2012-07-05 B. Thirumala Rao , N. V. Sridevi , V. Krishna Reddy , L. S. S. Reddy

Clustering is a promising approach for building hierarchies and simplifying the routing process in mobile ad-hoc network environments. The main objective of clustering is to identify suitable node representatives, i.e. cluster heads (CHs),…

Distributed, Parallel, and Cluster Computing · Computer Science 2011-09-20 Damianos Gavalas , Grammati Pantziou , Charalampos Konstantopoulos , Basilis Mamalis

Parallel programming is emerging fast and intensive applications need more resources, so there is a huge demand for on-chip multiprocessors. Accessing L1 caches beside the cores are the fastest after registers but the size of private caches…

Performance · Computer Science 2016-09-27 Diman Zad Tootaghaj , Farshid Farhat

The rapid adoption of AI and convenience offered by cloud services have resulted in the growing demands for GPUs in the cloud. Generally, GPUs are physically attached to host servers as PCIe devices. However, the fixed assembly combination…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-10 Bowen He , Xiao Zheng , Yuan Chen , Weinan Li , Yajin Zhou , Xin Long , Pengcheng Zhang , Xiaowei Lu , Linquan Jiang , Qiang Liu , Dennis Cai , Xiantao Zhang

Data centers are on the rise and scientists are re-thinking and re-designing networks for data centers. The concept of central control which was not effective in the Internet era is now gaining popularity and is used in many data centers…

Networking and Internet Architecture · Computer Science 2024-02-05 Mohana Prasad Sathya Moorthy

High-performance computing (HPC) researchers have long envisioned scenarios where application workflows could be improved through the use of programmable processing elements embedded in the network fabric. Recently, vendors have introduced…

Networking and Internet Architecture · Computer Science 2021-05-17 Jianshen Liu , Carlos Maltzahn , Craig Ulmer , Matthew Leon Curry

Aggregated HPC resources have rigid allocation systems and programming models which struggle to adapt to diverse and changing workloads. Consequently, HPC systems fail to efficiently use the large pools of unused memory and increase the…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-29 Marcin Copik , Marcin Chrapek , Larissa Schmid , Alexandru Calotoiu , Torsten Hoefler

Modern high-performance computing architectures (Multicore, GPU, Manycore) are based on tightly-coupled clusters of processing elements, physically implemented as rectangular tiles. Their size and aspect ratio strongly impact the achievable…

Hardware Architecture · Computer Science 2022-09-05 Gianna Paulin , Matheus Cavalcante , Paul Scheffler , Luca Bertaccini , Yichao Zhang , Frank Gürkaynak , Luca Benini

A conventional data center that consists of monolithic-servers is confronted with limitations including lack of operational flexibility, low resource utilization, low maintainability, etc. Resource disaggregation is a promising solution to…

Operating Systems · Computer Science 2020-10-27 Ryousei Takano , Kuniyasu Suzaki

Cloud computing is an established technology allowing users to share resources on a large scale, never before seen in IT history. A cloud system connects multiple individual servers in order to process related tasks in several environments…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Leszek Sliwko

Wireless Sensor Networks (WSNs) play a pivotal role in enabling Internet of Things (IoT) devices with sensing and actuation capabilities. Operating in remote and resource-constrained environments, these IoT devices face challenges related…

Networking and Internet Architecture · Computer Science 2025-03-20 F. Fernando Jurado-Lasso , J. F. Jurado , Xenofon Fafoutis

Today's Cloud applications are dominated by composite applications comprising multiple computing and data components with strong communication correlations among them. Although Cloud providers are deploying large number of computing and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-06-20 Md Hasanul Ferdaus , Manzur Murshed , Rodrigo N. Calheiros , Rajkumar Buyya