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Byte-addressable persistent memories (PM) has finally made their way into production. An important and pressing problem that follows is how to deploy them in existing datacenters. One viable approach is to attach PM as self-contained…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-01-08 Shin-Yeh Tsai , Yiying Zhang

Memory-compute disaggregation promises transparent elasticity, high utilization and balanced usage for resources in data centers by physically separating memory and compute into network-attached resource "blades". However, existing designs…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-10-22 Seung-seob Lee , Yanpeng Yu , Yupeng Tang , Anurag Khandelwal , Lin Zhong , Abhishek Bhattacharjee

This paper describes how to augment techniques such as Distributed Shared Memory with recent trends on disaggregated Non Volatile Memory in the data centre so that the combination can be used in an edge environment with potentially volatile…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-02-08 Luis M Vaquero , Yehia Elkhatib , Felix Cuadrado

The concept of memory disaggregation has recently been gaining traction in research. With memory disaggregation, data center compute nodes can directly access memory on adjacent nodes and are therefore able to overcome local memory…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-04-28 Robin Abrahamse , Akos Hadnagy , Zaid Al-Ars

This paper studies the energy efficiency of composable datacentre (DC) infrastructures over network topologies. Using a mixed integer linear programming (MILP) model, we compare the performance of disaggregation at rack-scale and pod-scale…

Networking and Internet Architecture · Computer Science 2021-05-19 Opeyemi O. Ajibola , Taisir E. H. El-Gorashi , Jaafar M. H. Elmirghani

Datacenters of today have maintained the same architecture for decades using the server as the primary building block. However, this traditional approach suffers from under-utilization of its resources, often caused by over-allocating these…

Hardware Architecture · Computer Science 2024-02-21 Mohammad Ewais , Paul Chow

Memory disaggregation has emerged as an alternative to traditional server architecture in data centers. This paper introduces DRackSim, a simulation infrastructure to model rack-scale hardware disaggregated memory. DRackSim models multiple…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-06-24 Amit Puri , John Jose , Tamarapalli Venkatesh , Vijaykrishnan Narayanan

Disaggregated memory is an upcoming data center technology that will allow nodes (servers) to share data efficiently. Sharing data creates a debate on the level of cache coherence the system should provide. While current proposals aim to…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-24 Jaewan Hong , Marcos K. Aguilera , Emmanuel Amaro , Vincent Liu , Aurojit Panda , Ion Stoica

The future of computing systems is inevitably embracing a disaggregated and composable pattern: from clusters of computers to pools of resources that can be dynamically combined together and tailored around applications requirements.…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-02 Christian Pinto , Dong Li , Thaleia Dimitra Doudali , Christina Giannoula , Jie Ren

While (1) serverless computing is emerging as a popular form of cloud execution, datacenters are going through major changes: (2) storage dissaggregation in the system infrastructure level and (3) integration of domain-specific accelerators…

Memory disaggregation has attracted great attention recently because of its benefits in efficient memory utilization and ease of management. So far, memory disaggregation research has all taken one of two approaches: building/emulating…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-01-24 Zhiyuan Guo , Yizhou Shan , Xuhao Luo , Yutong Huang , Yiying Zhang

Nowadays, datacenters lean on a computer-centric approach based on monolithic servers which include all necessary hardware resources (mainly CPU, RAM, network and disks) to run applications. Such an architecture comes with two main…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-04-12 Brice Ekane , Yohan Pipereau , Boris Teabe , Alain Tchana , Gael Thomas , Noel de palma , Daniel Hagimont

Database management systems (DBMSs) carefully optimize complex multi-join queries to avoid expensive disk I/O. As servers today feature tens or hundreds of gigabytes of RAM, a significant fraction of many analytic databases becomes…

Databases · Computer Science 2015-07-22 Feilong Liu , Spyros Blanas

Resource disaggregation offers a cost effective solution to resource scaling, utilization, and failure-handling in data centers by physically separating hardware devices in a server. Servers are architected as pools of processor, memory,…

Hardware Architecture · Computer Science 2023-01-25 Christina Giannoula , Kailong Huang , Jonathan Tang , Nectarios Koziris , Georgios Goumas , Zeshan Chishti , Nandita Vijaykumar

In future data centers, applications will make heavy use of far memory (including disaggregated memory pools and NVM). The access latency of far memory is more widely distributed than that of local memory accesses. This makes the efficiency…

Hardware Architecture · Computer Science 2021-12-28 Luming Wang , Xu Zhang , Tianyue Lu , Mingyu Chen

The diversity of workload requirements and increasing hardware heterogeneity in emerging high performance computing (HPC) systems motivate resource disaggregation. Resource disaggregation allows compute and memory resources to be allocated…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-07-19 George Michelogiannakis , Yehia Arafa , Brandon Cook , Liang Yuan Dai , Abdel Hameed Badawy , Madeleine Glick , Yuyang Wang , Keren Bergman , John Shalf

Memory disaggregation is an emerging technology that decouples memory from traditional memory buses, enabling independent scaling of compute and memory. Compute Express Link (CXL), an open-standard interconnect technology, facilitates…

Hardware Architecture · Computer Science 2025-03-27 Yujie Yang , Lingfeng Xiang , Peiran Du , Zhen Lin , Weishu Deng , Ren Wang , Andrey Kudryavtsev , Louis Ko , Hui Lu , Jia Rao

The disaggregated memory (DM) architecture offers high resource elasticity at the cost of data access performance. While caching frequently accessed data in compute nodes (CNs) reduces access overhead, it requires costly centralized…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-05-26 Hanze Zhang , Kaiming Wang , Rong Chen , Xingda Wei , Haibo Chen

Memory disaggregation provides efficient memory utilization across network-connected systems. It allows a node to use part of memory in remote nodes in the same cluster. Recent studies have improved RDMA-based memory disaggregation systems,…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-09-07 Taekyung Heo , Seunghyo Kang , Sanghyeon Lee , Soojin Hwang , Jaehyuk Huh

Recent trends see a move away from a fixed-resource server-centric datacenter model to a more adaptable "disaggregated" datacenter model. These disaggregated datacenters can then dynamically group resources to the specific requirements of…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-10-24 Rashadul Kabir , Ryan G. Kim , Mahdi Nikdast