Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Muntasir Raihan Rahman"'
Publikováno v:
2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW).
Publikováno v:
INFOCOM Workshops
Federated learning is a promising framework for learning over decentralized data spanning multiple regions. This approach avoids expensive central training data aggregation cost and can improve privacy because distributed sites do not have to reveal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08cc0f29a6d4e3ceb9a6457dac0c05a2
http://arxiv.org/abs/2012.07183
http://arxiv.org/abs/2012.07183
Publikováno v:
INFOCOM
5G technologies promise to revolutionize mobile networks and push them to the limits of resource utilization. Besides better capacity, we also need better resource management via virtualization. End-to-end network slicing not only involves the core b
Publikováno v:
NetSoft
5G is set to revolutionize the network service industry with unprecedented use-cases in industrial automation, augmented reality, virtual reality and many other domains. Network slicing is a key enabler to realize this concept, and comes with various
Autor:
Natacha Crooks, Philip A. Bernstein, Vivek Shah, Jose M. Faleiro, Adriana Szekeres, Sergey Bykov, Muntasir Raihan Rahman, Gabriel Kliot, Sebastian Burckhardt, Alok Kumbhare, Jorgen Thelin
Publikováno v:
Proceedings of the ACM on Programming Languages. 1:1-26
Many service applications use actors as a programming model for the middle tier, to simplify synchronization, fault-tolerance, and scalability. However, efficient operation of such actors in multiple, geographically distant datacenters is challenging
Publikováno v:
Sarnoff Symposium
Recently, multiple research teams aimed to address the scalability and fault-tolerance issues of Network Functions (NFs) by implementing a storage system (or distributed shared object) to share state across NF instances. Each system demonstrated prom
Publikováno v:
Web of Science
CNSM
CNSM
Efficient network slicing is vital to deal with the highly variable and dynamic characteristics of network traffic generated by a varied range of applications. The problem is made more challenging with the advent of new technologies such as 5G and ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5722df04d1183b1a4700ea3797c9a8cd
http://arxiv.org/abs/1908.03242
http://arxiv.org/abs/1908.03242
Autor:
Lalita Jategaonkar Jagadeesan, Young Jin, Nakjung Choi, Nishok N. Mohanasamy, Krishan Kumar Sabnani, Marina Thottan, Muntasir Raihan Rahman
Publikováno v:
NetSoft
Softwarization enables tremendous flexibility for networks as the use of software-defined networking (SDN) and programmable data planes (e.g. P4) together support dynamic reconfiguration of networks in real-time, in response to network conditions and
Publikováno v:
NetSoft
High-availability softwarized networks, while offering tremendous flexibility, typically require distributed implementations to ensure resilience and scalability. For example, in software-defined networking (SDN), the control plane constitutes the
Publikováno v:
IC2E
We present OPTiC, a multi-tenant scheduler intended for distributed graph processing frameworks. OPTiC proposes opportunistic scheduling, whereby queued jobs can be pre-scheduled at cluster nodes when the cluster is fully busy running jobs. This allo