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Mansoor Mohsin

dblp:36/5563 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 77% Cloud and datacenter computing · 23%
Software engineering, system software, and programming languages
1 paper
Services computing and microservices · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Services computing and microservices
microservice architecture
0.312018
Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018
Distributed systems › consistency models
distributed consistency
0.312018
Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018
Distributed systems
fault tolerance
0.312018
Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018
Cloud and datacenter computing
cloud platform
0.112018
Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018
Cloud and datacenter computing › cloud platform
production cloud systems
0.112018
Service fabric: a distributed platform for building microservices in the cloud · EuroSys 2018

Methods — techniques the papers use, named apart from their topics

fault tolerance · 0.7distributed coordination · 0.7
YearPublicationVenuePosition
2018 Service fabric: a distributed platform for building microservices in the cloud
abstract
We describe Service Fabric (SF), Microsoft's distributed platform for building, running, and maintaining microservice applications in the cloud. SF has been running in production for 10+ years, powering many critical services at Microsoft. This paper outlines key design philosophies in SF. We then adopt a bottom-up approach to describe low-level components in its architecture, focusing on modular use and support for strong semantics like fault-tolerance and consistency within each component of SF. We discuss lessons learned, and present experimental results from production data.
Gopal Kakivaya, Lu Xun, Richard Hasha, Shegufta Bakht Ahsan, Todd Pfleiger, Rishi Sinha, Mihail Tarta, Mark Fussell, Vipul Modi, Mansoor Mohsin, Ray Kong, Anmol Ahuja, Oana Platon, Alex Wun, Matthew Snider, Chacko Daniel, Dan Mastrian, Aprameya Rao, Vaishnav Kidambi, Randy Wang, Abhishek Ram, Sumukh Shivaprakash, Rajeet Nair, Alan Warwick, Bharat S. Narasimman, Jeffrey Chen, Abhay Balkrishna Mhatre, Preetha Subbarayalu, Mert Coskun, Indranil Gupta
EuroSys11
2003 Reliable multicast in mobile networks
abstract
This paper describes a distributed algorithm for reliable multicast in mobile cellular networks. In the proposed solution the multicast message is flooded to all the base stations over reliable channels. The base stations then collectively ensure that all mobile nodes belonging to the multicast group get the message. The originality of our solution is that it is fully decentralized. Each base station can independently decide when to flush a message from its buffer. Even if a node moves from one cell to another while a multicast is in progress, delivery of the message to the node is guaranteed. Simulation experiments show that using the proposed solution, memory requirements at the base stations are significantly smaller than by using centralized solutions.
Ravi Prakash 0001, André Schiper, Mansoor Mohsin
WCNC3