ms‐PoSW: A multi‐server aided proof of shared ownership scheme for secure deduplication in cloud

2017 ◽  
Vol 32 (3) ◽  
Author(s):  
Jinbo Xiong ◽  
Yuanyuan Zhang ◽  
Li Lin ◽  
Jian Shen ◽  
Xuan Li ◽  
...  
Keyword(s):  
Multi Server ◽  
Ownership Scheme ◽  
Shared Ownership

Optimization of a Multi-Server Stochastic Financial Queue

2019 ◽  
Author(s):  
Bhupender Kumar Soam ◽  
Shweta Bhatia ◽  
Kirti Sharma
Keyword(s):  
Multi Server

scholarly journals Zero Queueing for Multi-Server Jobs

2021 ◽  
Vol 5 (1) ◽  
pp. 1-25
Author(s):  
Weina Wang ◽  
Qiaomin Xie ◽  
Mor Harchol-Balter
Keyword(s):  
Cloud Computing ◽  
Stability Region ◽  
Transient Analysis ◽  
Queueing Systems ◽  
Sufficient Conditions ◽  
Hard Problem ◽  
Queueing Model ◽  
Multiple Servers ◽  
First Results ◽  
Multi Server

Cloud computing today is dominated by multi-server jobs. These are jobs that request multiple servers simultaneously and hold onto all of these servers for the duration of the job. Multi-server jobs add a lot of complexity to the traditional one-server-per-job model: an arrival might not "fit'' into the available servers and might have to queue, blocking later arrivals and leaving servers idle. From a queueing perspective, almost nothing is understood about multi-server job queueing systems; even understanding the exact stability region is a very hard problem. In this paper, we investigate a multi-server job queueing model under scaling regimes where the number of servers in the system grows. Specifically, we consider a system with multiple classes of jobs, where jobs from different classes can request different numbers of servers and have different service time distributions, and jobs are served in first-come-first-served order. The multi-server job model opens up new scaling regimes where both the number of servers that a job needs and the system load scale with the total number of servers. Within these scaling regimes, we derive the first results on stability, queueing probability, and the transient analysis of the number of jobs in the system for each class. In particular we derive sufficient conditions for zero queueing. Our analysis introduces a novel way of extracting information from the Lyapunov drift, which can be applicable to a broader scope of problems in queueing systems.

A Multi-server ORAM Framework with Constant Client Bandwidth Blowup

2020 ◽  
Vol 23 (1) ◽  
pp. 1-35 ◽  
Author(s):  
Thang Hoang ◽  
Attila A. Yavuz ◽  
Jorge Guajardo
Keyword(s):  
Multi Server
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