Designing a Dynamic Replication Engine for Grid Shared Data Programming

2008 ◽  
Author(s):  
Georgiana Macariu ◽  
Dacian Tudor ◽  
Vladimir Cretu
Keyword(s):  
Shared Data ◽  
Dynamic Replication

INTEGRATED METHOD FOR DYNAMIC REPLICATION OF SERVICES IN SOFTWARE-DEFINED NETWORKS

2017 ◽  
Vol 76 (5) ◽  
pp. 417-432
Author(s):  
E. Tkachova ◽  
A. T. Abu Jassar
Keyword(s):  
Software Defined Networks ◽  
Integrated Method ◽  
Dynamic Replication

Auditing the Shared Data in Cloud through Privacy Preserving Mechanisms

2015 ◽  
Vol 2 (2) ◽  
pp. 22-30
Author(s):  
Lokanadham Naidu Vadlamudi ◽  
◽  
Srinivasulu Asadi ◽  
Keyword(s):  
Privacy Preserving ◽  
Shared Data

A DYNAMIC REPLICATION MECHANISM IN DATA GRID BASED ON A WEIGHTED PRIORITY - BASED SCHEME

2019 ◽  
Vol 6 (1) ◽  
pp. 9
Author(s):  
SAMADI GHARAJEH MOHAMMAD ◽  
Keyword(s):  
Data Grid ◽  
Replication Mechanism ◽  
Dynamic Replication ◽  
Grid Based

Fast Database Joins and PSI for Secret Shared Data

2020 ◽  
Author(s):  
Payman Mohassel ◽  
Peter Rindal ◽  
Mike Rosulek
Keyword(s):  
Shared Data

Travel user interest discovery from visual shared data in social networks

2017 ◽  
Author(s):  
Fatima Mohamed Yassin ◽  
Onsa Lazzez ◽  
Wael Ouarda ◽  
Adel M. Alimi
Keyword(s):  
Social Networks ◽  
User Interest ◽  
Shared Data

scholarly journals State Management for Cloud-Native Applications

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 423
Author(s):  
Márk Szalay ◽  
Péter Mátray ◽  
László Toka
Keyword(s):  
Large Scale ◽  
Distributed Databases ◽  
Access Time ◽  
Replica Placement ◽  
State Management ◽  
Placement Decisions ◽  
Dynamic Replication ◽  
Cloud Databases ◽  
Placement Algorithm ◽  
The One

The stateless cloud-native design improves the elasticity and reliability of applications running in the cloud. The design decouples the life-cycle of application states from that of application instances; states are written to and read from cloud databases, and deployed close to the application code to ensure low latency bounds on state access. However, the scalability of applications brings the well-known limitations of distributed databases, in which the states are stored. In this paper, we propose a full-fledged state layer that supports the stateless cloud application design. In order to minimize the inter-host communication due to state externalization, we propose, on the one hand, a system design jointly with a data placement algorithm that places functions’ states across the hosts of a data center. On the other hand, we design a dynamic replication module that decides the proper number of copies for each state to ensure a sweet spot in short state-access time and low network traffic. We evaluate the proposed methods across realistic scenarios. We show that our solution yields state-access delays close to the optimal, and ensures fast replica placement decisions in large-scale settings.

scholarly journals Multi-Dimensional Failure Modeling for Shared Data in Cooperative Systems

2020 ◽  
Vol 53 (2) ◽  
pp. 15461-15468
Author(s):  
Georg Jäger ◽  
Konstantin Kirchheim ◽  
Frank Schrödel ◽  
Sebastian Zug
Keyword(s):  
Cooperative Systems ◽  
Shared Data ◽  
Failure Modeling

Comment on A Lightweight Auditing Service for Shared Data with Secure User Revocation in Cloud Storage

2021 ◽  
pp. 1-1
Author(s):  
Jinyong Chang ◽  
Bilin Shao ◽  
Yanyan Ji ◽  
Genqing Bian
Keyword(s):  
Cloud Storage ◽  
Shared Data ◽  
User Revocation
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