Queries Based Workload Management System for the Cloud Environment

2014 ◽  
pp. 77-86 ◽  
Author(s):  
Eman A. Maghawry ◽  
Rasha M. Ismail ◽  
Nagwa L. Badr ◽  
Mohamed Fahmy Tolba
Keyword(s):  
Management System ◽  
Cloud Environment ◽  
Workload Management

Workload Management Systems for the Cloud Environment

2017 ◽  
pp. 94-113
Author(s):  
Eman A. Maghawry ◽  
Rasha M. Ismail ◽  
Nagwa. L. Badr ◽  
Mohamed F. Tolba
Keyword(s):  
Response Time ◽  
Performance Management ◽  
Management System ◽  
Database Management System ◽  
Cloud Environment ◽  
Workload Management ◽  
The Core ◽  
Query Response Time ◽  
Virtual Resources ◽  
Core Problem

Workload Management is a performance management process in which an autonomic database management system on a cloud environment efficiently makes use of its virtual resources. Workload management for concurrent queries is one of the challenging aspects of executing queries over the cloud. The core problem is to manage any unpredictable overload with respect to varying resource capabilities and performances. This chapter proposes an efficient workload management system for controlling the queries execution over a cloud. The chapter presents architecture to improve the query response time. It handles the user's queries then selecting the suitable resources for executing these queries. Furthermore, managing the life cycle of virtual resources through responding to any load that occurs on the resources. This is done by dynamically rebalancing the queries distribution load across the resources in the cloud. The results show that applying this Workload Management System improves the query response time by 68%.

The Workload Management System for Nursing

1990 ◽  
Author(s):  
DEPARTMENT OF THE ARMY WASHINGTON DC
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals Integration of Panda Workload Management System with supercomputers

2016 ◽  
Vol 13 (5) ◽  
pp. 647-653 ◽  
Author(s):  
K. De ◽  
S. Jha ◽  
A. Klimentov ◽  
T. Maeno ◽  
R. Mashinistov ◽  
...  
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals The gLite Workload Management System

2010 ◽  
Vol 219 (6) ◽  
pp. 062039 ◽  
Author(s):  
Cecchi Marco ◽  
Capannini Fabio ◽  
Dorigo Alvise ◽  
Ghiselli Antonia ◽  
Gianelle Alessio ◽  
...  
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals gLExec and MyProxy integration in the ATLAS/OSG PanDA workload management system

2010 ◽  
Vol 219 (7) ◽  
pp. 072028 ◽  
Author(s):  
J Caballero ◽  
J Hover ◽  
M Litmaath ◽  
T Maeno ◽  
P Nilsson ◽  
...  
Keyword(s):  
Management System ◽  
Workload Management

scholarly journals FUZZY BASED TRUST MANAGEMENT SYSTEM FOR CLOUD ENVIRONMENT

2016 ◽  
Vol 10 (30) ◽  
pp. 32-37 ◽  
Author(s):  
Sunil Kumar ◽  
Sumit Mittal ◽  
Manpreet Singh
Keyword(s):  
Management System ◽  
Trust Management ◽  
Cloud Environment ◽  
Trust Management System

scholarly journals Secure Command Line Solution for Token-based Authentication

2021 ◽  
Vol 251 ◽  
pp. 02036
Author(s):  
Dave Dykstra ◽  
Mine Altunay ◽  
Jeny Teheran
Keyword(s):  
Open Source ◽  
High Throughput ◽  
Management System ◽  
Command Line ◽  
Web Browser ◽  
Workload Management ◽  
High Throughput Computing ◽  
Industry Standard ◽  
Client Software ◽  
Security Infrastructure

The WLCG is modernizing its security infrastructure, replacing X.509 client authentication with the newer industry standard of JSON Web Tokens (JWTs) obtained through the Open ID Connect (OIDC) protocol. There is a wide variety of software available using the standards, but most of it is for Web browser-based applications and doesn’t adapt well to the command line-based software used heavily in High Throughput Computing (HTC). OIDC command line client software did exist, but it did not meet our requirements for security and convenience. This paper discusses a command line solution we have made based on the popular existing secrets management software from Hashicorp called vault. We made a package called htvault-config to easily configure a vault service and another called htgettoken to be the vault client. In addition, we have integrated use of the tools into the HTCondor workload management system, although they also work well independent of HTCondor. All of the software is open source, under active development, and ready for use.

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