Efficient Redundancy Techniques in Cloud and Desktop Grid Systems using MAP/G/c-type Queues

Autor: Srinivas R. Chakravarthy, Alexander Rumyantsev
Rok vydání: 2018
Předmět:
Environmental Engineering
Computer science
Distributed computing
phase type distribution
Aerospace Engineering
Cloud computing
02 engineering and technology
desktop grids
01 natural sciences
distributed computing
010104 statistics & probability
Matrix analytic method
0202 electrical engineering
electronic engineering
information engineering

Redundancy (engineering)
General Materials Science
Phase-type distribution
Grid system
Markovian arrival process
0101 mathematics
Electrical and Electronic Engineering
Queue
Civil and Structural Engineering
Queueing theory
business.industry
Mechanical Engineering
cloud computing
020206 networking & telecommunications
simulation
Engineering (General). Civil engineering (General)
heavy tails
queueing
matrix-analytic method
TA1-2040
business
markovian arrival process
Zdroj: Open Engineering, Vol 8, Iss 1, Pp 17-31 (2018)
ISSN: 2391-5439
DOI: 10.1515/eng-2018-0004
Popis: Cloud computing is continuing to prove its flexibility and versatility in helping industries and businesses as well as academia as a way of providing needed computing capacity. As an important alternative to cloud computing, desktop grids allow to utilize the idle computer resources of an enterprise/community by means of distributed computing system, providing a more secure and controllable environment with lower operational expenses. Further, both cloud computing and desktop grids are meant to optimize limited resources and at the same time to decrease the expected latency for users. The crucial parameter for optimization both in cloud computing and in desktop grids is the level of redundancy (replication) for service requests/workunits. In this paper we study the optimal replication policies by considering three variations of Fork-Join systems in the context of a multi-server queueing system with a versatile point process for the arrivals. For services we consider phase type distributions as well as shifted exponential and Weibull. We use both analytical and simulation approach in our analysis and report some interesting qualitative results.
Databáze: OpenAIRE