Paper Info
Title
An energy saving approach: understanding microservices as multidimensional entities in p2p networks
Abstract
ABSTRACTWith the use of microservices, many software solutions have been improved in terms of scalability, response efficiency, ease of load balancing among others. However, it is still a challenge to dynamically deploy them according to devices' heterogeneity and energy consumption concerns, while maintaining a defined QoS. Centralized and decentralized approaches that manage microservices deployment have the traditional pros and cons long discussed over time. While the former offer greater control over distributed application components, the latter offers frugal network negotiations, no system-wide crashes, privacy, among others. This work focuses on identifying "ideal" host candidates for microservices' execution in a decentralized network, applying run-time scheduling operations (migration or duplication) to reduce energy consumption. To do this, we created a scheduling algorithm using MAAN (a P2P approach) to interpret a decentralized network as a multidimensional resource (capacity-demand) space, which supports range queries in a logarithmic quantity of hops. In this way, a node that runs a set of microservices is able to 1) map them in terms of their execution requirements (i.e. CPU frequency, RAM capacity, Network rate and disk speed) 2) Select an ideal microservice to be moved or duplicated, 3) find ideal node(s) that meet all those requirements in an optimal computational complexity and 4) negotiate the movement or duplication of the selected microservice, by analyzing energy consumption and QoS criteria.
Year
DOI
Venue
2021
10.1145/3412841.3441888
Symposium on Applied Computing
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Hernán Humberto Álvarez-Valera100.34
Marc Dalmau29621.57
Philippe Roose300.34
Jorge Larracoechea400.34
Christina Herzog511.70