Uncoded Storage Coded Transmission Elastic Computing with Straggler Tolerance in Heterogeneous Systems

Document Type

Conference Proceeding

Publication Date

1-1-2024

Abstract

In 2018, Yang et al. introduced a novel and effective approach, using maximum distance separable (MDS) codes, to mitigate the impact of elasticity in cloud computing systems. This approach is referred to as coded elastic computing. Some limitations of this approach include that it assumes all virtual machines have the same computing speeds and storage capacities, and it cannot tolerate stragglers for matrix-matrix multiplications. In order to resolve these limitations, in this paper, we introduce a new combinatorial optimization framework, named uncoded storage coded transmission elastic computing (USCTEC), for heterogeneous speeds and storage constraints, aiming to minimize the expected computation time for matrix-matrix multiplications, under the consideration of straggler tolerance. Within this framework, we propose optimal solutions with straggler tolerance under relaxed storage constraints. Moreover, we propose a heuristic algorithm that considers heterogeneous storage constraints. Our results demonstrate that the proposed algorithm outperforms baseline solutions utilizing cyclic storage placements, in terms of both expected computation time and storage size.

Identifier

85202877924 (Scopus)

ISBN

[9781728190549]

Publication Title

IEEE International Conference on Communications

External Full Text Location

https://doi.org/10.1109/ICC51166.2024.10622246

ISSN

15503607

First Page

4730

Last Page

4735

Grant

2145835

Fund Ref

National Science Foundation

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