ReStorEdge: An edge computing system with reuse semantics
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866910460904734720 |
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| author | Nicolaescu, Adrian-Cristian Mastorakis, Spyridon Azad, Md Washik Al Griffin, David Rio, Miguel |
| author_facet | Nicolaescu, Adrian-Cristian Mastorakis, Spyridon Azad, Md Washik Al Griffin, David Rio, Miguel |
| contents | This paper investigates an edge computing system where requests are processed by a set of replicated edge servers. We investigate a class of applications where similar queries produce identical results. To reduce processing overhead on the edge servers we store the results of previous computations and return them when new queries are sufficiently similar to earlier ones that produced the results, avoiding the necessity of processing every new query. We implement a similarity-based data classification system, which we evaluate based on real-world datasets of images and voice queries. We evaluate a range of orchestration strategies to distribute queries and cached results between edge nodes and show that the throughput of queries over a system of distributed edge nodes can be increased by 25-33%, increasing its capacity for higher workloads. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_17263 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | ReStorEdge: An edge computing system with reuse semantics Nicolaescu, Adrian-Cristian Mastorakis, Spyridon Azad, Md Washik Al Griffin, David Rio, Miguel Emerging Technologies Databases Distributed, Parallel, and Cluster Computing Networking and Internet Architecture This paper investigates an edge computing system where requests are processed by a set of replicated edge servers. We investigate a class of applications where similar queries produce identical results. To reduce processing overhead on the edge servers we store the results of previous computations and return them when new queries are sufficiently similar to earlier ones that produced the results, avoiding the necessity of processing every new query. We implement a similarity-based data classification system, which we evaluate based on real-world datasets of images and voice queries. We evaluate a range of orchestration strategies to distribute queries and cached results between edge nodes and show that the throughput of queries over a system of distributed edge nodes can be increased by 25-33%, increasing its capacity for higher workloads. |
| title | ReStorEdge: An edge computing system with reuse semantics |
| topic | Emerging Technologies Databases Distributed, Parallel, and Cluster Computing Networking and Internet Architecture |
| url | https://arxiv.org/abs/2405.17263 |