SessionStore: A Session-Aware Datastore for the Edge

Mortazavi, Seyed Hossein; Salehe, Mohammad; Balasubramanian, Bharath; Lara, Eyal de; PuzhavakathNarayanan, Shankaranarayanan

doi:10.1109/icfec50348.2020.00014

Cited by 10 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Lin et al [28] Global Data Plane [65] fog-ready IPFS [9][10][11] PathStore [34][35][36] Naas et al [37,38] FogStore [19,20,30] Virtual Data Containers [47] Psaras et al [48] Griffin [61] Custom Data Management…”

Section: Global Mappingmentioning

confidence: 99%

See 1 more Smart Citation

Managing Data Replication and Distribution in the Fog with FReD

Pfandzelter¹,

Nils²,

Schirmer³

et al. 2023

Preprint

View full text Add to dashboard Cite

The heterogeneous, geographically distributed infrastructure of fog computing poses challenges in data replication, data distribution, and data mobility for fog applications. Fog computing is still missing the necessary abstractions to manage application data, and fog application developers need to re-implement data management for every new piece of software. Proposed solutions are limited to certain application domains, such as the IoT, are not flexible in regard to network topology, or do not provide the means for applications to control the movement of their data.In this paper, we present FReD, a data replication middleware for the fog. FReD serves as a building block for configurable fog data distribution and enables low-latency, high-bandwidth, and privacy-sensitive applications. FReD is a common data access interface across heterogeneous infrastructure and network topologies, provides transparent and controllable data distribution, and can be integrated with applications from different domains. To evaluate our approach, we present a prototype implementation of FReD and show the benefits of developing with FReD using three case studies of fog computing applications.

show abstract

Section: Global Mappingmentioning

confidence: 99%

“…Cloudpath [34][35][36] is a framework for a hierarchical fog computing infrastructure that includes a data management system, PathStore. In PathStore, storage nodes are arranged in a tree topology, with each node running a Cassandra cluster proportioned for its capabilities.…”

Section: Fog-nativementioning

confidence: 99%

Managing Data Replication and Distribution in the Fog with FReD

Pfandzelter¹,

Nils²,

Schirmer³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Cloudpath 11,45,46 is a framework for a hierarchical fog computing infrastructure that includes a data management system, PathStore. In PathStore, storage nodes are arranged in a tree topology, with each node running a Cassandra cluster proportioned for its capabilities.…”

Section: Fog-nativementioning

confidence: 99%

Managing data replication and distribution in the fog with FReD

et al. 2023

View full text Add to dashboard Cite

SummaryThe heterogeneous, geographically distributed infrastructure of fog computing poses challenges in data replication, data distribution, and data mobility for fog applications. Fog computing is still missing the necessary abstractions to manage application data, and fog application developers need to re‐implement data management for every new piece of software. Proposed solutions are limited to certain application domains, such as the IoT, are not flexible in regard to network topology, or do not provide the means for applications to control the movement of their data. In this paper, we present FReD, a data replication middleware for the fog. FReD serves as a building block for configurable fog data distribution and enables low‐latency, high‐bandwidth, and privacy‐sensitive applications. FReD is a common data access interface across heterogeneous infrastructure and network topologies, provides transparent and controllable data distribution, and can be integrated with applications from different domains. To evaluate our approach, we present a prototype implementation of FReD and show the benefits of developing with FReD using three case studies of fog computing applications.

show abstract

“…Supporting stateful applications is one of the key research challenges identified in the position paper [4] for serverless computing in the cloud. A datastore for edge computing with consistent replicas has been also proposed in [23], which reconciles only the data that are relevant to a given session for performance reasons. In [24] the authors have proposed HYDROCACHE, a distributed data caching system with multisite causal consistency, which can be used as state management for serverless DAG functions and has been shown to outperform uncached platforms in the cloud.…”

Section: Related Workmentioning

confidence: 99%

FaaS Execution Models for Edge Applications

Cicconetti¹,

Conti²,

Passarella³

2021

Preprint

View full text Add to dashboard Cite

In this paper, we address the problem of supporting stateful workflows following a Function-as-a-Service (FaaS) model in edge networks. In particular we focus on the problem of data transfer, which can be a performance bottleneck due to the limited speed of communication links in some edge scenarios and we propose three different schemes: a pure FaaS implementation, StateProp, i.e., propagation of the application state throughout the entire chain of functions, and StateLocal, i.e., a solution where the state is kept local to the workers that run functions and retrieved only as needed. We then extend the proposed schemes to the more general case of applications modeled as Directed Acyclic Graphs (DAGs), which cover a broad range of practical applications, e.g., in the Internet of Things (IoT) area. Our contribution is validated via a prototype implementation. Experiments in emulated conditions show that applying the data locality principle reduces significantly the volume of network traffic required and improves the end-to-end delay performance, especially with local caching on edge nodes and low link speeds.

show abstract

SessionStore: A Session-Aware Datastore for the Edge

Cited by 10 publications

References 28 publications

Managing Data Replication and Distribution in the Fog with FReD

Managing Data Replication and Distribution in the Fog with FReD

Managing data replication and distribution in the fog with FReD

FaaS Execution Models for Edge Applications

Contact Info

Product

Resources

About