Gossip-based service monitoring platform for wireless edge cloud computing

Abstract

Edge cloud computing proposes to support shared services, by using the infrastructure at the network's edge. An important problem is the monitoring and management of services across the edge environment. Therefore, dissemination and gathering of data is not straightforward, differing from the classic cloud infrastructure. In this paper, we consider the environment of community networks for edge cloud computing, in which the monitoring of cloud services is required. We propose a monitoring platform to collect near real-time data about the services offered in the community network using a gossip-enabled network. We analyze and apply this gossip-enabled network to perform service discovery and information sharing, enabling data dissemination among the community. We implemented our solution as a prototype and used it for collecting service monitoring data from the real operational community network cloud, as a feasible deployment of our solution. By means of emulation and simulation we analyze in different scenarios, the behavior of the gossip overlay solution, and obtain average results regarding information propagation and consistency needs, i.e. in high latency situations, data convergence occurs within minutes.

A Hierarchical Failure Detector Based on Architecture in VANETs

“…However, the two-tier failure detection protocol needs to consume more computing resources to implement grouping. Apolonia [18] proposed a multitier failure detection protocol according to the architecture of cloud computing. This protocol enables monitoring to be performed locally without the need for significant additional computing resources.…”

Addressing the Challenges in Federating Edge Resources

“…Current technologies have limited scope in realizing this because of the large overheads and the lack of suitability for resource-constrained environments, such as the Edge. We will provide a discussion on management issues -benchmarking, provisioning, discovery, scaling and migration and provide research directions to address these [8] [9]. Additionally, we present the resource and modeling challenges in this area.…”

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Throughout this chapter, we use the general term "Edge" to refer to a collection of technologies that aim towards decentralizing data center resources for bringing computational resources closer to the end user. Mobile Cloud Computing (MCC), Cloudlets, Fog computing, Multi-access Edge Computing (MEC) can all be considered as instances of Edge computing [9]. Therefore, generally speaking, the principles discussed in this chapter can be broadly applied to the aforementioned technologies.The remainder of this chapter is organized in line with the above discussion and is as follows.

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