The increasing pervasiveness of mobile and embedded devices (IoT/Edge), combined with the access to Cloud infrastructures, makes it possible to build scalable distributed systems, characterized by a multi-dimensional architecture. The overall picture is a massive collection of computing devices, characterized by very heterogeneous levels of performance and power consumption, which we could exploit to reduce the need to access Cloud computing resources. This would play a key role, especially for emerging use cases, where huge amount of data are generated. However, the deployment of distributed applications on such an heterogeneous infrastructures requires suitable management layers. This position paper aims at: (a) proposing a fully-distributed, cooperative, dynamic and multi-layered architecture, capable of integrating different computing paradigms; (b) identifying a possible solution to manage workloads at run-time in a resources continuity perspective, through an analysis of the open research challenges.
Back to the Future: Resource Management in Post-Cloud Solutions
Zanella, Michele;Massari, Giuseppe;GALIMBERTI, ANDREA;Fornaciari, William
2018-01-01
Abstract
The increasing pervasiveness of mobile and embedded devices (IoT/Edge), combined with the access to Cloud infrastructures, makes it possible to build scalable distributed systems, characterized by a multi-dimensional architecture. The overall picture is a massive collection of computing devices, characterized by very heterogeneous levels of performance and power consumption, which we could exploit to reduce the need to access Cloud computing resources. This would play a key role, especially for emerging use cases, where huge amount of data are generated. However, the deployment of distributed applications on such an heterogeneous infrastructures requires suitable management layers. This position paper aims at: (a) proposing a fully-distributed, cooperative, dynamic and multi-layered architecture, capable of integrating different computing paradigms; (b) identifying a possible solution to manage workloads at run-time in a resources continuity perspective, through an analysis of the open research challenges.File | Dimensione | Formato | |
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