On Execution Platforms for Large-Scale Aggregate Computing

被引：21

作者：

Viroli, Mirko ^{[1
]}

Casadei, Roberto ^{[1
]}

Pianini, Danilo ^{[1
]}

机构：

[1] Univ Bologna, Via Sacchi 3, I-47521 Cesena, Italy

来源：

UBICOMP'16 ADJUNCT: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING | 2016年

关键词：

Aggregate computing; Large-scale systems; Internet of Things; Execution platforms; Cloud computing;

D O I：

10.1145/2968219.2979129

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Aggregate computing is proposed as a computational model and associated toolchain to engineer adaptive large-scale situated systems, including IoT and wearable computing systems. Though originated in the context of WSN-like (peer-to-peer and fully distributed) systems, we argue it is a model that can transparently fit a variety of execution platforms (decentralised, server-mediated, cloud/fog-oriented), due to its ability of declaratively designing systems by global-level abstractions: it opens the possibility of intrinsically supporting forms of load balancing, elasticity and toleration of medium- and long-term changes of computational infrastructures. To ground the discussion, we present ongoing work in the context of scafi, a language and platform support for computational fields based on the Scala programming language and Akka actor framework.

引用

页码：1321 / 1326

页数：6

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