{"id":42,"date":"2016-04-15T11:38:30","date_gmt":"2016-04-15T10:38:30","guid":{"rendered":"http:\/\/www.i3a.uclm.es\/raap\/?page_id=42"},"modified":"2024-02-21T14:09:55","modified_gmt":"2024-02-21T13:09:55","slug":"efficient-management-of-resources-in-cloud-computing-environments","status":"publish","type":"page","link":"https:\/\/www.i3a.uclm.es\/raap\/?page_id=42","title":{"rendered":"Efficient management of resources in Cloud\/Fog computing environments"},"content":{"rendered":"

The explosion of end user devices connected to the Internet experienced in the last few years has motivated the necessity to move computing and storage closer to them. This fact has led to coining the paradigm of fog computing. Fog computing, and the likes such as edge or mist computing, allows for bandwidth savings and reducing latencies to\/from the cloud, and can be used as an extension of the cloud for a wide range of latency-sensitive applications. Thus, fog computing can be described as an intermediate layer between end user devices and the cloud.<\/p>\n

There are different strategies to implement this layer, from integrating computing capabilities within network equipment to establish micro-datacenters close to the things, or to harness low-cost devices such as Single-Board Computers (SBC) (e.g. Raspberry Pi). In any case, there is usually limited storage and computing capabilities, especially when compared to the virtually infinite resource availability of cloud platforms. Also, different applications with different requirements will coexist. Each of these applications should be isolated from the others for security reasons but also to provide them with their required Quality of Service (QoS). Light virtualization technologies such as containers can be harnessed to this end. As a result, orchestration to track and manage the life cycle of containers becomes a key element within the fog layer. Previous work of the people involved in this research topic on resource management in Grids and Cloud environments has evolved into the current research efforts in fog environments. Strategies such as reservation in advance, predictions and estimations on system performance are harnessed to achieve the pursued goals.\u00a0 Moreover, the research team addresses the management of decentralized fog systems based on the use of blockchain technology to make the system more resilient to failures and attacks.<\/p>\n

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