Effective Resource Allocation in Fog for Efficient Energy Distribution

Autor: Syed Muhammad Saleh Arfi, Abdullah Sadam, Nadeem Javaid, Muhammad Yousaf, Abdul Wasi Zia, Muhammad Usman Sharif
Rok vydání: 2018
Předmět:
Zdroj: Advances in Network-Based Information Systems ISBN: 9783319985299
NBiS
DOI: 10.1007/978-3-319-98530-5_21
Popis: Fog computing is used to distribute the workload from cloud, decrease Network Latency (NL) and Service Response Time (SRT). Cloud have the capability to respond to too many requests from consumer side, however, the physical distance between a consumer and cloud is far than the consumer and fog. Fog is limited to a specific location, moreover, fog is meant to deal requests locally and helps out in processing the Consumer’s Requests (CRs) and provide efficient response. A fog holds the consumer’s data temporarily, processes it and provides response then sends it to cloud for permanent storage. Apart from this, it also sends the consumer’s data when Micro Grids (MGs) are not able to fulfill the consumer’s energy demand. Cloud communicates with Macro Grid. Fog and cloud computing concepts are integrated to create an environment for effective energy management of a building in a residential cluster. Fog deals with requests at the consumer’s end, because it is nearer to the consumer than a cloud. The theme of this paper is efficient allocation of Virtual Machines (VMs) in a fog, therefore, Insertion Sort Based Load Balancing Algorithm (ISBLBA) is used for this purpose. Simulations have been conducted, comparing ISBLBA to Round Robin (RR) technique and results regarding fog performance, cluster performance and cost are elucidated in the Sect. 5.
Databáze: OpenAIRE