Energy Efficient Load Balancing Strategy for Mobile Cloud Computing

Abstract

Mobile Cloud Computing combines cloud computing and mobile computing. It has turned into one of the business trendy expressions and a real exchange string in the IT world. As MCC is still at the early phase of advancement, it is important to handle a careful understanding of the innovation to call attention to the bearing of future research. In this paper, a new algorithm is proposed load balancing for mobile clouds has been presented. The results has shown that the load balancing during job placement plays a critical role in energy consumption of cloud computing environment. The comparisons has clearly shown that the proposed technique outperforms over available techniques.

The Environmental Impact of Mining on Local Communities in Tankoro Chiefdom, Kono District, Sierra Leone

“…The relocation of displaced communities is typically in areas without sufficient resources and areas close to mining operations occupied with pollution and uncleanness. Involuntary resettlement can be mainly devastating for local communities who have sturdy cultural and spiritual relations to the lands and forest of their ancestors and who might find it problematic to survive when these are broken in Jharia Coalfields dislocation is still a grave issue for their suitable recuperation as discovered in their study (Singh et al 2015). Carvalho (2017) observed one important aspect in all mining projects, which is the risk assessment of mine operations bordering human settlements.…”

Energy‐efficient sender‐initiated threshold‐based load balancing (e‐STLB) in cloud computing environment

“…Dynamic Threshold-Based Load Balancing (DTBLB) is a threshold-based technique proposed in the literature that uses dynamic thresholds to migrate tasks. 31 This strategy employs a feedback loop to modify the thresholds based on the current server load. In order to create a balance between energy savings and performance, the threshold values are dynamically modified based on past server utilization.…”

“…Dynamic Threshold‐Based Load Balancing (DTBLB) is a threshold‐based technique proposed in the literature that uses dynamic thresholds to migrate tasks 31 . This strategy employs a feedback loop to modify the thresholds based on the current server load.…”

Critical Analysis and the Impact of Big Data within the Organisation

“…For instance, different type of data gets presented in the banking and financial institutes and this type of data are very sensitive and important due to its privacy. Therefore, this data needs better management and Hadoop is perceived to be capable of managing this data (Singh, & Singla, 2015).…”

“…In their studies, Katal et al (2013) mentioned that, Hadoop mainly consists of: x File System (The Hadoop File System) x Programming Paradigm (Map Reduce) and the other subprojects provide complementary services, or they are building on the core to add higher-level abstractions. Singh and Singla (2015) argued further indicating that HBase helps to store large amount of data in a very efficient way because it is a non-relational column oriented database and it is built at the top of Hadoop.…”