Mobile devices are in general resource-constrained,having limited computation resource and battery *** is a significant challenge to resolve the contradiction between resource-hungry applications and resource-constrai...
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ISBN:
(纸本)9781509012473
Mobile devices are in general resource-constrained,having limited computation resource and battery *** is a significant challenge to resolve the contradiction between resource-hungry applications and resource-constrained mobile *** a promising approach to address such a challenge,computation offloading enables mobile users to offload computation to nearby resource-rich cloud infrastructure to reduce energy consumption and improve *** this paper,we formulate the computation offloading decision making problem as a MEC server selection problem,considering how to find one proper MEC server for one user that carrying computation *** propose a joint computation and communication resource allocation *** this model,we consider both transmitting energy consumption and communication delay as communication cost in a multi-user and multi-MEC server *** use two algorithms to solve the proposed *** is hungarianalgorithm based MEC server selection algorithm,but it ignores the fairness of the *** is Fairness based MEC server selection algorithm,which incorporate the fairness of the ***,we show the numerical simulation result.
The process of allocating fragments into the appropriate sites is a crucial step in the design of Peerto- Peer Distributed Databases. Accessibility of data influences the Quality of Service for requests. This paper pr...
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ISBN:
(纸本)9781634396226
The process of allocating fragments into the appropriate sites is a crucial step in the design of Peerto- Peer Distributed Databases. Accessibility of data influences the Quality of Service for requests. This paper proposes a methodology for fragment reallocation by using hungarian assignment algorithm of optimization principle. The objective of the work is to reduce the number of un-successful queries that are forwarded to other sites of the network. The results show that re-allocation of fragments to suitable sites cause significant part in the communication cost while transaction.
Availability of data in Distributed databases improves the QoS factors like, fault tolerance and response time. An efficient Replication management results in high degree of availability. The Replication of data among...
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ISBN:
(纸本)9781467313421
Availability of data in Distributed databases improves the QoS factors like, fault tolerance and response time. An efficient Replication management results in high degree of availability. The Replication of data among sites increases the success possibilities during the recovery. Replication is one part of the well known issue called Data Allocation Problem along with Allocation in the design phase of Distributed Databases. The Allocation improves accessibility of data. The Data Allocation Problem is a NP-Hard in its nature. Hence it requires an optimized solution for improved results. As a result of the current trends in research towards a better Allocation and Replication strategy with the usage of Optimization techniques, this paper proposes a methodology for replication of fragments in Peer-to-Peer environment with hungarian assignment algorithm of optimization technique. The simulation results suggest that the population of successful queries is increased better than the initial and reallocation of fragments across the sites.
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