In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand way.Failures can happen in CC environment and the cloud resources are adaptable tofluctuations in the performance...In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand way.Failures can happen in CC environment and the cloud resources are adaptable tofluctuations in the performance delivery.Task execution failure becomes common in the CC environment.Therefore,fault-tolerant scheduling techniques in CC environment are essential for handling performance differences,resourcefluxes,and failures.Recently,several intelli-gent scheduling approaches have been developed for scheduling tasks in CC with no consideration of fault tolerant characteristics.With this motivation,this study focuses on the design of Gorilla Troops Optimizer Based Fault Tolerant Aware Scheduling Scheme(GTO-FTASS)in CC environment.The proposed GTO-FTASS model aims to schedule the tasks and allocate resources by considering fault tolerance into account.The GTO-FTASS algorithm is based on the social intelligence nature of gorilla troops.Besides,the GTO-FTASS model derives afitness function involving two parameters such as expected time of completion(ETC)and failure probability of executing a task.In addition,the presented fault detector can trace the failed tasks or VMs and then schedule heal submodule in sequence with a remedial or retrieval scheduling model.The experimental vali-dation of the GTO-FTASS model has been performed and the results are inspected under several aspects.Extensive comparative analysis reported the better outcomes of the GTO-FTASS model over the recent approaches.展开更多
Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and ...Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.展开更多
When talking about Napoleon,people always focus on his military talent,his empire,his famous code or even his final defeat—Battle of Waterloo.Few people will remember his quest for Egypt and his mysterious‘troop’.T...When talking about Napoleon,people always focus on his military talent,his empire,his famous code or even his final defeat—Battle of Waterloo.Few people will remember his quest for Egypt and his mysterious‘troop’.This thesis will discuss the forgotten troop of Napoleon and its influence on the development of Egypt and the world.展开更多
Although troop fission is a rare event, it does occur in provisioned or wild troops. Such fission, from the ecological viewpeint, results from the population growth which exceeds the carrying capacity of its ranging a...Although troop fission is a rare event, it does occur in provisioned or wild troops. Such fission, from the ecological viewpeint, results from the population growth which exceeds the carrying capacity of its ranging area, and, from the sociological viewpoint, from the loose social relations among troop members.展开更多
Flight safety is foundation of supporting flight training and combat of aviation troops. PLAAF is equipped with a large amount of Russian-made aircraft,so a comprehensive analysis and study of the flight safety of Rus...Flight safety is foundation of supporting flight training and combat of aviation troops. PLAAF is equipped with a large amount of Russian-made aircraft,so a comprehensive analysis and study of the flight safety of Russian aviation troops is of great significance to our flight safety. This paper analyzes the flight safety of Russian aviation troops and the main reasons and problems in recent years,the main measures and experiences of the flight safety of Russian military are summarized,and the work plan of Russian aviation troops in the future are introduced.展开更多
文摘In cloud computing(CC),resources are allocated and offered to the cli-ents transparently in an on-demand way.Failures can happen in CC environment and the cloud resources are adaptable tofluctuations in the performance delivery.Task execution failure becomes common in the CC environment.Therefore,fault-tolerant scheduling techniques in CC environment are essential for handling performance differences,resourcefluxes,and failures.Recently,several intelli-gent scheduling approaches have been developed for scheduling tasks in CC with no consideration of fault tolerant characteristics.With this motivation,this study focuses on the design of Gorilla Troops Optimizer Based Fault Tolerant Aware Scheduling Scheme(GTO-FTASS)in CC environment.The proposed GTO-FTASS model aims to schedule the tasks and allocate resources by considering fault tolerance into account.The GTO-FTASS algorithm is based on the social intelligence nature of gorilla troops.Besides,the GTO-FTASS model derives afitness function involving two parameters such as expected time of completion(ETC)and failure probability of executing a task.In addition,the presented fault detector can trace the failed tasks or VMs and then schedule heal submodule in sequence with a remedial or retrieval scheduling model.The experimental vali-dation of the GTO-FTASS model has been performed and the results are inspected under several aspects.Extensive comparative analysis reported the better outcomes of the GTO-FTASS model over the recent approaches.
基金This work is financially supported by the Fundamental Research Funds for the Central Universities under Grant 2572014BB06.
文摘Gorilla troops optimizer(GTO)is a newly developed meta-heuristic algorithm,which is inspired by the collective lifestyle and social intelligence of gorillas.Similar to othermetaheuristics,the convergence accuracy and stability of GTOwill deterioratewhen the optimization problems to be solved becomemore complex and flexible.To overcome these defects and achieve better performance,this paper proposes an improved gorilla troops optimizer(IGTO).First,Circle chaotic mapping is introduced to initialize the positions of gorillas,which facilitates the population diversity and establishes a good foundation for global search.Then,in order to avoid getting trapped in the local optimum,the lens opposition-based learning mechanism is adopted to expand the search ranges.Besides,a novel local search-based algorithm,namely adaptiveβ-hill climbing,is amalgamated with GTO to increase the final solution precision.Attributed to three improvements,the exploration and exploitation capabilities of the basic GTOare greatly enhanced.The performance of the proposed algorithm is comprehensively evaluated and analyzed on 19 classical benchmark functions.The numerical and statistical results demonstrate that IGTO can provide better solution quality,local optimumavoidance,and robustness compared with the basic GTOand five other wellknown algorithms.Moreover,the applicability of IGTOis further proved through resolving four engineering design problems and training multilayer perceptron.The experimental results suggest that IGTO exhibits remarkable competitive performance and promising prospects in real-world tasks.
文摘When talking about Napoleon,people always focus on his military talent,his empire,his famous code or even his final defeat—Battle of Waterloo.Few people will remember his quest for Egypt and his mysterious‘troop’.This thesis will discuss the forgotten troop of Napoleon and its influence on the development of Egypt and the world.
基金Project supported by the National Natural Science Foundation of China.
文摘Although troop fission is a rare event, it does occur in provisioned or wild troops. Such fission, from the ecological viewpeint, results from the population growth which exceeds the carrying capacity of its ranging area, and, from the sociological viewpoint, from the loose social relations among troop members.
文摘Flight safety is foundation of supporting flight training and combat of aviation troops. PLAAF is equipped with a large amount of Russian-made aircraft,so a comprehensive analysis and study of the flight safety of Russian aviation troops is of great significance to our flight safety. This paper analyzes the flight safety of Russian aviation troops and the main reasons and problems in recent years,the main measures and experiences of the flight safety of Russian military are summarized,and the work plan of Russian aviation troops in the future are introduced.
