A hybrid heuristic-based tuned support vector regression model for cloud load prediction

Emphasis on Cloud Optimization and Security Gaps: A Literature Review

“…Han et al [4] and A. K o n a k, S. K o n a k and S n y d e r [5] worked on finding a solution to the coresident attacks in cloud computing. B a r a t i and S h a r i f i a n [7] worked on increasing the accuracy of cloud load prediction. K a r a m i and Z a p a t a [9], B a m a k a n et al [11], K o n a k et al [5] and L u a and Y o w [36] mitigated the Denial of service attacks and enhanced the accuracy of attacks detection.…”

“… -A l k h a n a k et al [25]  -W a n g et al [38]  -B i t t e n c o u r t and M a d e i r a [31]  -W u et al [10]  -H a n et al [4]  -A. K o n a k, S. K o n a k and S n y d e r [5]  -B a r a t i and S h a r i f i a n [7] Cloud load prediction K a r a m a g i and Z a p a t a [9]  -B a m a k a n et al  -F a n g et al [39]  -Huu et al [34]  -K o e h l e r [14]  -J i a n g et al [16]  -F o l i n o and P i s a n i [18]  -S i n g h, J u n e j a and M a l h o t r a [19]  -M a m u n et al [23] Speech-signal processing A r a n g o a et al [24] Decision-making system…”

“…For designing the chemical reaction operation, various optimization processes has been used in [3]. Cloud load prediction optimization has been done in [7]. The mitigation of DOS attacks in Named data networking has been optimized for better performance in [9].…”

“…Makespan has been used as the performance parameter for cloud optimization in most of the works, and it was about 31% of the 29 cloud optimization papers. Other metrics X u et al [3]   -A. K o n a k, S. K o n a k and S n y d e r [5] Critical service rate A h m a d et al [6]  Average Schedule Length B a r a ti and S h a r i f i a n [7]  Prediction error, memory usage K a r a m i and K a p a t a [9]  Interest satisfaction ratio, PIT usage, B a m a k a n et al [11] Accuracy, False Alarm Rate S i n g h, J u n e j a and M a l h o t r a [12]  Cost of Resources Shu, W. W a n g and Y. W a n g [13]    -…”

“…A. K o n a k, S. K o n a k and S n y d e r [5] developed the Game-Theoretic Genetic Algorithm and compared its performance with the nested genetic algorithms for maximizing the network reliability and simultaneously reducing the reliable server assignment problem. B h a r a t h i and S h a r i f i a n [7] used hybrid genetic algorithm and PSO to develop a newly tuned support vector regression method for cloud computing elasticity. K a r a m i and S a p a t a [9] detected the denial of service attacks and adaptive mitigation reaction in Named data networking by using a multiobjective evolutionary optimization algorithm with PSO.…”