Dynamic right-sizing for power-proportional data centers
... Then, define xU τ = xτ,τ . Notice that in each case, the optimization problem includes only times 1 ≤ t ≤ τ , and so ignores the arrival information for t > τ . In the case of the lower bound, β cost is incurred for each server toggled on, while in the upper bound, β cost is incurred for each server ...
... Then, define xU τ = xτ,τ . Notice that in each case, the optimization problem includes only times 1 ≤ t ≤ τ , and so ignores the arrival information for t > τ . In the case of the lower bound, β cost is incurred for each server toggled on, while in the upper bound, β cost is incurred for each server ...
Dynamic Programming
... – Each line has n stations: S1,1, . . . , S1,n and S2,1, . . . , S2,n – Corresponding stations S1, j and S2, j perform the same function but can take different amounts of time a1, j and a2, j – Entry times are: e1 and e2; exit times are: x1 and x2 ...
... – Each line has n stations: S1,1, . . . , S1,n and S2,1, . . . , S2,n – Corresponding stations S1, j and S2, j perform the same function but can take different amounts of time a1, j and a2, j – Entry times are: e1 and e2; exit times are: x1 and x2 ...
MOD p LOGARITHMS log2 3 AND log3 2 DIFFER FOR
... REMARK 4. Problem 3 is solved in the case when A is an elliptic curve and y = z = 0 [CR-S] p. 277, theorem 2. Actually the authors in [CR-S] deal with elliptic curves over any number field F. We have decided to for mulate problem 3 for abelian schemes over Q, however the reader can easily formulate ...
... REMARK 4. Problem 3 is solved in the case when A is an elliptic curve and y = z = 0 [CR-S] p. 277, theorem 2. Actually the authors in [CR-S] deal with elliptic curves over any number field F. We have decided to for mulate problem 3 for abelian schemes over Q, however the reader can easily formulate ...
High order schemes based on operator splitting and - HAL
... In this work, the high order quadrature formulas over a time step ∆t, corresponding to an s– stage implicit Runge–Kutta scheme, are evaluated using the numerical approximations computed by a splitting solver at the s intermediate collocation nodes. Such a dedicated splitting solver for stiff PDEs ca ...
... In this work, the high order quadrature formulas over a time step ∆t, corresponding to an s– stage implicit Runge–Kutta scheme, are evaluated using the numerical approximations computed by a splitting solver at the s intermediate collocation nodes. Such a dedicated splitting solver for stiff PDEs ca ...
Pareto Optimal Solutions Visualization Techniques for Multiobjective
... algorithm found three candidate solutions (Table 1). Notice that the optimal solution from the 2D POS for precision does not provide any residual precision or error detectability capabilities. Precision is always a very important factor in the design of sensor networks. The candidate solution from t ...
... algorithm found three candidate solutions (Table 1). Notice that the optimal solution from the 2D POS for precision does not provide any residual precision or error detectability capabilities. Precision is always a very important factor in the design of sensor networks. The candidate solution from t ...
