Service control method and service control apparatus

Patent metadata

Field	Value
Publication number	US-10776176-B2
Application number	US-201816054605-A
Country	US
Kind code	B2
Filing date	Aug 3, 2018
Priority date	Feb 5, 2016
Publication date	Sep 15, 2020
Grant date	Sep 15, 2020

Abstract

A service control method and a service control apparatus, where the method includes obtaining, a current electricity grid electricity price and a quantity of to-be-executed services, determining an electricity price threshold according to the quantity of the to-be-executed services, decreasing, by the service control apparatus, a quantity of services that are about to be executed by a first quantity when the current electricity grid electricity price is greater than the electricity price threshold, and executing a service according to a reduced quantity of services that are about to be executed, or increasing, by the service control apparatus, a quantity of services that are about to be executed by a second quantity, and executing a service according to an increased quantity of services that are about to be executed when the current electricity grid electricity price is less than the electricity price threshold.

First claim

What is claimed is:

1. A service control method, comprising:
obtaining, by a service control apparatus, a current electricity grid electricity price through an internet and a quantity of to-be-executed services (Q(v)) in a data center;
setting, by the service control apparatus, an electricity price threshold (P th ) in the data center according to the Q(v), wherein the Q(v) is positively correlated with the P th ;
decreasing, by the service control apparatus, a quantity of services about to be executed in the data center by a first quantity when the current electricity grid electricity price is greater than the P th ;
increasing, by the service control apparatus, the quantity of services about to be executed in the data center by a second quantity when the current electricity grid electricity price is less than the P th ;
executing, by the service control apparatus, a service in the data center according to a reduced or increased quantity of services about to be executed, such that an electrical load of the data center is adjusted based on the current electricity grid electricity price and the Q(v);
calculating, by the service control apparatus, a first difference between the current electricity grid electricity price and the P th when the current electricity grid electricity price is greater than the P th ;
calculating, by the service control apparatus, the first quantity according to the first difference when the first difference is calculated;
calculating, by the service control apparatus, a second difference between the current electricity grid electricity price and the P th when the current electricity grid electricity price is less than the P th ; and
calculating, by the service control apparatus, the second quantity according to the second difference when the second difference is calculated.

2. The service control method of claim 1 , wherein determining the P t , comprises:
obtaining, by the service control apparatus, a target relationship factor ({circumflex over (v)}); and
setting, by the service control apparatus, a product of the {circumflex over (v)} and the Q(v) as the P th .

3. The service control method of claim 2 , wherein obtaining the comprises:
obtaining, by the service control apparatus, a first relationship parameter and a second relationship parameter, wherein the first relationship parameter comprises a parameter of a relationship between an electricity expenses reducing rate (C(v)) and a relationship factor (v), the second relationship parameter comprises a parameter of a relationship between the Q(v) and the v, wherein the C(v) is positively correlated with the v, and wherein the Q(v) is positively correlated with the v;
performing, by the service control apparatus, calculation according to the first relationship parameter and the second relationship parameter; and
setting a v obtained when an equilibrium value (M(v)) is maximum as the {circumflex over (v)}, wherein the M(v) is positively correlated with the C(v) and inversely correlated with the Q(v).

4. The service control method of claim 3 , wherein performing the calculation and setting the v obtained when the M(v) is maximum as the {circumflex over (v)} comprises:
determining, by the service control apparatus, the {circumflex over (v)} in the following manner:

v
^

=

arg
⁢

⁢
max

v
∈
V

⁢

{

M
⁡

(
v
)

}

;
and

M
⁡

(
v
)

=

α
*

C
⁡

(
v
)

β
*

Q
⁡

(
v
)

,

wherein the V comprises a value range of the v, wherein the α comprises a first coefficient representing a weight of the C(v), and wherein the β comprises a second coefficient representing a weight of the Q(v).

5. The service control method of claim 1 , wherein determining the P th comprises:
obtaining, by the service control apparatus, a sample data set (ϕ=(P th , Q)) of the P th and the Q(v) by a pretest in the ϕ, wherein the P th comprises a dependent variable (p th ), and the Q(v) comprising an independent variable (q); and
calculating, by the service control apparatus, the P th according to the ϕ.

6. The service control method of claim 5 , wherein calculating the P th comprises:
determining, by the service control apparatus, the P th in the following manner:

p
^

th

=

a
+
bq

;

φ
=

min
⁢

∑
ϕ

⁢

⁢

(

p

th
,
i

-

p
^

th
,
i

)

2

;

Assignees

• Huawei Tech Co Ltd

Inventors

• Zeng Xiaosheng
• Xin Kai
• Dong Xiaowen

Classifications

• H02J2105/55

  according to an economic condition, e.g. tariff-based load management · CPC title

• G06F9/5094 Primary

  where the allocation takes into account power or heat criteria (power management in computers in general G06F1/3203; thermal management in computers in general G06F1/206) · CPC title

• G06Q30/0206 Primary

  Price or cost determination based on market factors · CPC title

• Y02D10/00

  Energy efficient computing, e.g. low power processors, power management or thermal management · CPC title

• Y04S20/222

  Demand response systems, e.g. load shedding, peak shaving · CPC title