CN102281290B - Emulation system and method for a PaaS (Platform-as-a-service) cloud platform - Google Patents
Emulation system and method for a PaaS (Platform-as-a-service) cloud platform Download PDFInfo
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Abstract
The invention discloses an emulation system for a PaaS (Platform-as-a-service) cloud platform. A static model comprises a node model, a topology model, a link model, an application model and a user model, wherein the node model is used for determining computing resources, communication resources and application deployment conditions; the topology module is used for determining role definition of each node and topology connecting conditions; the link model is used for determining communication link attribute of the node; the application model is used for determining computing resource spending, communication resource spending and time delay for application logic and application processing; the user model is used for determining user requirement distribution and user requirement achieving conditions; the dynamic model comprises a control model, a protocol model and an event model, wherein the control model is used for determining operation logic and layout relationship of application and node as well as selecting a mode of processing nodes for business request after reaching the business request; the protocol model is used for determining an interacting framework of the PaaS cloud platform; and the event model is used for determining dynamic events with uncertainty generated in a PaaS cloud platform operating process. The invention discloses an emulation method based on the system. According to the emulation system for the PaaS cloud platform and the emulation method for the PaaS cloud platform disclosed by the invention, emulation load conditions of the node in the PaaS cloud platform can be determined.
Description
Technical field
The emulation technology that the present invention relates to the PaaS cloud platform building based on cloud computing technology, the simulation model and the Performance Evaluating Indexes that relate in particular to PaaS cloud platform are determined method.
Background technology
Along with a large amount of industrial applications of the day by day universal and cloud computing of cloud computing technology, cloud computing is more and more approved by industry in the advantage of the aspect such as high availability, the extensibility of disposal ability that realizes service.Cloud computing technology is combined with the open PaaS cloud of business platform, not only can expand flexible basic PaaS cloud platform with having more for business PaaS cloud platform provides more, can also organize being distributed in various places hardware resource everywhere, greatly improve the utilance of hardware resource, promote increasing income and economizing on spending of service operation.In three kinds of application forms of cloud computing, PaaS form is the optimised form that cloud computing technology combines with the open PaaS cloud of business platform.PaaS refers to a complete computer PaaS cloud platform, comprises application design, application and development, application testing and AH, and all as one, service offers client.At present, on the Internet, there is a large amount of PaaS cloud examples of platforms, as GAE (Google App Engine), SAE (Sina App Engine) etc.
But, build PaaS cloud platform based on cloud computing technology and also can introduce a series of uncertain factor.For example, in the time that need to being deployed in PaaS cloud platform, new application need to select suitable service node to process the request of respective application, but when service node quantity and number of applications are all very large, which kind of service node selection algorithm is the most efficient, and resource utilization is the highest will be the content that needs further investigation.Along with PaaS cloud platform is promoted on a large scale and uses, how effectively the running of whole PaaS cloud platform to be carried out to emulation, the quality of probing into various scheduling of resource and allocation algorithm becomes the problem of needing solution badly.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of analogue system and method for PaaS cloud platform, can realize the emulation to PaaS cloud platform, and can assess the performance of PaaS cloud platform according to serial evaluation index, for the deployment of PaaS cloud platform provides reference frame.
For arriving above-mentioned purpose, technical scheme of the present invention is achieved in that
A kind of PaaS cloud platform emulation system, this system comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method, for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model, for determining the Partition of role of each node and connecting topology situation;
Link model, for determining the communication link attribute between node;
Application model, for determining applied logic, the computational resource expense in each stage that application is processed, the communication resource expense in each stage that application is processed, and, the time delay that application is processed;
User model, for determining that user asks to distribute, user asks arrival situation;
Described dynamic model comprises:
Control model, for determining the operation logic of PaaS cloud platform, determine the deployment relation of application and node, determine that service request arrives the mode for this service request selection processing node after PaaS cloud platform;
Protocol model, for determining the interactive frame of PaaS cloud platform;
Event model, for determine PaaS cloud platform occur at running with probabilistic dynamic event.
Preferably, described control model is determined the deployment relation of application and node, for
Described control model determines that new business disposes to the rule of PaaS cloud platform; In the time that traffic carrying capacity reduces, determine the rule that reduces application copy amount; In the time that traffic carrying capacity increases, determine the rule that increases application copy amount; And, in the time that node exits, the processing rule of PaaS cloud platform.
Preferably, the interactive frame of described PaaS cloud platform specifically comprises the each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
Preferably, the described probability distribution that comprises event type, event generation with probabilistic dynamic event.
Preferably, described system also comprises:
Acquiring unit, for obtaining load factor and the load variance of analogue system running of described PaaS cloud platform; Wherein, described load factor is that, during the whole service of PaaS cloud platform, load exceedes the number of nodes of setting threshold and the average of the ratio of total number of nodes;
Described load variance is that load exceedes the variance of proportion of number of nodes with total number of nodes of setting threshold.
An emulation mode for analogue system based on PaaS cloud platform, the analogue system of described PaaS cloud platform comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method, for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model, for determining the Partition of role of each node and connecting topology situation;
Link model, for determining the communication link attribute between node;
Application model, for determining applied logic, the computational resource expense in each stage that application is processed, the communication resource expense in each stage that application is processed, and, the time delay that application is processed;
User model, for determining that user asks to distribute, user asks arrival situation;
Described dynamic model comprises:
Control model, for determining the operation logic of PaaS cloud platform, determine the deployment relation of application and node, determine that service request arrives the mode for this service request selection processing node after PaaS cloud platform;
Protocol model, for determining the interactive frame of PaaS cloud platform;
Event model, for determine PaaS cloud platform occur at running with probabilistic dynamic event;
Move the analogue system of described PaaS cloud platform, obtain load factor and load variance in the analogue system running of described PaaS cloud platform; Wherein, described load factor is that, during the whole service of PaaS cloud platform, load exceedes the number of nodes of setting threshold and the average of the ratio of total number of nodes; Described load variance is that load exceedes the variance of proportion of number of nodes with total number of nodes of setting threshold.
Preferably, described control model is determined the deployment relation of application and node, for
Determine that by described control model new business disposes to the rule of PaaS cloud platform; In the time that traffic carrying capacity reduces, determine the rule that reduces application copy amount; In the time that traffic carrying capacity increases, determine the rule that increases application copy amount; And, in the time that node exits, the processing rule of PaaS cloud platform.
Preferably, the interactive frame of described PaaS cloud platform specifically comprises the each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
Preferably, the described probability distribution that comprises event type, event generation with probabilistic dynamic event.
The present invention is by PaaS cloud platform is carried out to emulation, and moves the analogue system of PaaS cloud platform, thereby determines load factor and the load variance of the analogue system of PaaS cloud platform.Like this, load factor and the load variance of the analogue system by PaaS cloud platform, can roughly simulate load factor and the load variance of actual PaaS cloud platform, when actual node is disposed, can dispose targetedly, be unlikely the treatment effeciency that causes the heavier node whole PaaS cloud platform because processing speed affects of PaaS cloud platform load.
Accompanying drawing explanation
Fig. 1 is the composition structural representation of the analogue system of the PaaS cloud platform of the embodiment of the present invention;
Fig. 2 is the flow chart of the emulation mode of the PaaS cloud platform of the embodiment of the present invention.
Embodiment
For making the object, technical solutions and advantages of the present invention clearer, by the following examples and with reference to accompanying drawing, the present invention is described in further detail.
Fig. 1 is the composition structural representation of the analogue system of the PaaS cloud platform of the embodiment of the present invention, and as shown in Figure 1, the analogue system of the PaaS cloud platform of the embodiment of the present invention is divided into two large divisions, is respectively static models and dynamic model.
Wherein, static models Further Division is five submodels, is respectively: nodal analysis method, topological model, link model, application model and user model.
Nodal analysis method, for the situation of each node of definite PaaS cloud platform, comprises following content:
The computational resource situation of each node: cpu resource total amount and surplus, memory source total amount and surplus, and, hard disk total resources and surplus.
The communication resource situation of each node: communication bandwidth total resources and surplus, linking number total resources and surplus.
Application deployment situation in each node, the i.e. list of application of node deploy.
Topological model, for determining the level distribution situation of PaaS cloud platform node, comprises following content:
The Partition of role of each node, as application cluster management, intelligent use route or application server cluster.
The connection topology situation of each node.
Link model, for determining the communication link attribute between PaaS cloud platform node, comprises following content: link delay situation, and, link bandwidth situation.
The situation of each application that application model is disposed for definite PaaS cloud platform, comprise following content: applied logic (as Request-Response pattern, conversation modes etc.), the computational resource expense (CPU, internal memory, hard disk) in each stage that application is processed, the communication resource expense (communication bandwidth, linking number) in each stage that application is processed, the time delay that application is processed, and, the user model of application.
User model is for determining the user situation of application-specific, comprise following content: user asks distribution (according to the one day 24 hours different user's request amount of configuration), user asks arrival situation, the distribution situation of user's request that (as 1 hour) arrives in specific time period.
Dynamic model is divided into three submodels, is respectively: control model, protocol model and event model.
Control model for determining the operation logic of PaaS cloud platform, comprise following content: resource scheduling algorithm definition application, to the deployment relation of node, relates to following algorithm:
New business is disposed to the rule of PaaS cloud platform;
When traffic carrying capacity reduces, reduce the rule of application copy amount;
When traffic carrying capacity increases, increase the rule of application copy amount;
When node exits, the processing rule of PaaS cloud platform; And
Service request of task scheduling algorithm definition arrives the application processing rule of PaaS cloud platform after PaaS cloud platform, and service request is selected the rule of processing node for this reason.It should be noted that, above-mentioned various rules, can be different for different PaaS cloud platforms, and still, after PaaS cloud platform is determined, above-mentioned processing rule is stable and confirmable in the period of a fixed length.Above-mentioned rule is configured in PaaS cloud platform by attendant.
Protocol model is for determining the interactive frame of PaaS cloud platform, i.e. custom protocol message, comprises following content: the each Field Definition of agreement, and protocol message bag size, and, the interaction flow of protocol message.It will be appreciated by those skilled in the art that the general communication protocol framework that interactive frame is supported in accordance with PaaS cloud platform.It will be appreciated by those skilled in the art that according to existing wired or wireless communication agreement, the information interaction realizing between each node is easily to realize.
Event model for determine PaaS cloud platform occur at running with probabilistic dynamic event, comprise following content:
Event type (as node exit, apply add etc.);
The probability distribution (according to the one day 24 hours different event generating capacities of configuration) that event occurs.
Acquiring unit (not shown), for obtaining load factor and the load variance of analogue system running of described PaaS cloud platform; Wherein, described load factor is that, during the whole service of PaaS cloud platform, load exceedes the number of nodes of setting threshold and the average of the ratio of total number of nodes;
Described load variance is that load exceedes the variance of proportion of number of nodes with total number of nodes of setting threshold.
Move above-mentioned PaaS cloud platform, obtain corresponding simulation result (as real-time cpu load data of each node etc.).The present invention is based on two evaluation indexes of these simulation results design, be respectively load factor and load variance, below these two grading indexs are elaborated:
Load factor (Lc) is specially: during the whole service of PaaS cloud platform, and the average of high capacity number of nodes and the ratio of total number of nodes, it has reflected the average load situation of PaaS cloud platform.Wherein, " high capacity " can select the different resource of node to define according to different demands, as CPU, internal memory, network traffics etc.Take the cpu resource of node as example, load factor can calculate in the following manner:
Suppose: node adds up to N; Data acquisition total degree is n, and in i data acquisition time interval, the quantity of the node of CPU usage > 70% is M
i,
Can find out by above formula, the span of load factor is 0～1.Load factor is larger, and the average load of PaaS cloud platform is higher.
Load variance (Lv) is specially: during the whole service of PaaS cloud platform, and the variance of proportion of high capacity number of nodes and total number of nodes, it has reflected the fluctuation of load situation of PaaS cloud platform.Wherein, " high capacity " can select the different resource of node to define according to different demands, as the situation that takies of CPU, internal memory, network traffics etc.Take the cpu resource of node as example, load variance can be calculated in the following manner:
Can find out by above formula, load variance is larger, and the fluctuation of load of PaaS cloud platform is larger.
For making the object, technical solutions and advantages of the present invention clearer, by the following examples and with reference to accompanying drawing, the present invention is described in more detail.
Fig. 2 is the flow chart of the emulation mode of the PaaS cloud platform of the embodiment of the present invention, and as shown in Figure 2, the emulation mode of the PaaS cloud platform of this embodiment of the present invention specifically comprises the following steps:
Step 201: determine node computational resource (CPU, internal memory, hard disk), the communication resource (communication bandwidth, linking number) of PaaS cloud platform of wanting emulation, instantiated nodes model, empties the list of application of node deploy.
Determine number of nodes, the node role of the PaaS cloud platform of wanting emulation and is connected topological, instantiation topological model, and in conjunction with the overall architecture of nodal analysis method structure PaaS cloud platform.
The communication link of determining the PaaS cloud platform of wanting emulation postpones and bandwidth, instantiation link model, and load link attribute in conjunction with the overall architecture having built.
Step 202: according to the application deployment situation of PaaS cloud platform of wanting emulation, comprising: resource overhead, application processing delay that applied logic, application are processed, instantiation application model.
Access situation according to the user of each application, comprising: user asks to distribute (as normal distribution, be uniformly distributed, Poisson distribution, ZipF distribute), user asks arrival situation, instantiation user model.
It should be noted that, the overall architecture of above-mentioned structure PaaS cloud platform, can realize by software mode.According to the node computational resource of above-mentioned PaaS cloud platform and the communication resource (link delay and bandwidth etc.) demand, quantity, role and the topological relation of node, construct the framework of satisfactory PaaS cloud platform.
Step 203: according to the operation logic of PaaS cloud platform of wanting emulation, comprising: resource scheduling algorithm, task scheduling algorithm, instantiation control model.
According to the communication protocol of PaaS cloud platform of wanting emulation, comprising: the each Field Definition of agreement, protocol message bag size, protocol message interaction flow, instantiation protocol model.
Likely occur in running according to the PaaS cloud platform of wanting emulation with probabilistic dynamic event, comprising: the probability distribution that event type and event occur, instantiation event model.
Above-mentioned steps has completed the instantiation of simulation model, has determined basic framework and the operation workflow of the PaaS cloud platform for the treatment of emulation.
Step 204: use emulation tool (as OMNeT++), complete simulation run according to above-mentioned simulation model, and recording simulation results data (as the real-time cpu load of node).
Step 205: based on above-mentioned simulation result, according to formula
with
calculate load factor and load variance.
Step 106: complete the Performance Evaluation to PaaS cloud platform according to load factor and load variance.
The above, be only preferred embodiment of the present invention, is not intended to limit protection scope of the present invention.
Claims (9)
1. platform serves a PaaS cloud platform emulation system, it is characterized in that, this system comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method, for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model, for determining the Partition of role of each node and connecting topology situation;
Link model, for determining the communication link attribute between node;
Application model, for determining applied logic, the computational resource expense in each stage that application is processed, the communication resource expense in each stage that application is processed, and, the time delay that application is processed;
User model, for determining that user asks to distribute, user asks arrival situation;
Described dynamic model comprises:
Control model, for determining the operation logic of PaaS cloud platform, determine the deployment relation of application and node, determine that service request arrives the mode for this service request selection processing node after PaaS cloud platform;
Protocol model, for determining the interactive frame of PaaS cloud platform;
Event model, for determine PaaS cloud platform occur at running with probabilistic dynamic event.
2. the analogue system of PaaS cloud platform according to claim 1, is characterized in that, described control model is determined the deployment relation of application and node, for
Described control model determines that new business disposes to the rule of PaaS cloud platform; In the time that traffic carrying capacity reduces, determine the rule that reduces application copy amount; In the time that traffic carrying capacity increases, determine the rule that increases application copy amount; And, in the time that node exits, the processing rule of PaaS cloud platform.
3. the analogue system of PaaS cloud platform according to claim 1, is characterized in that, the interactive frame of described PaaS cloud platform specifically comprises the each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
4. the analogue system of PaaS cloud platform according to claim 1, is characterized in that, the described probability distribution that comprises event type, event generation with probabilistic dynamic event.
5. according to the analogue system of the PaaS cloud platform described in claim 1 to 4 any one, it is characterized in that, described system also comprises:
Acquiring unit, for obtaining load factor and the load variance of analogue system running of described PaaS cloud platform; Wherein, described load factor is that, during the whole service of PaaS cloud platform, load exceedes the number of nodes of setting threshold and the average of the ratio of total number of nodes;
Described load variance is that load exceedes the variance of proportion of number of nodes with total number of nodes of setting threshold.
6. an emulation mode of serving the analogue system of PaaS cloud platform based on platform, is characterized in that, the analogue system of described PaaS cloud platform comprises static models and dynamic model; Wherein,
Described static models comprise:
Nodal analysis method, for determining computational resource situation, communication resource situation and the application deployment situation of each node;
Topological model, for determining the Partition of role of each node and connecting topology situation;
Link model, for determining the communication link attribute between node;
Application model, for determining applied logic, the computational resource expense in each stage that application is processed, the communication resource expense in each stage that application is processed, and, the time delay that application is processed;
User model, for determining that user asks to distribute, user asks arrival situation;
Described dynamic model comprises:
Control model, for determining the operation logic of PaaS cloud platform, determine the deployment relation of application and node, determine that service request arrives the mode for this service request selection processing node after PaaS cloud platform;
Protocol model, for determining the interactive frame of PaaS cloud platform;
Event model, for determine PaaS cloud platform occur at running with probabilistic dynamic event;
Move the analogue system of described PaaS cloud platform, obtain load factor and load variance in the analogue system running of described PaaS cloud platform; Wherein, described load factor is that, during the whole service of PaaS cloud platform, load exceedes the number of nodes of setting threshold and the average of the ratio of total number of nodes; Described load variance is that load exceedes the variance of proportion of number of nodes with total number of nodes of setting threshold.
7. method according to claim 6, is characterized in that, described control model is determined the deployment relation of application and node, for
Determine that by described control model new business disposes to the rule of PaaS cloud platform; In the time that traffic carrying capacity reduces, determine the rule that reduces application copy amount; In the time that traffic carrying capacity increases, determine the rule that increases application copy amount; And, in the time that node exits, the processing rule of PaaS cloud platform.
8. method according to claim 6, is characterized in that, the interactive frame of described PaaS cloud platform specifically comprises the each Field Definition of agreement, the interaction flow of protocol message bag size and protocol message.
9. method according to claim 6, is characterized in that, the described probability distribution that comprises event type, event generation with probabilistic dynamic event.
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