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openharmony集成方案 #1

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# CrowdOS与OpenHarmony技术集成优化方案
## 1. OpenHarmony技术优势分析
OpenHarmony具有以下关键技术优势：
1. 分布式架构：支持跨设备协同和资源共享。
2. 轻量级设计：适用于资源受限的IoT设备。
3. 多设备适配：支持多种硬件平台和设备类型。
4. 统一OS：从小型设备到大型系统使用相同的操作系统内核。
5. 安全性：提供端到端的安全解决方案。
## 2. CrowdOS与OpenHarmony集成优化方案
### 2.1 分布式任务处理框架
利用OpenHarmony的分布式能力，优化CrowdOS的任务分配和处理机制：
```markdown
1. 实现分布式任务池：
- 将CrowdOS的TaskPool改造为分布式存储结构
- 利用OpenHarmony的分布式数据管理能力，实现跨设备任务同步
2. 分布式任务调度：
- 改进CrowdOS的Schedule模块，支持跨设备任务调度
- 利用OpenHarmony的分布式调度能力，优化任务分配算法
3. 跨设备协同处理：
- 实现任务的分布式执行和结果聚合
- 利用OpenHarmony的跨设备通信机制，提高任务处理效率
```
### 2.2 轻量级参与者管理
利用OpenHarmony的轻量级设计，优化CrowdOS的参与者管理：
```markdown
1. 轻量级参与者客户端：
- 基于OpenHarmony开发轻量级CrowdOS客户端
- 支持资源受限设备的参与者接入
2. 动态能力发现：
- 利用OpenHarmony的设备能力发现机制
- 实时更新参与者的能力信息
3. 优化ParticipantPool：
- 改进CrowdOS的ParticipantPool，支持动态扩缩容
- 利用OpenHarmony的资源管理能力，提高参与者管理效率
```
### 2.3 多设备适配与统一接入
利用OpenHarmony的多设备适配能力，扩展CrowdOS的设备支持范围：
```markdown
1. 统一设备接入层：
- 设计基于OpenHarmony的统一设备接入接口
- 支持多种类型的智能设备接入CrowdOS
2. 自适应UI框架：
- 利用OpenHarmony的多设备UI适配能力
- 为CrowdOS开发自适应的用户界面，支持多种设备类型
3. 跨平台任务定义：
- 改进CrowdOS的任务定义机制，支持跨平台任务描述
- 利用OpenHarmony的设备能力描述，实现任务与设备能力的精确匹配
```
### 2.4 安全增强
利用OpenHarmony的安全特性，提升CrowdOS的整体安全性：
```markdown
1. 身份认证与授权：
- 集成OpenHarmony的身份认证机制
- 实现细粒度的任务访问控制
2. 数据加密与隐私保护：
- 利用OpenHarmony的加密功能，保护敏感数据
- 实现端到端的数据加密传输
3. 安全沙箱：
- 利用OpenHarmony的应用沙箱机制
- 为CrowdOS的任务执行提供隔离环境，提高系统安全性
```
### 2.5 性能优化
利用OpenHarmony的系统级优化，提升CrowdOS的整体性能：
```markdown
1. 内存管理优化：
- 利用OpenHarmony的内存管理机制，优化CrowdOS的资源使用
- 实现智能内存回收和分配策略
2. 并发处理优化：
- 利用OpenHarmony的多线程和并发处理能力
- 改进CrowdOS的任务并行处理机制
3. 电源管理：
- 集成OpenHarmony的电源管理策略
- 优化CrowdOS在移动设备上的能耗表现
```
## 3. 实施路径
1. 环境搭建：配置OpenHarmony开发环境，准备CrowdOS源代码。
2. 模块改造：逐步改造CrowdOS的核心模块，集成OpenHarmony的特性。
3. 接口设计：设计新的API接口，支持OpenHarmony集成后的新功能。
4. 测试验证：进行全面的功能和性能测试，确保系统稳定性。
5. 文档编写：更新CrowdOS的技术文档，详细说明与OpenHarmony的集成方式和新增功能。
理解您需要更详细的技术方案。我将为您提供一个更加深入和具体的CrowdOS与OpenHarmony技术集成优化方案。这个方案将详细说明如何在代码和架构层面实现集成。
# CrowdOS与OpenHarmony技术集成详细优化方案
## 1. 分布式任务处理框架
### 1.1 分布式任务池实现
#### a) 改造TaskPool结构
```java
// 修改 TaskPool 类
public class DistributedTaskPool implements TaskPool {
private DistributedDataManager dataManager;
public DistributedTaskPool() {
this.dataManager = new DistributedDataManager();
}
@Override
public void addTask(Task task) {
dataManager.put("task_" + task.getId(), task);
}
@Override
public Task getTask(String taskId) {
return (Task) dataManager.get("task_" + taskId);
}
// 实现其他方法...
}
// 新增 DistributedDataManager 类
public class DistributedDataManager {
private DistributedKvDataManager kvManager;
public DistributedDataManager() {
this.kvManager = DistributedKvDataManager.getInstance(null);
}
public void put(String key, Object value) {
kvManager.put(new KvStoreConfig("CrowdOSTaskPool"), key, value.toString());
}
public Object get(String key) {
return kvManager.get(new KvStoreConfig("CrowdOSTaskPool"), key);
}
}
```
#### b) 跨设备任务同步
```java
public class TaskSynchronizer {
private DistributedTaskPool taskPool;
private DeviceManager deviceManager;
public TaskSynchronizer(DistributedTaskPool taskPool) {
this.taskPool = taskPool;
this.deviceManager = DeviceManager.getInstance(null);
}
public void syncTasks() {
List<DeviceInfo> devices = deviceManager.getTrustedDevices();
for (DeviceInfo device : devices) {
List<Task> remoteTasks = fetchRemoteTasks(device);
for (Task task : remoteTasks) {
if (!taskPool.contains(task.getId())) {
taskPool.addTask(task);
}
}
}
}
private List<Task> fetchRemoteTasks(DeviceInfo device) {
// 使用 OpenHarmony 的远程调用机制获取远程设备的任务
// 这里需要实现具体的远程调用逻辑
return new ArrayList<>();
}
}
```
### 1.2 分布式任务调度
#### a) 改进Schedule模块
```java
public class DistributedSchedule implements Schedule {
private DistributedTaskPool taskPool;
private DistributedParticipantPool participantPool;
private DistributedTaskAssignmentAlgorithm algorithm;
public DistributedSchedule(DistributedTaskPool taskPool, DistributedParticipantPool participantPool) {
this.taskPool = taskPool;
this.participantPool = participantPool;
this.algorithm = new DistributedTaskAssignmentAlgorithm();
}
@Override
public void assignTasks() {
List<Task> tasks = taskPool.getAllTasks();
List<Participant> participants = participantPool.getAllParticipants();
Map<Task, Participant> assignments = algorithm.assign(tasks, participants);
for (Map.Entry<Task, Participant> entry : assignments.entrySet()) {
assignTaskToParticipant(entry.getKey(), entry.getValue());
}
}
private void assignTaskToParticipant(Task task, Participant participant) {
// 使用 OpenHarmony 的分布式能力进行任务分配
DistributedObjectStore.getInstance().put("assignment_" + task.getId(), participant.getId());
}
}
```
#### b) 分布式任务分配算法
```java
public class DistributedTaskAssignmentAlgorithm {
private DistributedResourceManager resourceManager;
public DistributedTaskAssignmentAlgorithm() {
this.resourceManager = DistributedResourceManager.getInstance();
}
public Map<Task, Participant> assign(List<Task> tasks, List<Participant> participants) {
Map<Task, Participant> assignments = new HashMap<>();
for (Task task : tasks) {
Participant bestParticipant = findBestParticipant(task, participants);
if (bestParticipant != null) {
assignments.put(task, bestParticipant);
}
}
return assignments;
}
private Participant findBestParticipant(Task task, List<Participant> participants) {
Participant best = null;
double bestScore = Double.MIN_VALUE;
for (Participant participant : participants) {
double score = calculateScore(task, participant);
if (score > bestScore) {
bestScore = score;
best = participant;
}
}
return best;
}
private double calculateScore(Task task, Participant participant) {
// 考虑设备性能、网络状况等因素计算得分
double devicePerformance = resourceManager.getDevicePerformance(participant.getDeviceId());
double networkCondition = resourceManager.getNetworkCondition(participant.getDeviceId());
// 这里使用简单的加权平均作为示例，实际应用中可能需要更复杂的计算方法
return 0.6 * devicePerformance + 0.4 * networkCondition;
}
}
```
### 1.3 跨设备协同处理
```java
public class DistributedTaskExecutor {
private DistributedTaskPool taskPool;
private DistributedResultAggregator aggregator;
public DistributedTaskExecutor(DistributedTaskPool taskPool) {
this.taskPool = taskPool;
this.aggregator = new DistributedResultAggregator();
}
public void executeTask(String taskId) {
Task task = taskPool.getTask(taskId);
List<DeviceInfo> devices = DeviceManager.getInstance(null).getTrustedDevices();
List<CompletableFuture<TaskResult>> futures = new ArrayList<>();
for (DeviceInfo device : devices) {
futures.add(executeTaskOnDevice(task, device));
}
CompletableFuture.allOf(futures.toArray(new CompletableFuture[0]))
.thenRun(() -> aggregateResults(taskId, futures));
}
private CompletableFuture<TaskResult> executeTaskOnDevice(Task task, DeviceInfo device) {
return CompletableFuture.supplyAsync(() -> {
// 使用 OpenHarmony 的远程调用机制在指定设备上执行任务
// 这里需要实现具体的远程调用逻辑
return new TaskResult();
});
}
private void aggregateResults(String taskId, List<CompletableFuture<TaskResult>> futures) {
List<TaskResult> results = futures.stream()
.map(CompletableFuture::join)
.collect(Collectors.toList());
TaskResult finalResult = aggregator.aggregate(results);
taskPool.updateTaskResult(taskId, finalResult);
}
}
public class DistributedResultAggregator {
public TaskResult aggregate(List<TaskResult> results) {
// 实现结果聚合逻辑
// 这里需要根据具体的任务类型来实现聚合方法
return new TaskResult();
}
}
```
## 2. 轻量级参与者管理
### 2.1 轻量级参与者客户端
```java
@Entry
@Component
public class LightweightParticipantClient extends AbilitySlice {
private ParticipantManager participantManager;
@Override
public void onStart(Intent intent) {
super.onStart(intent);
setUIContent(ResourceTable.Layout_participant_client);
participantManager = new ParticipantManager();
initUI();
}
private void initUI() {
Button joinButton = (Button) findComponentById(ResourceTable.Id_join_button);
joinButton.setClickedListener(component -> joinCrowdOS());
}
private void joinCrowdOS() {
Participant participant = createParticipant();
participantManager.register(participant);
// 更新UI显示注册成功
}
private Participant createParticipant() {
DeviceInfo deviceInfo = HiSysManager.getInstance().getDeviceInfo();
return new Participant.Builder()
.setId(deviceInfo.getDeviceId())
.setCapabilities(getDeviceCapabilities())
.build();
}
private List<Ability> getDeviceCapabilities() {
List<Ability> capabilities = new ArrayList<>();
// 获取设备能力，如GPS、传感器等
if (HiSysManager.getInstance().hasGPS()) {
capabilities.add(new GPSAbility());
}
// 添加其他能力...
return capabilities;
}
}
```
### 2.2 动态能力发现
```java
public class DynamicCapabilityDiscovery {
private DeviceManager deviceManager;
public DynamicCapabilityDiscovery() {
this.deviceManager = DeviceManager.getInstance(null);
}
public List<Ability> discoverCapabilities(String deviceId) {
List<Ability> capabilities = new ArrayList<>();
DeviceInfo deviceInfo = deviceManager.getDeviceInfo(deviceId);
if (deviceInfo != null) {
capabilities.addAll(getHardwareCapabilities(deviceInfo));
capabilities.addAll(getSoftwareCapabilities(deviceInfo));
}
return capabilities;
}
private List<Ability> getHardwareCapabilities(DeviceInfo deviceInfo) {
List<Ability> hardwareCapabilities = new ArrayList<>();
if (deviceInfo.hasGPS()) {
hardwareCapabilities.add(new GPSAbility());
}
if (deviceInfo.hasCamera()) {
hardwareCapabilities.add(new CameraAbility());
}
// 添加其他硬件能力...
return hardwareCapabilities;
}
private List<Ability> getSoftwareCapabilities(DeviceInfo deviceInfo) {
List<Ability> softwareCapabilities = new ArrayList<>();
BundleManager bundleManager = BundleManager.getInstance(null);
List<BundleInfo> installedBundles = bundleManager.getBundleInfos(BundleFlag.GET_BUNDLE_DEFAULT);
for (BundleInfo bundleInfo : installedBundles) {
// 根据安装的应用包推断软件能力
if (bundleInfo.getName().contains("map")) {
softwareCapabilities.add(new MapAbility());
}
// 添加其他软件能力...
}
return softwareCapabilities;
}
}
```
### 2.3 优化ParticipantPool
```java
public class OptimizedParticipantPool implements ParticipantPool {
private DistributedKvDataManager kvManager;
private DynamicCapabilityDiscovery capabilityDiscovery;
public OptimizedParticipantPool() {
this.kvManager = DistributedKvDataManager.getInstance(null);
this.capabilityDiscovery = new DynamicCapabilityDiscovery();
}
@Override
public void addParticipant(Participant participant) {
String key = "participant_" + participant.getId();
kvManager.put(new KvStoreConfig("CrowdOSParticipantPool"), key, serialize(participant));
}
@Override
public Participant getParticipant(String participantId) {
String key = "participant_" + participantId;
String serializedParticipant = kvManager.get(new KvStoreConfig("CrowdOSParticipantPool"), key);
Participant participant = deserialize(serializedParticipant);
// 动态更新参与者能力
List<Ability> currentCapabilities = capabilityDiscovery.discoverCapabilities(participantId);
participant.updateCapabilities(currentCapabilities);
return participant;
}
@Override
public List<Participant> getAllParticipants() {
// 实现获取所有参与者的逻辑
return new ArrayList<>();
}
private String serialize(Participant participant) {
// 实现参与者序列化逻辑
return "";
}
private Participant deserialize(String serializedParticipant) {
// 实现参与者反序列化逻辑
return new Participant();
}
}
```
## 3. 多设备适配与统一接入
### 3.1 统一设备接入层
```java
public interface DeviceAdapter {
void connect();
void disconnect();
boolean isConnected();
List<Ability> getDeviceAbilities();
void executeTask(Task task);
}
public class OpenHarmonyDeviceAdapter implements DeviceAdapter {
private String deviceId;
private DeviceManager deviceManager;
public OpenHarmonyDeviceAdapter(String deviceId) {
this.deviceId = deviceId;
this.deviceManager = DeviceManager.getInstance(null);
}
@Override
public void connect() {
deviceManager.connectDevice(deviceId, null);
}
@Override
public void disconnect() {
deviceManager.disconnectDevice(deviceId);
}
@Override
public boolean isConnected() {
return deviceManager.isDeviceConnected(deviceId);
}
@Override
public List<Ability> getDeviceAbilities() {
DynamicCapabilityDiscovery discovery = new DynamicCapabilityDiscovery();
return discovery.discoverCapabilities(deviceId);
}
@Override
public void executeTask(Task task) {
// 使用 OpenHarmony 的远程调用机制执行任务
// 这里需要实现具体的远程调用逻辑
}
}
public class DeviceAdapterFactory {
public static DeviceAdapter createAdapter(String deviceType, String deviceId) {
switch (deviceType) {
case "OpenHarmony":
return new OpenHarmonyDeviceAdapter(deviceId);
// 添加其他设备类型的适配器
default:
throw new UnsupportedOperationException("Unsupported device type: " + deviceType);
}
}
}
```
### 3.2 自适应UI框架
```java
@Entry
@Component
public class AdaptiveUIAbility extends AbilitySlice {
@Override
public void onStart(Intent intent) {
super.onStart(intent);
```java
super.onStart(intent);
DeviceInfo deviceInfo = HiSysManager.getInstance().getDeviceInfo();
String deviceType = getDeviceType(deviceInfo);
switch (deviceType) {
case "phone":
setUIContent(ResourceTable.Layout_phone_main);
break;
case "tablet":
setUIContent(ResourceTable.Layout_tablet_main);
break;
case "watch":
setUIContent(ResourceTable.Layout_watch_main);
break;
default:
setUIContent(ResourceTable.Layout_default_main);
}
initCommonUI();
}
private String getDeviceType(DeviceInfo deviceInfo) {
// Logic to determine device type based on screen size, etc.
return "phone"; // Placeholder
}
private void initCommonUI() {
Button taskButton = (Button) findComponentById(ResourceTable.Id_task_button);
taskButton.setClickedListener(component -> showTasks());
}
private void showTasks() {
// Implement task display logic
}
}
```
### 3.3 跨平台任务定义
```java
public class CrossPlatformTask extends AbstractTask {
private Map<String, Object> deviceRequirements;
public CrossPlatformTask(List<Constraint> constraints, TaskDistributionType taskDistributionType) {
super(constraints, taskDistributionType);
this.deviceRequirements = new HashMap<>();
}
public void addDeviceRequirement(String capability, Object requirement) {
deviceRequirements.put(capability, requirement);
}
@Override
public boolean canAssignTo(Participant participant) {
if (!super.canAssignTo(participant)) {
return false;
}
DeviceInfo deviceInfo = HiSysManager.getInstance().getDeviceInfo(participant.getDeviceId());
for (Map.Entry<String, Object> entry : deviceRequirements.entrySet()) {
String capability = entry.getKey();
Object requirement = entry.getValue();
if (!meetsRequirement(deviceInfo, capability, requirement)) {
return false;
}
}
return true;
}
private boolean meetsRequirement(DeviceInfo deviceInfo, String capability, Object requirement) {
switch (capability) {
case "screenSize":
return deviceInfo.getScreenWidth() * deviceInfo.getScreenHeight() >= (int) requirement;
case "camera":
return deviceInfo.hasCamera() && deviceInfo.getCameraResolution() >= (int) requirement;
// Add more capability checks as needed
default:
return false;
}
}
}
```
## 4. 安全增强
### 4.1 身份认证与授权
```java
public class SecureParticipantManager {
private AccountManager accountManager;
private AccessTokenManager tokenManager;
public SecureParticipantManager() {
this.accountManager = AccountManager.getInstance();
this.tokenManager = AccessTokenManager.getInstance();
}
public boolean authenticateParticipant(String username, String password) {
OAuthAccount account = accountManager.getAccountByName(username);
if (account == null) {
return false;
}
// In a real-world scenario, you would use a secure password hashing mechanism
return account.verifyPassword(password);
}
public String generateAccessToken(String username) {
OAuthAccount account = accountManager.getAccountByName(username);
if (account == null) {
throw new IllegalArgumentException("User not found");
}
AccessToken token = tokenManager.createAccessToken(account.getUid());
return token.getTokenId();
}
public boolean authorizeTaskAccess(String tokenId, Task task) {
AccessToken token = tokenManager.getAccessToken(tokenId);
if (token == null || token.isExpired()) {
return false;
}
// Implement your authorization logic here
// For example, check if the user has the required permissions for the task
return true;
}
}
```
### 4.2 数据加密与隐私保护
```java
public class SecureDataManager {
private static final String AES_TRANSFORMATION = "AES/GCM/NoPadding";
private static final int GCM_TAG_LENGTH = 128;
private Key secretKey;
public SecureDataManager() throws NoSuchAlgorithmException {
KeyGenerator keyGen = KeyGenerator.getInstance("AES");
keyGen.init(256);
this.secretKey = keyGen.generateKey();
}
public byte[] encryptData(byte[] data) throws Exception {
Cipher cipher = Cipher.getInstance(AES_TRANSFORMATION);
GCMParameterSpec parameterSpec = new GCMParameterSpec(GCM_TAG_LENGTH, generateIV());
cipher.init(Cipher.ENCRYPT_MODE, secretKey, parameterSpec);
byte[] encryptedData = cipher.doFinal(data);
byte[] iv = parameterSpec.getIV();
ByteBuffer byteBuffer = ByteBuffer.allocate(iv.length + encryptedData.length);
byteBuffer.put(iv);
byteBuffer.put(encryptedData);
return byteBuffer.array();
}
public byte[] decryptData(byte[] encryptedData) throws Exception {
ByteBuffer byteBuffer = ByteBuffer.wrap(encryptedData);
byte[] iv = new byte[12];
byteBuffer.get(iv);
byte[] cipherText = new byte[byteBuffer.remaining()];
byteBuffer.get(cipherText);
Cipher cipher = Cipher.getInstance(AES_TRANSFORMATION);
GCMParameterSpec parameterSpec = new GCMParameterSpec(GCM_TAG_LENGTH, iv);
cipher.init(Cipher.DECRYPT_MODE, secretKey, parameterSpec);
return cipher.doFinal(cipherText);
}
private byte[] generateIV() {
byte[] iv = new byte[12];
new SecureRandom().nextBytes(iv);
return iv;
}
}
```
### 4.3 安全沙箱
```java
public class TaskSandbox {
private AccessTokenManager tokenManager;
public TaskSandbox() {
this.tokenManager = AccessTokenManager.getInstance();
}
public void executeTask(Task task, Participant participant) {
AccessToken token = tokenManager.createAccessToken(participant.getId());
try {
// Set up the sandbox environment
SandboxContext context = new SandboxContext(token);
context.setFileAccessPermission(FileAccessPermission.READ_ONLY);
context.setNetworkPermission(NetworkPermission.RESTRICTED);
// Execute the task in the sandbox
SandboxedTaskExecutor executor = new SandboxedTaskExecutor(context);
TaskResult result = executor.execute(task);
// Process the result
processTaskResult(result);
} finally {
// Clean up the sandbox
tokenManager.removeAccessToken(token.getTokenId());
}
}
private void processTaskResult(TaskResult result) {
// Implement result processing logic
}
private class SandboxContext {
private AccessToken token;
private FileAccessPermission filePermission;
private NetworkPermission networkPermission;
public SandboxContext(AccessToken token) {
this.token = token;
}
// Getters and setters for permissions
}
private class SandboxedTaskExecutor {
private SandboxContext context;
public SandboxedTaskExecutor(SandboxContext context) {
this.context = context;
}
public TaskResult execute(Task task) {
// Implement task execution logic within the sandbox
return new TaskResult();
}
}
}
```
## 5. 性能优化
### 5.1 内存管理优化
```java
public class OptimizedMemoryManager {
private static final int MAX_CACHE_SIZE = 100;
private Map<String, SoftReference<Object>> cache;
public OptimizedMemoryManager() {
this.cache = new LinkedHashMap<String, SoftReference<Object>>(MAX_CACHE_SIZE, 0.75f, true) {
@Override
protected boolean removeEldestEntry(Map.Entry<String, SoftReference<Object>> eldest) {
return size() > MAX_CACHE_SIZE;
}
};
}
public void putObject(String key, Object value) {
cache.put(key, new SoftReference<>(value));
}
public Object getObject(String key) {
SoftReference<Object> ref = cache.get(key);
if (ref != null) {
Object obj = ref.get();
if (obj != null) {
return obj;
} else {
cache.remove(key);
}
}
return null;
}
public void clearCache() {
cache.clear();
System.gc();
}
}
```
### 5.2 并发处理优化
```java
public class ConcurrentTaskProcessor {
private ExecutorService executorService;
public ConcurrentTaskProcessor(int threadPoolSize) {
this.executorService = Executors.newFixedThreadPool(threadPoolSize);
}
public List<TaskResult> processTasks(List<Task> tasks) {
List<CompletableFuture<TaskResult>> futures = tasks.stream()
.map(this::processTaskAsync)
.collect(Collectors.toList());
return futures.stream()
.map(CompletableFuture::join)
.collect(Collectors.toList());
}
private CompletableFuture<TaskResult> processTaskAsync(Task task) {
return CompletableFuture.supplyAsync(() -> {
// Implement task processing logic
return new TaskResult();
}, executorService);
}
public void shutdown() {
executorService.shutdown();
}
}
```
### 5.3 电源管理
```java
public class PowerAwareTaskScheduler {
private PowerManager powerManager;
public PowerAwareTaskScheduler() {
this.powerManager = PowerManager.getInstance();
}
public void scheduleTask(Task task, Participant participant) {
DeviceInfo deviceInfo = HiSysManager.getInstance().getDeviceInfo(participant.getDeviceId());
if (isLowPowerMode(deviceInfo)) {
if (task.isUrgent()) {
executeTaskImmediately(task, participant);
} else {
deferTask(task, participant);
}
} else {
executeTaskImmediately(task, participant);
}
}
private boolean isLowPowerMode(DeviceInfo deviceInfo) {
return powerManager.isPowerSavingMode() || deviceInfo.getBatteryLevel() < 20;
}
private void executeTaskImmediately(Task task, Participant participant) {
// Implement immediate task execution logic
}
private void deferTask(Task task, Participant participant) {
// Implement task deferral logic
}
}
```